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Development of a receptor internalization assay for measuring and analysing RGS9-2 and
palmitoyl-CoA transferase activity in HEK cells.
by
Jin Ye Yang
A thesis submitted in conformity with the requirements for the degree of Master of Science
Department of Physiology
University of Toronto
© Copyright by Jin Ye Yang (2016)
ii
Development of a receptor internalization assay for measuring and analysing RGS9-2 and
palmitoyl-CoA transferase activity in HEK cells.
Jin Ye Yang
Master of Science
Department of Physiology University of Toronto
2016
Abstract
Regulator of G-protein signalling 9-2 (RGS9-2) complex inhibits agonist-dependent
dopamine receptor D2R activity and internalization, and plays a protective role against the
development of neuro-reward circuit dysfunction. R7 binding protein (R7BP) is necessary
for RGS9-2 protein stability and trafficking. Preliminary work from our group has shown
the palmitoyl-CoA transferase, DHHC5, can facilitate R7BP trafficking, however this
function can also enhance RGS9-2 trafficking and function. The aim of this work is to
establish an in vitro assay to verify the effects of DHHC5 and R7BP on the internalization
of D2R in HEK cells. We established a modified ELISA protocol that consistently showed
~20% internalization of surface D2R, which is not ideal, possibly due to the poor
internalization properties of D2R in HEK cells. Future efforts, therefore, will require the
development of other functional assays to examine the role of DHHC5, R7BP and RGS9-
2 as a regulator of D2R signalling and function.
iii
Acknowledgements
I would like to thank Dr. Scott Heximer, for his guidance, his advice, and his patience. It
is hard to imagine how differently I would have developed as a researcher and as a person
if I didn’t enter the Heximer lab. I want to thank you especially for pushing me every step
of the way, and I am here today because of you.
I also want to thank my supervisory committee, Dr. Ali Salahpour and Dr. Evelyn Lambe.
Your counsel and advice have always been well thought, and very helpful to my project.
Thank you to the Heximer lab members. Guillaume, your passion and discipline for
scientific research is the inspiration I look to during times of hardship. Joobin, Steph, and
Alex, the times we spent discussing science and other matters were truly happy moments
of my life, and it also got me through times of hardship. GAP-A-Ball will live on forever.
Jenny, you are a rock in the lab, I hope your daughter reaches your level of expertise in
table tennis.
I want to thank all the project students, and volunteers that came into this lab during my
time here. Mustafa, Fakhri, Boyde, Rudolpho, Katie, Emily, Frank, and Justin. I believe
we both learned a lot from each other during our conversations.
I also want to thank Vincent and Pieter, for their help and time. They had no obligation to
give me advice and show me techniques, and I am forever grateful for their help, for
without it I would have had a harder time developing my assay.
Lastly, I want to thank Winnie Lam and my family for pushing me to enter the research
experience during my undergrad, and also for their unwavering support. Your belief in my
abilities keeps me going in life.
iv
Table of Contents
Pre-content Abstract ii Acknowledgements iii Table of Contents iv List of Figures and Tables vii List of Abbreviations ix
1. Introduction 1 1.1 Altered receptor desensitization in neurological signalling dysfunction 1 1.2 Heterotrimeric G-proteins – Overview 1
1.2.1 Gα subunits 2 1.2.2 Gβγ subunits 3 1.2.3 Gβ5 – a unique member of the G beta subfamily 3 1.2.4 G-protein GTPase cycle 4
1.3 Regulators of G-protein Signalling 4 1.4 G-protein coupled receptors 5
1.4.1 GPCR activation 5 1.4.2 GPCR desensitization 5
1.5 GPCR internalization 6 1.5.1 Clathrin mediated endocytosis 6 1.5.2 G-protein Receptor Kinases 6 1.5.3 Β-arrestin 6 1.5.4 Class A & Class B internalizing GPCRs 7 1.5.5 GPCR internalization process 7
1.6 Dopamine D2 receptor 9 1.6.1 Localization and function 9 1.6.2 Role in substance abuse 9 1.6.3 RGS proteins regulate dopamine receptor signalling 10
1.7 R7 RGS proteins – Overview 10 1.7.1 RGS9-2 11 1.7.2 R7 binding protein (R7BP) 12 1.7.3 Regulation of R7BP function 13
1.8 Palmitoylation – Overview 14 1.8.1 Mammalian palmitoylation enzymes 15
1.9 DHHC5 16 1.10 Rationale 19
v
1.11 Hypothesis 19
2. Materials and Methods 20 2.1 Palmitoylation – Overview 20 2.2 Preparation of solutions and chemicals 20 2.3 Plasmid constructs 21 2.4 Confocal imaging of D2L-YFP internalization 22
2.4.1 Fixed cell imaging protocol 22 2.4.2 Live cell time course protocol 22
2.5 Measuring receptor internalization using the β-Lac assay 23 2.6 Measuring receptor internalization through cell-based Enzyme Linked
Immunosorbent Assay (ELISA) 23 2.7 Measuring total HA-D2L-Rluc expression in Luciferase quantification 24 2.8 Western blot 25 2.9 Data analysis 26
3. Results 27
3.1 Overview 27 3.2 Confocal imaging of D2L localization and internalization in HEK cells 27
3.2.1 PFA fixation protocol 27 3.2.2 Live cell protocol 28
3.3 βLac-tagged quantification of D2L surface expression and internalization 29
3.3.1 Increasing doses of βLac-D2L did not generate a reproducible internalization phenotype 30
3.3.2 Increasing the loading of cells/well expressing βLac-D2L did not generate a reproducible internalization phenotype 31
3.4 Development of ELISA assay to quantify D2L surface expression 32 3.4.1 FLAG-DOR, but not FLAG-D2L, exhibits time dependent
decreases in surface expression after drug treatment in HEK201 cells under the ELISA protocol described in Celver et al 2010. 32
3.5 ELISA protocol troubleshooting with HA-D2L-Rluc 34 3.5.1 60 min 10 µM QNP treatment is the optimal drug condition
for HA-D2L-Rluc internalization 35 3.5.2 1 µg/well of HA-D2L-Rluc is the optimal plasmid dose of
D2L internalization 36 3.5.3 Coexpression of both GRK2 and βarr2 with 1 µg/well HA-
D2L-Rluc further increases the internalization rate 36
vi
3.5.4 Optimization of 4% PFA fixation conditions to minimize HEK membrane permeability 37
3.6 RGS9-2 complex and DHHC5 co-transfection with HA-D2L-Rluc in HEK cells display a trend of decreased HA-D2L-Rluc internalization following QNP treatment 37
4. Discussion 58 4.1 Overview 58 4.2 Confocal imaging of D2L-YFP was not optimal for quantifying D2L
internalization 58 4.2.1 Limitations 59
4.3 βLac-D2L displayed inconsistent internalization, and thus the βLac assay is not viable for quantifying D2L internalization. 60
4.3.1 Limitations 61 4.4 FLAG-D2L shows inconsistent internalization compared to FLAG-
DOR 62 4.4.1 Limitations 63
4.5 HA-D2L-Rluc displays consistent internalization in HEK cells 63 4.6 RGS9-2 complex and DHHC5 co-transfection display a trend of decreased
HA-D2L-Rluc internalization 64 4.6.1 Limitations 66
4.7 Conclusion and main findings from this work 67 4.8 Future Direction 68
4.8.1 Improving the D2L internalization assay 68 4.8.2 Alternate assays for quantifying D2L activity and RGS9-2
activity 70
5. References 73
vii
List of Figures and Tables
Figure 1. Clathrin-mediated internalization and subsequent sorting of GPCRs following agonist stimulation. 8
Figure 2. DHHC palmitoylation of R7BP anchors the RGS9-2 complex at the PM to mediate RGS9-2 GAP activity towards Gi/o. 17
Figure 3. Localization of GFP-R7BP and DHHC-CFP in HEK cells. 18
Table 1. Changes made in HA-D2L-Rluc ELISA compared to FLAG-DOR ELISA 35
Figure 4. Confocal imaging of D2L-YFP in HEK after drug treatment and fixed with 4% PFA 39
Figure 5 Confocal imaging of GFP-M2 in HEK after drug treatment and fixed with 4% PFA 40
Figure 6 Confocal imaging of D2L-YFP localization in the same field of HEK cells following drug treatment 41
Figure 7. Optimization of βlac-D2L plasmid dose for high βlac-D2L surface expression in HEK 42
Figure 8. Optimization of βLac-D2L plasmid dose for 10 µM QNP induced internalization of βLac-D2L in HEK 43
Figure 9. Optimization of cell loading dose for high surface expression of βLac-D2L in HEK 44
Figure 10. Optimization of cell loading dose for 10 µM QNP induced internalization of βLac-D2L in HEK 45
Figure 11. 10 µM Isoprotenerol induced internalization of βLac-β2R in HEK 46
Figure 12. Comparison of 10 µM QNP induced βLac-D2L internalization in HEK cells stably and transiently expressing βlac-D2L 47
Figure 13. ELISA quantification of FLAG-D2L and FLAG-DOR surface expression in HEK following drug treatment. 48
Figure 14. Optimization of QNP concentration and time point in agonist induced HA-D2L-Rluc internalization in HEK 50
Figure 15. Optimization of HA-D2L-Rluc plasmid dose in 10 µM QNP induced HA-D2L-Rluc internalization in HEK cells. 51
viii
Figure 16. Optimization of 10 µM QNP HA-D2L-Rluc internalization rate in HEK with transient co-expression of transient GRK2 and βarr2. 52
Figure 17. Optimization of 4% PFA fixation in potential permeablization of HEK cells. 53
Figure 18. Validation of transient transfection of HA-RGS9-2, myc-Gβ5, GFP-R7BP, and HA-DHHC5 in HEK cells. 54
Figure 19. ELISA assay quantification of DHHC5 activity in mediating RGS9-2 inhibition of HA-D2L-Rluc internalization 56
ix
List of Abbreviations
AC Adenylate cyclase
AP-2 Assembly polypeptide-2
β-arr1/2 Beta arrestin1/2
BRET Bioluminescence resonance energy transfer
cAMP Cyclic adenosine monophosphate
CCV Clathrin-coated vesicle
CNS Central nervous system
D2R Dopamine receptor 2
D2L Dopamine receptor 2 long-isoform
D2S Dopamine receptor 2 short-isoform
DAG Diacylglycerol
DAMGO [D-Ala2, N-MePhe4, Gly-ol]-enkephalin
DARPP-32 Dopamine- and cAMP-regulated phosphoprotein, Mr 32 kDa
DEP domain Dishevelled, Egl-10 and Pleckstrin domain
DNA Deoxyribonucleic acid
ER Endoplasmic reticulum
ERK Extracellular signal-regulated kinases
G-protein Guanine nucleotide-binding proteins
GAP GTPase-activating proteins
GASP G-protein coupled receptor associated sorting protein
Gβ5 G-protein beta subunit-5
GDP Guanine diphosphate
x
GFP Green fluorescence protein
GGL domain G gamma-like domain
GIRK G protein-coupled inward-rectifying potassium channel
GPCR G protein-coupled receptor
GRIP1b Glutamate receptor-interacting protein 1
GRK G protein-coupled receptor kinase
GTP Guanine triphosphate
IP3 Inositol trisphosphate
JNK c-Jun N-terminal kinases
KO Knock out
MAPK Mitogen-activated protein kinase
MEND Massive endocytosis
MOR mu-Opioid receptor
mRNA messenger ribonucleic acid
MSN Medium spiny neurons
NAc Nucleus accumbens
OPD o-Phenylenediamine dihydrochloride
PAT Palmitoyl acyl transferases
PI3K Phosphoinositide 3-kinase
PKA Protein kinase A
PKC Protein kinase C
PLCB Phospholipase B
PM Plasma membrane
xi
PSD-95 Postsynaptic density protein-95
QNP Quinpirole
R9AP RGS9 anchor protein
R7BP R7 binding protein
RGS Regulator of G-protein signalling
ROCK Rho kinase
WT Wild type
YFP Yellow fluorescence protein
1
1. Introduction
1.1 Altered receptor desensitization in neurological signaling dysfunction
The neuro-reward circuit regulates behavioural and neurological responses to reinforcing
stimuli, such as addictive drugs (1). Dopamine (DA) is a major neurotransmitter in the
reward system that activates reward-related behaviours through the mesolimbic pathway
in response to stimuli. Dysregulation of DA signalling results in serious consequences in
the reward circuit, and altered DA signalling is commonly associated with altered
desensitization of key receptors in the signalling pathway. One of the common receptors
identified in this pathway are the heterotrimeric G-protein coupled receptors (GPCR) (2;
3). For example, the striatum is a major integration site for reward signals, and
dysregulation of DA signalling in the striatum results in the disruption of the dopamine
receptor expression profile which further exacerbates DA dysregulation (1). Understanding
the underlying mechanisms of the shift in GPCR desensitization may provide the tools to
uncover new therapeutic targets against the development and complications of substance
abuse.
1.2 Heterotrimeric G-proteins - Overview
Heterotrimeric G-proteins are expressed in every known mammalian cell type, activate a
wide range of signal cascades, and play crucial roles in almost every cell process. In their
quiescent state, heterotrimeric G-proteins are found coupled to an inactive G-protein
coupled receptor in a complex comprised of three subunits, namely a Gα monomer and a
Gβγ heterodimer. The Gα subunits contain intrinsic guanosine nucleotide binding and
GTPase activity, while the Gβγ contain numerous specific protein-protein interaction
2
surfaces. Upon ligand binding to the receptor, the heterotrimeric G-protein can be activated
(see below) allowing both Gα and the Gβγ dimer to separate and regulate independent
downstream effector proteins.
1.2.1 Gα subunits
There are 16 different members of the Gα subunit superfamily that can be divided into four
main subfamilies: Gq/11, Gs, Gi/o and G12/13 (4). The key biologic activities of the different
subfamilies are described below.
Gαq/11 subfamily: The main effector target of the Gαq/11 subfamily is phospholipase-C
(PLC), which cleaves phosphatidylinositol 4,5-bisphosphate (PIP2) to produce secondary
messengers diacylglycerol (DAG) and inositol 1,4,5-trisphosphate (IP3). DAG stays bound
to the plasma membrane (PM) due to its hydrophobic properties, and activates protein
kinase-C (PKC). IP3 diffuses to the cytoplasm, where it binds to IP3 receptors on the
endoplasmic reticulum (ER), and facilitates calcium release from the ER. The M1, M3, and
M5 muscarinic receptors are one family of well characterized Gαq/11 coupled GPCRs that
lead to PLC activation (5).
Gαs subfamily: Gαs activates the adenylate cyclase (AC) – cAMP pathway. Activated AC
produces secondary messenger cAMP, which activates downstream effectors such as
protein kinase A (PKA) and mitogen-activated protein kinase (MAPK), which are
important protein kinases that trigger and regulate a wide range of cellular functions,
including the drug reward signalling. Gαs bound GPCRs, such as the D1 dopamine receptor,
are known activators of stimulatory signalling (5).
Gαi/o subfamily: Gαi/o is an inhibitor of the AC – cAMP pathway. In contrast to Gαs, activated
Gαi/o inhibits AC production of cAMP, which inhibits downstream activation of PKA and
3
PKC. Thus, Gαi/o coupled GPCRs such as D2R activate inhibitory pathways in the cell,
which negatively regulates the drug reward system. The Gi/o family also contains the Gz
protein, which has been implicated in cell survival and cell death (6); the Gt protein
(transducing), which couples to rhodopsin in the retina rods (7); and Ggust protein
(gustducin), which bind taste receptors (8).
Gα12/13 subfamily: Gα12/13 is an activator of another monomeric GTPase RhoA, and GTP-
bound RhoA activates downstream effector Rho kinase (ROCK) (9; 10). ROCK has been
show to activate c-Jun N-terminal kinase (JNK), an important protein kinase involved in
activating cellular responses to stress-stimuli (11; 12)
1.2.2 Gβγ subunits
The Gβγ subunit is a dimeric structure that activates Gα independent pathways after
dissociation. There are currently 5 known Gβ and 12 known Gγ subunits. The first 4 Gβ
subunits (Gβ 1, 2, 3, 4) share an 80% sequence homology, while Gβ5 shares approximately
only 50%. Canonical Gβγ effector pathways include AC activation/inhibition, PLC
activation, and opening of G-protein inward-rectifying potassium channels (GIRKs) (5).
1.2.3 Gβ5 – a unique member of the Gβ subfamily
As mentioned above, Gβ5 is a unique Gβ subunit that shares a much lower sequence
homology with the other Gβ subunits. Gβ5 exists as a long (Gβ5L) and short isoform (Gβ5S),
with the former expressed exclusively in the retinal photoreceptor cells. Gβ5S is highly
expressed in the brain, and is able to bind Gγ to activate canonical pathways such as PLC-
β and ACII in vitro (13; 14). Unlike Gβ1-4, Gβ5 also can bind to the G-gamma-like (GGL)
domains found in the R7 family of RGS proteins. This GGL domain interaction is shown
to be crucial for proper protein folding and stability of both R7 RGS proteins and Gβ5 (15;
4
16). Indeed, studies have shown that Gβ5 KO mice displayed drastic down-regulation of
only the GGL domain-containing R7 RGS proteins, and the KO mice displayed impaired
neural development, impaired neural learning, impaired motor coordination, and
hyperactivity (17; 18).
1.2.4 G-protein GTPase cycle
In the inactive state, Gα is GDP-bound and is closely associated to Gβγ. Receptor activation
promotes the exchange of GDP for GTP on the Gα subunit, and consequent dissociation of
Gα from Gβγ. Known as the active state, both Gα and Gβγ can activate their specific
downstream effectors while in this state. Termination of G-protein signalling occurs
following hydrolysis of GTP to GDP by the intrinsic Gα GTPase activity, and reassociation
of the heterotrimeric state (19). Notably, the intrinsic GTPase activity of Gα is very slow,
and is the rate-limiting step of the GTPase cycle.
1.3 Regulators of G-protein Signalling
Due to the slow intrinsic GTPase activity of Gα subunits, GTPase activating proteins
(GAP) such as regulators of G-protein signalling (RGS) are needed to catalyze GTP
hydrolysis to account for the rapid ON-OFF signalling kinetics of numerous GPCR
pathways(20). RGS proteins are a prominent family of >35 GAPs for Gα subunits. RGS
proteins accelerate the GTPase activity and shorten the duration of G-protein activation
and signal transduction (21). Proteins in this family are defined by a 120-130 amino acid
RGS domain, which binds Gα and increases the GTP hydrolysis rate by up to 2000 times,
effectively decreasing both the amplitude and duration of G-protein activity. RGS proteins
have been shown to regulate Gi, Gq, and G12/13, but not Gs, in vitro (22).
5
1.4 G-protein coupled receptors.
1.4.1 GPCR activation
GPCRs are helical transmembrane receptors expressed in almost every tissue type.
All GPCRs have seven transmembrane domains consisting of α helices, with an
extracellular N-terminal domain and intracellular C-terminal tail (23). Ligand binding to
the GPCR triggers guanine neucleotide exchange (exchange of GTP for GDP on the Gα
subunit), separation of the Gα and Gβ, and subsequent activation of the appropriate
downstream signal cascades. Each GPCR couples to a specific set Gα subunits (Gq/11, Gi/o,
Gs, G12/13), which determines the effector pathways that are activated by the GPCR (24).
GPCRs are estimated to be targeted by 50% of all drugs, and are important therapeutic
targets in research.
1.4.2 GPCR desensitization
Desensitization is a general term describing the negative feedback regulation of
GPCR signalling after ligand stimulation. The process of desensitization can take the form
of dissociation between the GPCR and coupled G-proteins, conformational changes in
GPCR protein structure leading to decreased specificity for ligand, and internalization of
the GPCR to the cytosol. GPCR desensitization is an important regulatory mechanism for
G-protein mediated effector signalling. Specifically, homologous GPCR desensitization is
the ligand induced down-regulation of GPCR signal transduction after activation, whereas
heterologous desensitization is the ligand induced down-regulation of an unrelated GPCR.
This thesis will focus mainly on homologous desensitization via agonist-mediated receptor
internalization.
6
1.5 GPCR internalization
1.5.1 Clathrin-mediated endocytosis
GPCR internalization is a major step in homologous receptor desensitization, which
involves endocytosis of the GPCR into the cytoplasm, where extracellular ligands do not
have access to them. Clathrin-mediated endocytosis (Figure 1) is the most well
characterized and prominent form of internalization, and its machinery and the subsequent
sorting of GPCRs will be discussed below.
1.5.2 G-protein Receptor Kinases (GRK)
GRKs are a family of multi-domain protein kinases that phosphorylate activated
GPCRs which flags them for internalization (25). There are 7 vertebrate GRKs divided into
three subfamilies, GRK1 (GRK1 & 7), GRK2 (GRK2 & 3) and GRK4 (GRK4, 5 & 6) (26;
27; 28). All GRKs share a GRK-unique 25 residue N-terminal domain, an RGS domain,
and an AGC kinase domain. GRK phosphorylates GPCRs on the intracellular loops and
also the C-terminal tails, which allows high affinity arrestin binding to the GPCR, which
is the next step of GPCR internalization (28).
1.5.3 β-arrestin
The arrestin family of scaffolding proteins is comprised of Arrestins 1, 2, 3 & 4
(29). Arrestins 2 & 3, also named β-arrestin 1 & 2, are widely expressed in virtually all
tissues, and have a low binding affinity to GPCRs until they are phosphorylated by a GRK
(30). β-arrestins bind phosphorylated GPCRs at the intracellular domain, and regulate
GPCR signalling by preventing receptor coupling to the G-protein complex, and recruiting
clathrin, AP-2 and dynamin to the GPCR to initiate clathrin-mediated internalization (31).
7
β-arrestin can also activate MAPK pathways after GPCR internalization, either at the PM,
or through internalized GPCR in the intermediate vesicles (32; 33).
1.5.4 Class A & Class B internalizing GPCR
Two types of GPCRs have been categorized based on their interaction with β-arrestin.
GPCR activation mediates ubiquitination of β-arrestin, which is necessary for GPCR
internalization (34). Class A GPCR activation mediates a transient ubiquitination of β-
arrestins, and as a result also binds β-arrestin transiently. In contrast, Class B GPCR
activation mediates a more stable ubiquitination of β-arrestin, and as a result binds β-
arrestin stably (35; 36; 37). The difference in β-arrestin binding has been shown to
determine GPCR sorting after internalization. Class A GPCRs dissociate from β-arrestin
soon after internalization, and the majority are rapidly recycled back to the PM and
reactivated. In comparison, Class B GPCRs maintain β-arrestin binding inside the CCV,
and the GPCR-β-arrestin complex can activate alternate downstream signal cascades
independent of G-proteins, such as ERK1/2. After β-arrestin dissociation, majority Class
B GPCRs are targeted for lysosomal degradation, as they display higher binding affinity to
GPCR associated sorting protein (GASP), a cellular determinant for GPCR lysosomal
degradation (29; 38).
1.5.5 GPCR Internalization process
After GPCR activation, GRKs are recruited to the PM and phosphorylate the activated
GPCRs. Subsequent β-arrestin binding to the GPCR then blocks further coupling between
GPCR and G-protein, and recruits the clathrin, AP-2 and dynamin. The GPCR is now
sequestered in a clathrin-coated pit, which then breaks off from the PM through dynamin
activity. The clathrin coated vesicle (CCV) traffics to the cytoplasm, where the GPCR can
8
be recycled to the cell surface, degraded, and/or activate G-protein independent pathways.
The exact pathway depends on the GPCR, and its specific interaction with β-arrestin and
GASP.
Figure 1. Clathrin-mediated internalization and subsequent sorting of GPCRs following agonist stimulation. After agonist stimulation and subsequent activation of G-proteins, (A) GPCRs are phosphorylated by GRKs leading to high-affinity βarr1/2 binding and sorting into clathrin-coated pits. (B) The GPCR then internalizes into the cytoplasm in clathrin-coated vesicles, and is sorted into three pathways. (C) Class A internalizing GPCRs are rapidly recycled to the PM from the clathrin-coated vesicles, while (D) Class B internalizing GPCRs are sorted to lysosomes to be degraded. (E) Both classes of GPCRs can also activate G-protein independent pathways in the intermediate vesicles.
9
1.6 Dopamine D2 receptor
1.6.1 Localization and function
Dopamine D2 receptor is a Gi/o coupled prominently expressed throughout the neural
reward circuit in the brain. D2R exists in short (D2S) and long isoforms (D2L), with D2S
mainly expressed presynaptically as an autoreceptor, and D2L mainly expressed
postsynaptically (39). In the striatum, which is an important input centre for DA mediated
reward signalling, D2L is expressed post-synaptically in D2R-expressing GABAergic
medium spiny neurons (MSN). MSNs comprise 90% of all neurons in an area of the ventral
striatum named the nucleus accumbens (NAc). D2L stimulation inhibits adenylate cyclase
5 (AC5) mediated cAMP production, and subsequently inhibits PKA activity, as well as
the amplification of PKA activity by DA- and cAMP-regulated phosphoprotein of 32 kDa
(DARPP-32) (40). The cAMP – PKA – DARPP-32 is an important signalling pathway
required for DA reward signalling. In turn, D2 expressing MSNs activate the indirect
striatal signalling pathway, which has been shown to inhibit the reward pathway (41). D2L
is a Class A internalizing GPCR, and rapidly recycles to the cell surface after GRK-β-
arrestin mediated internalization (42).
1.6.2 Role in substance abuse
D2R has been shown by various studies to have a protective effect against the addictive
and stimulatory effects of cocaine, which release high concentrations of DA into the NAc.
D2R KO mice displayed an increase in cocaine self-administration, and a slight increase
in cocaine induced locomotor activity (43; 44; 45; 46). In contrast, D2R overexpression
diminished the stimulatory effects of cocaine in mice (47).
10
Under chronic conditions, extended DA exposure impairs D2R regulation of DA
signalling. Mice chronically treated with cocaine displayed a decrease in D2R modulated
neural firing, as well as a decreased ratio of D2R to D1R protein expression (48; 49).
1.6.3 RGS proteins regulate dopamine receptor signalling.
RGS proteins are highly expressed in the brain, and regulate key aspects of the central
nervous system (CNS) physiology, such as synaptic plasticity, synaptic transmission, and
neurotransmission release (50; 51; 52; 53). Among the RGS proteins, the R7 family (RGS-
6, -7, -9, -11) RGS proteins have been characterized in the regulation of dopamine
signalling (54; 55). Furthermore, RGS9-2 is a well characterized regulator of D2R
signalling (55; 56).
1.7 R7 RGS proteins - Overview
The R7 subfamily of RGS proteins (RGS6, RGS7. RGS9-1, RGS9-2, RGS11) are
defined by a GGL and DEP (Dishevelled, Egl-10 and Pleckstrin) domain, which bind Gβ5
and R7 RGS binding protein (R7BP), respectively (18; 57; 58). These two proteins are both
obligate partners for R7 RGS proteins only. The R7- Gβ5 dimer formation stabilizes both
proteins and R7 GAP function, while R7BP binding further enhances the GAP activity of
the complex and facilitates localization to the plasma membrane in proximity to Gi/o.
Without Gβ5, R7 RGS proteins are severely degraded in mice. Together with these two
obligate binding proteins, R7 family RGS proteins are all highly expressed in the brain,
while RGS9-1 is expressed exclusively in photoreceptors of the eye with Gβ5L and R9AP,
a homolog of R7BP (59; 60). All R7 RGS proteins are important regulators of neural
signalling and processes.
11
1.7.1 RGS9-2
RGS9-2, the main R7 RGS protein of this thesis, is highly expressed in the NAc MSNs,
together with RGS7 and RGS4 (61; 62), and is expressed to a lower degree throughout the
remainder of the brain and spinal cord (61; 62; 63). RGS9-2 has been identified to be an
important regulator of G-protein signalling in neurons, and has GAP activity towards Gi/o.
RGS9-2 co-expression inhibits ligand mediated D2R internalization in HEK cells, as well
as DAMGO mediated mu-opioid receptor (MOR) internalization in PC12 cells (56; 64).
RGS9-2 has also been shown to accelerate the on/off kinetics of D2R mediate GIRK
activation in oocytes. Lastly, RGS9-2 directly binds and inhibits AC5 activation by Gβγ
(65). Together this suggests RGS9-2 is an important regulator of D2R signal transduction
in the MSN.
RGS9-2 mRNA and protein expression is altered in the NAc after acute and chronic
cocaine or morphine treatment. Acute morphine administration increased RGS9-2 mRNA
levels in the NAc up to 50%, while chronic morphine treatment decreased RGS9-2
expression by 50% (66). In the same study, acute and chronic morphine treatment did not
alter protein expression of RGS7 and RGS11. Other studies show that chronic morphine
administration in mice in fact elevates RGS9-2 protein levels in the NAc significantly (67).
Chronic cocaine treatment in mice also up-regulated RGS9-2 protein levels without
affecting protein expression of RGS7 or RGS11 (65). These results indicate a possible role
for RGS9-2 in the regulation of cocaine/morphine mediated signalling in the NAc.
RGS9-2 knockout mice displayed increased sensitivity to morphine, as 0.5 mg/kg was
enough to induce a place preference response in KO mice, ten times lower than the
minimum dosage required in WT mice (66). KO mice were also more sensitive to the
12
analgesic effects of morphine, shown through a 52 °C hot plate test, and in another study a
52 °C hot water tail flick test (66; 68). Lastly, KO mice displayed delayed drug tolerance
development. Repeated hot plate testing throughout a week in KO mice showed a slower
drop off in drug efficacy than in WT mice (66). RGS9-2 displays a similar regulatory role
to cocaine response. RGS9-2 lentiviral overexpressed mice showed decreased sensitivity
to cocaine induced locomotor activity at lower dosages (10 mg/kg). In contrast, RGS9-2
KO mice displayed increased sensitivity to locomotor stimulatory effects of cocaine, as
well as an increase in cocaine self-administration, an indicator of substance dependence
(65). Together, the results indicated RGS9-2 as a regulator of drug response in the NAc.
1.7.2 R7 binding protein (R7BP)
R7BP was discovered as a brain-enriched protein that could bind to RGS9-2 – Gβ5
with sequence homology to R9AP, a previously discovered RGS9-1 interacting protein
(69; 70). R7BP is a SNARE-like protein that shuttles between the nucleus and PM. R7BP
binds and shuttles all members of R7 RGS proteins subfamily to the PM, where they can
exert GAP activity on selective G proteins (70; 71). R7BP has been shown to promote
protein stability of RGS9-2 – Gβ5 dimer by binding RGS9-2 at the DEP domain, and DEP
deletion mutation in RGS9-2 abolished R7BP binding and increased RGS9-2 protein
degradation (69; 72).
R7BP is of particular interest in this thesis for its unique relationship with RGS9-
2. R7BP co-expression in vitro increased the degradation half-time of RGS9-2/Gβ5 almost
6 fold, and significantly decreased ubiquitin marking (72). R7BP knockout results in the
down-regulation of RGS9-2 protein levels in mice striatal tissue, while the mRNA levels
of RGS9-2 remain unchanged (72; 73). Strikingly, protein levels of other R7 RGS proteins
13
were unaltered in the same tissue. Also, Anderson et al 2007 showed that RGS9-2 was
mainly cytosolic in R7BP-KO mice, indicated R7BP is also necessary for RGS9-2
localization (70). This suggests a unique functional relationship between RGS9-2 and
R7BP that is not present for the other R7 RGS proteins family members. Re-expression of
R7BP in R7BP KO mice restored protein levels of RGS9-2, and did not alter protein levels
of other R7 RGS proteins. R7BP also displays higher binding affinity to RGS9-2 than
RGS7 (Kd 1.1 nM vs Kd 12.7 nM) in striatal tissues, as shown through surface plasmon
resonance spectroscopy. Lastly, RGS9-2 co-expression displaces RGS7-R7BP association
more readily than RGS7 to RGS9-2 – R7BP in vitro (74). Together, these results indicate
a dynamic and unique interaction between RGS9-2 and R7BP that so far has not been
shown in any other R7 RGS protein.
R7BP KO mice performed poorly compared to WT mice on the rotarod test, a motor
coordination test, which requires mice to balance on a horizontal rotating cylinder rod (75).
Motor coordination was rescued when R7BP was re-expressed in KO mice. R7BP KO mice
displayed increased locomotor activity in response to morphine treatment. Specifically, KO
mice displayed increased locomotor activity after 5 mg/kg dose of morphine, which failed
to elicit an increased locomotor response in WT mice (75; 76). In addition, KO mice were
also more sensitive to the analgesic effects of morphine, as they stayed for a longer time in
the hot plate test (76). KO mice also displayed impaired drug tolerance, as the time spent
on the hot plate remained the same throughout 5 days of trials for KO mice, while WT
mice showed steady decrease. The similar responses of RGS9-2 KO and R7BP KO mice
to morphine treatment further suggests a unique partnership between RGS9-2 and R7BP
in regulating the drug reward pathway.
14
1.7.3 Regulation of R7BP function
R7BP cellular localization is tightly associated with palmitoylation of two cysteine residues
on the C-terminal tail (77). R7BP localizes to the PM when palmitoylated, and relocates to
the nucleus when depalmitoylated. C-S mutation of the both residues leads to accumulation
of R7BP in the nucleus (70; 77), whereas overexpression of palmitoylating enzyme
DHHC2 leads to accumulation of R7BP at the PM in vitro (78). R7BP palmitate turnover
is important for RGS9-2 function; inhibition of R7BP depalmitoylation decreased RGS9-
2 GAP activity towards Gi/o mediated GIRK channels in Neuro2A cells (79). Together, the
data presented here for R7BP suggest a possible role for R7BP in mediating RGS9-2 GAP
function towards D2R signalling and internalization, and palmitate turnover of R7BP is an
essential component of RGS9-2 mediated D2R signalling inhibition (Figure 2).
1.8 Palmitoylation - Overview
Proteins undergo various forms of post-translational modifications, such as
isoprenylation, myristolaytion, phosphorylation and palmitoylation, which mediate protein
function, localization and interactions in the cell (80). S-palmitoylation is the reversible
attachment of a 16 carbon palmitate to a cysteine residue via a thioester bond (81). N-
palmitoylation in contrast results in an amide attachment to the cysteine (82). S-
palmitoylation will be the main focus for this thesis due to its reversible nature and
regulation of GPCRs, G-proteins, RGS proteins, and R7BP. Palmitoylation can mediate
PM anchoring of GPCRs, Gα, Gβ/γ, RGS proteins and R7BP. It can also mediate protein-
protein interactions between GPCR and G-protein, and between GPCR and GRK (81; 82).
15
1.8.1 Mammalian Palmitoylation Enzymes
Palmitoylation is carried out by palmitoyl-acyl transferases (PATs), and the removal of
palmitates through thioester bond cleaving is carried out by acylprotein thioesterases
(APTs) (81; 82). The 23 protein family of mammalian PATs are named DHHC enzymes,
and they are ubiquitously expressed in all human tissue except for DHHC2, 11. 15. 19 and
20 (83). The PATs contain a conserved DHHC-CRD domain, named after a part of the
conserved sequence motif, which mediates the thioester attachment of the palmitate to a
cysteine (84). PATs are also palmitoylated through autoacylation in the presence of
palmitoyl-CoA, which allows the PATs to bind either the PM or ER/Golgi membranes
(85).
1.9 DHHC5
DHHC5 is encoded by the ZDHHC5 protein, and is mainly localized at the PM in
both HEK and neural cells, and in the post-synaptic membrane of dendrites in neurons (86;
87). DHHC5 contains two transmembrane domains with the DHHC domain in between,
and three palmitoylated cysteines in the C-terminal, which is also the binding site for its
substrates (88). DHHC5 is highly expressed throughout the brain, and has been shown to
palmitoylate proteins that play integral roles in regulating synaptic organization. The
function of DHHC5 in the brain has not been fully characterized. So far, flotillin-2,
GRIP1b, ankryin G, and δ-catenin are four PM organization proteins shown to be
palmitoylated by DHHC5, which mediated membrane localization and function of these
four proteins (87; 89; 90; 91). DHHC5 has also been shown to interact with PSD-95, but it
is unclear whether DHHC5 palmitoylates PSD-95 like other DHHC proteins (92). In the
same study, mice expressing gene trapped DHHC5 displayed deficiency in fear
16
conditioning learning. Lastly, DHHC5 has been implicated in the massive endocytosis
events in fibroblasts (93; 94). These data show DHHC5 is involved mostly with proteins
at the PM, specifically in the post-synaptic membranes of neurons. In our lab, work by Dr.
Guillaume Bastin has shown that DHHC5 overexpression in HEK cells resulted in R7BP
aggregation in the PM (Figure 3), while overexpression of the dominant negative mutation
DHHS5 lead to R7BP accumulation in the nucleus, displaying that DHHC5 palmitoylation
can also mediate the shuttling function of R7BP in a similar fashion as DHHC2.
Considering the expression of endogenous DHHC5, R7BP, RGS9-2 and D2R in the NAc,
these results suggest DHHC5 can possibly mediate RGS9-2 GAP activity towards D2R in
a HEK cell model (Figure 2).
17
Figure 2. DHHC palmitoylation of R7BP anchors the RGS9-2 complex at the PM to mediate RGS9-2 GAP activity towards Gi/o. (A) R7BP is palmitoylated at two cysteine resides at the C-terminal by DHHC enzymes, which leads to RGS9-2 complex anchoring at the PM. (B) RGS9-2 accelerates GTP hydrolysis by activated Gi/o, which (C) shuts down Gi/o and Gβγ mediated pathways and reassembly of the G protein subunits. In this thesis, an important pathway inhibited by the RGS9-2 complex is GPCR internalization, as described in Figure 1. It is therefore hypothesized by us that DHHC5 palmitoylating activity can enhance RGS9-2 inhibition of D2R internalization, as described in the Rationale and Hypothesis section.
18
Figure 3. Localization of GFP-R7BP and DHHC-CFP in HEK cells. Images were captured with Olympus Images were captured with Olympus Fluoview 1000 confocal microscope, excitation wavelength 515 nm and 405 nm, 60x oil magnification. A. GFP-R7BP expressed transiently in HEK cells. B GFP-R7BP co-expressed with DHHC5 transiently in HEK cells. C. GFP-R7BP co-expressed with DHHS5 dominant negative mutant. D. DHHC5-CFP transiently expressed in HEK cells. Work credit: Dr. Guillaume Bastin.
19
1.10 Rationale:
RGS9-2 is a negative regulator of D2R signalling internalization. RGS9-2 requires obligate
partners Gβ5 and R7BP for protein folding, protein stability, localization, and GAP
function. Indeed, deletion of R7BP severely down-regulates RGS9-2 protein expression in
the NAc. Recent studies and results from our lab have shown that palmitoylating enzymes
DHHC2 and DHHC5 promote R7BP PM localization through palmitoylation of two C-
terminal cysteine, and study has shown that alteration of the R7BP palmitate cycle inhibits
RGS9-2 GAP activity towards Gi/o. No studies have yet shown whether DHHC5 can
mediate RGS9-2 regulation of D2R internalization via R7BP localization.
1.11 Hypothesis:
(A) A cell culture-based D2R internalization assay would be a viable functional assay for
quantifying the effect of DHHC5 palmitoyl CoA-transferase activity on R7BP localization
and RGS9-2 GAP function. (B) Specifically, DHHC5 will inhibit D2R internalization in
HEK cells by regulating R7BP trafficking, an important component of the RGS9-2
complex.
20
2. Materials and Methods
2.1 Cell culture
HEK201 cells were cultured in 10 cm cell culture dishes (BD Falcon Canada,
Catalog #353003) in culture media with 50% +L-Glutamine F12 (Gibco Canada, Catalog
#11330032) and 35% DMEM (Gibco Canada, Catalog #11995073), 10% FBS (Gibco
Canada, Catalog #12483020) and 5% Penicillin/Streptomycin (Gibco Canada, Catalog
#15140122). To increase HEK cell adhesion to multi-well plates, 24 well plates (Costar
Canada, Catalog #3526), 48 well plates (Grenier Canada, Catalog #677180) and 96 well
plates (Sarstedt Canada, Catalog #83.3924) were treated with Poly-L-Lysine (Sigma
Aldrich Canada, Catalog #P4707) for 10 minutes, air dried for 30 minutes, and washed
with MilliQ water prior to cells seeding. For transfection, HEK cells were seeded at 60-
70% in 6 well plates (BD Falcon Canada, Catalog #353046), incubated at 37°C and 5%
CO2 with the X-tremeGene transfection reagent mixture containing 150 µL Opti-MEM
(Gibco Canada, Catalog #31985070), 2.5 µL X-tremeGene HP DNA transfection reagent
(Roche Canada, Catalog #06366236001), and up to 2 µg total plasmids according to the
manufacturer’s instructions. For transfection of 3 µg of total plasmids, everything in the
transfection mixture was scaled up 1.5 times. The transfection mixture was added to pre-
plated HEK cells in 6 well plates.
2.2 Preparation of solutions and chemicals
Quinpirole (QNP, Sigma Aldrich Canada, Catalog #Q102) was prepared as a 10 mM maser
stock in MilliQ water, and 100 µM QNP stocks were prepared from the master stock. For
drug treatment, old media was aspirated, and 500 µL serum free media buffered with
21
HEPES was added to each well. 55 µL of 100 µM stock QNP was added to each well to
make a final concentration of 10 µM QNP in each well, and for vehicle 55 µL of MilliQ
water was added. Dopamine (DA, Sigma Aldrich Canada, Catalog #H8502) was prepared
as a 100 µM stock solution in MilliQ with ascorbic acid (500 µM) (95). 10X PBS stock
was prepared in the lab (1.37 M NaCl, 27 mM KCl, 100 mM Na2HPO4, 18 mM KH2PO4)
and adjusted to 7.4 pH. 1X PBS was made by diluting 10X PBS as 1:10 in MilliQ. 5%
bovine serum (BSA, Bioshop Canada, Catalog #ALB001.250) in PBS was made by
dissolving the BSA in 1X PBS and adjusting to 7.4 pH. 4% paraformaldehyde (PFA) was
made by dissolving 2 g of paraformaldehyde (Sigma Aldrich Canada, Catalog #158127) in
50 mL 1X PBS heated to 60°C on a hot plate stirrer, adjusting to 7.4 pH after cooling to
room temperature, and filtering with 0.22 µm filters (Millipore Canada, Catalog
#SLGP033RS). Fresh 4% PFA was made for each new experiment. OPD peroxidase
substrate (o-Phenylenediamine dihydrochloride, Sigma Aldrich Canada, Catalog #P9187)
was prepared by dissolving the OPD tablet and OPD buffer tablet in 50 mL MilliQ through
vortex.
2.3 Plasmid constructs
HA-RGS9-2, FLAG-Gβ5, GFP-R7BP WT/SS were kindly provided by Dr. K. Blumer. HA-
DHHC5 was kindly provided by the Fukata Lab. HA-DHHS5 mutant was generated using
site-directed mutagenesis by Kaveesh Dissanayake in the Heximer Lab. D2L-RFP was
provided by Dr. J. Baik. GFP-M2 was kindly provided by Dr. J. Wells. FLAG-DOR and
FLAG-D2R were kindly provided by Dr. A. Kovoor. βLac-D2L was kindly provided by
Dr. M. Beaulieau. βLac-β2R and HA-D2L-Rluc was kindly provided by Dr. A. Salahpour.
22
D2L-YFP was created by cutting out the D2L insert in D2L-RFP at the 5’ BglII and
3’EcoRI site and inserting the gene cassette into PEYFP-N1 digested with the same
enzymes. Myc-Gβ5 was cloned out of FLAG-Gβ5 through PCR with primers
(Forward:5’GATCGCTCTTCCATGGAACAAAAACTCATCTCAGAAGAGGATCTG
ATGGCAACCGAGGGGCT 3’.
Reverse: 5’GATCGCTCTTCCTCATTAGGCCCAGACTCTGAG 3’). The insert was
then reinserted into a non-tagged vector. The new vector was verified with colony screen,
DNA sequencing, and western blotting.
2.4 Confocal Imaging of D2L-YFP Receptor Internalization
2.4.1 Fixed cell imaging protocol
HEK cells were seeded at 60-70% confluence in 35 mm confocal dishes (Ibidi Canada,
Catalog #81158). 24 hours after transfection, cells were stimulated with 10 µM DA or
vehicle. After treatment cells were washed three times with ice cold 1X PBS, fixed with
ice-cold 4% PFA for 3 min on ice, and washed three more times with ice cold PBS. 1 ml
of PBS was then added to each dish, and the cells were viewed with the Olympus FluoView
1000 laser scanning confocal microscope in the AOMF microscopy facility in Max Bell
Research Centre. Image analysis is described in the Data Analysis section below.
2.4.2 Live cell time course protocol
HEK cells were prepared in the same manner as the fixed cell imaging protocol. 24 hours
after transfection, old cell media was replaced with 1 ml fresh media, and the dish was
viewed under the Olympus FluoView 1000 laser scanning confocal microscope. After
choosing a field of cells, 10 µL of 1 mM DA was added into the media, and the same field
23
of cells were viewed at various time points after DA administration. Image analysis is
described in the Data Analysis section below.
2.5 Measuring receptor internalization using the “β-Lac” assay
Receptor internalization studies were performed using the “β-Lac” assay essentially as
previously described by the Salahpour laboratory (96). HEK cells were seeded in 6 well at
60-70% confluence. βLac-D2L was transiently expressed in each well with X-tremeGene.
6 hours after transfection, the cells were trypsinized and each experiment condition was
seeded in triplicates in Poly-L-lysine coated clear 48 well plates. 24 hours after
transfection, the media in the 48 well plates were aspirated, and 500 µL of FBS serum free
DMEM/F12 media buffered with 17 mM HEPES was added in each well. 30 minutes after
serum starvation, 55 µL of 100 µM QNP or MilliQ water was added in each well. After
treatment the wells were washed 3 times with 1X PBS on ice. 200 µL of 100 µM Nitrocefin
(EMD Millipore Canada, Catalog #484400) diluted in PBS was then added to each well,
and the plate was read immediately in 1 min intervals at 486 nm for 30 minutes in an
EPOCH microplate spectrophotometer (Biotek). Calculation of βLac-D2L surface
expression and internalization rate is described in the Data Analysis section.
2.6 Measuring receptor internalization through cell-based Enzyme Linked
Immunosorbent Assay (ELISA)
Celver et al 2010 previously used a cell culture-based ELISA assay to quantify agonist-
induced FLAG-D2L internalization in HEK cells (56). HEK cells were seeded in 6 well
plates at 60-70% confluence. FLAG-D2L was transiently expressed in each well with X-
24
tremeGene. 6 hours after transfection, the cells were seeded in triplicates for each condition
in Poly-L-Lysine coated cell culture treated 48 well clear bottom white plates (200,000
cells/well). 24 hours after transfection, the media was aspirated, and 200 µL of serum free
media was added in each well. 30 minutes after serum starvation, 20 µL of 100 µM QNP
or MilliQ water was added in each well. After drug treatment the plate was placed on ice
and washed once with ice-cold PBS. Then each well was treated with ice cold 4% PFA for
5 minutes, and afterwards washed three times with PBS at room temperature. Each well
was then blocked with 5% BSA in PBS for at least 45 minutes, and then blotted with HRP-
conjugated anti-FLAG M2 (Sigma Aldrich Canada, Catalog # A8592) in 5% BSA (1:1000
dilution) for at least an hour. The wells were then blocked again for at least an hour, then
blotted with secondary anti-mouse antibody (GE Healthcare Canada, Catalog #NA931-
1ML) in 5% BSA (1:1000 dilution) for at least an hour, and then washed 3 times with 5%
BSA, then 2 times with 1X PBS. OPD and enhanced chemiluminescence (ECL, Thermo
Scientific Canada, Catalog #WP20005) were two substrates used to quantify HRP signal,
and were loaded at 500 µL/well in 24 well plates, and 200 µL/well in 48 well plates. D2L
internalization rate quantification is described in Data Analysis section.
2.7 Measuring total HA-D2L-Rluc expression with Luciferase quantification.
HEK cells were transfected with HA-D2L-Rluc in 6 well plates, and seeded in white 96-
well plates at 10,000 cells/well, and 24 hours after transfection the media was replaced
with 90 µL PBS, and 10 µL of H-Coelenterazine (Nanolight USA, Catalog #301-500)
prediluted in PBS (1:40) was added to each well. The plate was then read under the Mithras
LB940 microplate reader (Berthold USA) at 475 nm emission.
25
2.8 Western blot
HEK cells were seeded at 60-70% confluence in 6 well plates and transfected with
X-tremeGene reagent. Cells were lysed with SDS lysis buffer 24 hours after transfection,
and sonicated at 40 kHz with the Sonic Dismembrator Model 150 (Fisher Canada).
Samples were ran on 8% polyacrylamide gels at 90 V for half an hour, then 120V for 2
hours in running buffer (3.03 g/L Tris-HCL (Bioshop Canada, Catalog #TRS002.500), 14.4
g/L Glycine (Bioshop Canada, Catalog #GLN001.1), 10 mL/L 10% SDS (Bioshop Canada,
Catalog #SDS001.100). Proteins were transferred to 0.45 µM nitrocellulose membranes
(GE Healthcare Canada, Catalog #10600002) for 1 hour at 80V in transfer buffer (3.03 g/L
Tris-HCL, 14.4 g/L glycine, 200 mL/L methanol (Caledon, Catalog #6701-7-40)).
Membrane was then blocked with 5% BSA (Bioshop Canada, Catalog #ALB001.250) in
TBS-T containing 0.1% Tween (Bioshop Canada, Catalog #TWN510.500). All antibodies
used were also diluted in 5% BSA in TBS-T. Primary antibodies used were mouse anti-
HA 12CA5 (1:3000 dilution, Sigma Aldrich Canada, Catalog #11666606001), and anti-
Myc 9E10 (1:3000 dilution, Millipore Canada, Catalog #05-419), and secondary anti-
mouse antibody (GE-Healthcare Canada, Catalog #NA931) was used for 12CA5.
Membranes were washed 3 times with TBS-T for 15, 10 and 5 minutes after each antibody
probe After transfer, membranes were blocked for 4 hours in cold room on a shaker,
followed by overnight primary antibody probe. Membranes probed with 12CA5 anti-HA
were washed with TBS-T and probed with secondary anti-mouse for 1 hour. Membranes
were then washed with TBS-T, and, 1.5 mL ECL was applied to each membrane, and the
membranes were visualized under a Gel Doc™ XR+ System (Bio Rad Canada).
26
2.9 Data analysis
Confocal images were exported as TIFF files using Fluoview FV100 image viewer
software, and analysed using ImageJ and Excel. In ImageJ, TIFF files were imported and
the cytoplasm and PM fluorescent intensity of cells were quantified by using the Straight
Line function and Plot Profile function. The values were transferred to Excel, where the
average signal of both PM and cytoplasm were quantified, and the ratio was calculated
from the two averages.
Data from βLac and ELISA assays were analysed using Excel. The substrate time point
readings from each well were plotted and the slope of the linear regression was calculated.
The average slope from each condition triplicate was calculated, and represents the surface
expression of D2L. Rate of internalization was calculated by normalizing slope from drug
conditions to the corresponding vehicle condition. The resulting value was converted into
a percentage, and represents the change in D2L surface expression following drug
treatment.
Statistical analysis of every data was calculated with GraphPad Prism 6.0. For confocal
data, one-way ANOVA was performed followed by Tukey post-hoc test. For βLac and
ELISA data, two-way ANOVA was performed followed by Tukey post-hoc test. Data are
represented as mean +/- standard error of the mean. Significance of all data was taken at
p<0.05.
27
3. Results
3.1 Overview
To test our hypothesis, we began development of an assay to quantify D2L expression and
D2L trafficking following drug treatment. We tested both a qualitative and quantitative
approach, both of which have their pros and cons. After establishing a reproducible
quantitative assay for quantifying D2L internalization, we co-expressed the RGS9-2
complex and DHHC5 to quantify the possible effect of DHHC5 on RGS9-2 inhibition of
D2L internalization.
3.2 Confocal imaging of D2L localization and internalization in HEK cells.
3.2.1 PFA fixation protocol:
Our lab has previously used confocal imaging to quantify protein localization at the PM
and cytosol for various proteins, and thus we developed this method first to quantify D2L
localization in HEK cells after drug treatment. To visualize D2L expression and trafficking,
we transiently expressed D2L-YFP in HEK cells, and then treated with vehicle or 10 µM
DA treatment, fixed with 4% PFA for 5 minutes, and visualized YPF fluorescence under
confocal microscopy. At basal state D2L-YFP expressing cells displayed either PM only
D2L-YFP localization, or an even distribution between PM and in the cytosol under basal
conditions (Figure 4A). Very few D2L-YFP expressing cells displayed no PM expression.
30 min DA treatment did not induce a contrasting change in D2L-YFP distribution. We
observed more HEK cells with increased D2L-YFP expression in the cytosol, but this
increase was minimal. We did not observe an increase in HEK cells expressing only
cytosolic D2L-YFP. Quantification of fluorescence ratio between PM to cytosol showed
28
no detectable change in the PM/cytosol distribution of D2L-YFP following DA treatment
(Figure 4B).
As a control for this methodology, the fixation protocol was next tested on GFP-tagged M2
muscarinic receptor, another well characterized Class A internalizing receptor (97; 98). In
basal conditions GFP-M2 is highly expressed at the PM and cytosol (Figure 5A). 30 min
stimulation with 100 µM carbachol induced a visible change in receptor localization. We
observed decreased PM expression and increased cytosolic expression. Quantification of
PM to cytosol fluorescence ratio confirmed carbachol treatment induced a decrease in PM
expression and/or increase in cytosolic expression (Figure 5B).
3.2.2 Live cell protocol:
Imaging of another internalizing GPCR, GFP-M2 muscarinic receptor, display a robust
internalization in response to agonist treatment. This suggest D2L-YFP internalization rate
is perhaps much lower than GFP-M2, and is much more difficult to quantify objectively
due to the small range of internalization. Thus, we next developed a protocol that will
visualize D2L-YFP distribution in selected live HEK cells following drug treatment. We
selected a field of HEK cells transiently expressing D2L-YFP where the majority displayed
PM only distribution of D2L-YFP, so that any increase in cytosolic in D2L-YFP might be
easily detected. Following 10 µM DA treatment for 30 minutes, we did not observe any
contrasting change in D2L-YFP distribution (Figure 6A). In the HEK cells expressing
D2L-YFP only at the PM, we did not observe any expression of cytosolic D2L-YFP
following drug treatment. Overall in the field of 9-10 cells, only one or two cells displayed
an increase in cytosolic punctae and fluorescent intensity. Quantification of PM to cytosol
29
fluorescence ratio indicated there was indeed no change in D2L-YFP distribution following
10 µM DA treatment (Figure 6B).
3.3 βLac-tagged quantification of D2L surface expression and internalization
From the confocal experiments we concluded only a small percentage of transfected HEK
cells appear to display marked D2L-YFP internalization, and thus it may be challenging to
visualize and quantify these phenomena from capturing a limited field of cells. Therefore
we next turned to a whole plate quantitative assay in an attempt to quantify the surface
expression and internalization dynamics of a much larger pool of D2L expressing cell
populations. The basis of these assays is to quantify only the surface expressing D2L, and
by comparing surface expression between vehicle and drug treated conditions we can
calculate the change in surface expression as the rate of internalization. The βLac-β2R
assay described in Lam. et al 2013 utilizes the β-Lactamase enzyme tagged to the N-
terminal GPCR domain that is protruding from the PM as a reporter for receptor surface
expression (96). Cells seeded in microplates can be probed with nitrocefin, which is
hydrolyzed in the presence of βLac, and the absorbance of hydrolysed nitrocefin for each
well can be quantified and used as an indicator of surface receptor. The βLac assay reported
similar internalization rates for βLac-β2R drug induced internalization compared to
traditional assays including ELISA and flow cytometry. Also, in comparison βLac assay is
much more time and cost efficient than ELISA and flow cytometry, allowing us to test
more plates per day. Thus, we chose to develop D2L internalization with this protocol, as
it would be faster to troubleshoot and optimize.
30
3.3.1 Increasing doses of βLac-D2L plasmid did not generate a reproducible
internalization phenotype
When setting parameters for the assay, an important parameter we first optimized was the
amount of receptor plasmid transfected. Overloading βLac-D2L may cause improper
sorting to the PM and sequestration in the golgi, while low amounts of plasmids may result
in low overall expression compared to background. HEK cells were transfected with
increasing doses of βLac-D2L (0.25 µg/well, 0.5 µg/well, 1 µg/well) in 6 well plates at 60-
70% confluence. 6 hours after transfection each well was trypsinized and resuspended in 3
mL media, and the resuspension was divided evenly into 12 wells in a Poly-lysine treated
48 well plate. We observed an increase in baseline βLac-D2L surface expression with
increasing plasmid doses (Figure 7), and the increase in surface expression was greatest
between 0.5 and 1.0 µg/well doses (49% increase in expression). 0.25 µg/well did not
display any decrease in surface expression following a time dose treatment with 10 µM
QNP (Figure 8). 0.5 µg/well displayed inconsistent decrease in surface expression,
although the overall trend seems to show a decrease in surface expression with QNP. 1
µg/well was the most consistent condition and exhibited an average internalization rate of
~15%, although the decrease in surface expression following QNP treatment was not
significant for any time dose. This indicates that βLac-D2L internalization at 1 µg/well is
still too inconsistent, and thus when the rate of internalization is only ~15%, which is a
small decrease, this effect is not significant.
31
3.3.2 Increasing the loading of cells/well expressing βLac-D2L did not generate a
reproducible internalization phenotype
We next investigated whether the effect of HEK cell loading on βLac-D2L response to
QNP. We tested this because overloading plates may result in rapid depletion of the
nitrocefin substrate before the 30 minute readout, and also may alter HEK cell function.
On the other hand, at lower confluence we increase the risk of cell wash-off during drug
treatment and PBS washing. We transfected cells with 1 µg/well plasmid, which produced
the most consistent phenotype in previous experiments. After trypsinization and
resuspension, each condition was loaded at a different confluence in 48 well plates. We
tested conditions where cell confluence ranged from less than 50% (25,000 cells/well), to
over 100% (200,000 cells/well). We observed an incremental increase in βLac-D2L surface
expression as we increased cell loading in 48 well plates (Figure 9). High confluence
conditions (100 to 200 thousand/well) displayed more consistent internalization than low
confluence conditions (25 and 50 thousand/well), and the trend indicates that increasing
the confluence also increases the magnitude of βLac-D2L internalization (Figure 10). 10
µM QNP after 15 minutes induced the largest decrease in surface expression (20%) in 200
thousand/well conditions.
Lam et al 2013 previously used HEK cells stably expressing βLac-β2R in their proof-of-
concept paper demonstrating the utility of this assay (96). As a positive control for our
studies, we obtained these βLac-β2R stable HEK cells, and indeed we were able to replicate
the results described in Lam et al 2013 (Figure 11). From this we deduced a βLac-D2L
stable cell line may generate a more reproducible internalization phenotype. Thus we
generated a βLac-D2L stable HEK cell line, which we seeded at 100,000 cells/well in Poly-
32
L-Lysine coated 48 well plates. Disappointingly the stable cell line also did not show robust
or reproducible D2L internalization in response to 10 µM QNP treatment (Figure 12).
3.4 Development of ELISA assay to quantify D2L surface expression
Due to the inconsistencies of the previous assays, we next pursued another more traditional
quantitative method for receptor expression, cell-based ELISA. Previously Celver et al
2010 used a cell culture-based ELISA (Enzyme linked immunosorbent assay) protocol to
quantify D2L internalization, and displayed co-expression of RGS9-2 and Gβ5 greatly
decreased D2L internalization (56). In this protocol, GPCRs in microplates coated with
cells are tagged with an epitope at the N-terminal, which can be probed with specific
antibodies and quantified as a representation of receptor surface expression. We decided to
replicate this protocol in our lab by using the FLAG-D2L clone used in the protocol, and
after optimizing the assay we planned to verify the R7BP and DHHC5 effect on RGS9-2
mediated attenuation of FLAG-D2L internalization.
3.4.1 FLAG-DOR, but not FLAG-D2L, exhibits time dependent decrease in surface
expression after drug treatment in HEK201 cells under the ELISA protocol described
in Celver et al 2010.
We transfected HEK cells with FLAG-D2L in 6 well plates, and 6 hours after transfection
we seeded the cells in Poly-lysine treated white 48 well plates. More than 70% of HEK
cells washed off by the end of the ELISA washing. The loss of cells created two problems:
it decreased the signal of surface FLAG-D2L, and it created inconsistencies within
triplicates. At first, we determined that it may be because the HEK cells were not as
adherent as other cell lines used by other groups. To examine this possibility we switched
33
to CHO cells, which indeed remained adherent throughout the ELISA procedure, but
transfection/surface expression of D2L in CHO cells was very low, and we were unable
detect any surface signal higher than background (data not shown). Because we had already
shown good transfection/expression of D2L-YFP in HEK cells we looked for ways to
increase the adherence of these cells to the culture dish. . We switched to 24-well plates,
and plated HEK at >100% confluence when seeding. Specifically, during transfection we
resuspended cells at 600,000 cells/ml concentration in 15 ml conical tubes, and seeded at
300,000 cells/well in 24 well plates. This change decreased the loss of cells to <20%, and
decreased variability within triplicates. This also increased the signal ratio of surface D2L
to background, which was usually between 2 to 4, which is still far below the ratio reported
in Celver et al 2010, who reported at least 20 fold D2R to background ratio. However, we
did not observe consistent internalization of FLAG-D2L following drug treatment (Figure
13A).
As a control for the ELISA methodology, we also seeded HEK cells expressing FLAG-
tagged delta opioid (DOR) receptors, which had been shown previously by Celver et al.,
2010 to internalize but not be inhibited by RGS9-2 complex. FLAG-DOR expression was
roughly 6 fold of background signal, and produced a drug time dose dependent decrease in
surface expression (Figure 13B). 15-minute treatment with 10 µM DOR agonist DPDPE
([D-Pen2,5]Enkephalin, Sigma Aldrich Canada, Catalog #E3888) treatment decreased
DOR surface expression by 25%, and 60 minute stimulation extended the decrease to 50%.
Thus, we were able to reproduce the ELISA protocol for FLAG-DOR but not FLAG-D2L
in our HEK cell system. This suggests there is an inherent inconsistency in FLAG-D2L
internalization in HEK cells.
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3.5 ELISA protocol troubleshooting with HA-D2L-Rluc
βarr1/2 recruitment is an important step in receptor internalization, as it is required to
trigger the sequestration of the receptor in a clathrin-coated pit which internalizes into the
cytoplasm (31). We thus used a HA-D2L-Rluc tagged clone designed by the Salahpour
Lab that replaced the STOP codon with three arginines, which has been shown through
bioluminescence resonance energy transfer (BRET) assay to display increased receptor
palmitoylation and βarr2 recruitment (99). When expressed in HEK cells and probed with
anti-HA 12CA5 antibody, HA-D2L-Rluc displayed consistent decrease in surface
expression following treatment with 10 µM QNP, but the magnitude of decrease ranged
from 20% to 50%. We then observed the internalization in the same plate changes based
on OPD incubation time, by reading OPD absorbance at different time intervals without
stopping the reaction. To remove subjectivity and variability in the OPD readings, we
changed the OPD protocol to standardize the signal reading. Instead of an endpoint reading,
the OPD reaction was not stopped with HCl, and it’s 450 nm absorbance was read every
2.5 minutes for 6 time points. A known issue with OPD hydrolysis is that it may generate
absorbance hot spots in the well. Thus the plate was kept on a plate shaker at 400 rpm in
between readings to homogenize the OPD solution. Six readings were taken per plate, and
the slope of the plotted line for each well was calculated in Excel. This method produced
internalization rates ranging from 15 to 25%, and removed any subjectivity in the process.
35
Table 1. Changes made in HA-D2L-Rluc ELISA compared to FLAG-DOR ELISA
Old protocol New protocol Cells were transfected in 6 well plates and seeded in Poly-Lysine coated white 48 well plates 6 hours post-transfection
Cells were transfected in 6 well plates and seeded in Poly-Lysine coated clear 24 well plates 6 hours post-transfection
PBS, BSA washes, primary and secondary antibodies consisted of 500 µL/well volumes in 24 well plates.
The volume of PBS, BSA washes, primary and secondary antibody addition was decreased to 250 µL/well volumes in 24 well plates.
Final wash after secondary antibody consists of 5 times 500 µL/well PBS washes
Final wash after secondary antibody consists of two 5 min with 500 µL/well BSA, and one 5 min wash with 500 µL/well PBS
500 µL/well OPD was added to 24 well plates and incubated at room temperature between 10 to 30 minutes, and was stopped with 3N HCl after first sign of color saturation, and OPD absorbance was read once at 492 nm
500 µL/well OPD was added to 24 well plates and kept on a microplate shaker at 400 rpm. OPD absorbance was read at 450 nm every 2.5 minutes for 15 minutes, and the plate was kept on the shaker between reads
3.5.1 60 min 10 µM QNP treatment is the optimal drug condition for HA-D2L-Rluc
internalization
When developing the ELISA protocol HA-D2L-Rluc, we used only one drug dose and time
course (10 µM QNP for 60 min), and thus after establishing the ELISA protocol we
conducted a QNP time course and dose response with HA-D2L-Rluc to select the optimal
drug dose and time point. Results show that HA-D2L-Rluc displayed at least 20% decrease
in surface expression in all drug conditions (Figure 14). 1 µM QNP for 60 minutes
displayed a 50% decrease, as well as a time dependent decrease in surface expression.
However we observed more wash-off in the 1 µM QNP drug conditions, and thus the data
may be less reproducible than the other conditions. 10 µM QNP displayed the best overall
consistency within triplicates, and although the rate of internalization was not the greatest,
we believe this dose is the most consistent and reproducible condition.
36
3.5.2 1 µg/well of HA-D2L-Rluc is the optimal plasmid dose for D2L internalization
After establishing the drug dose and time point, we next optimized the amount of HA-D2L-
Rluc transfected in each well of a 6 well plate. The goal of this is to find the minimal dose
of HA-D2L-Rluc needed that still produces a consistent internalization rate, so that when
we co-transfect the RGS9-2 complex and DHHC5 it does not overwhelm the
transfection/expression capacity of the cell. Again we detected a proportional increase
between HA-D2L surface expression and plasmid dose. Results show that 1 µg/well, the
highest dose used, produced the highest internalization rate (25% decrease) (Figure 15),
while 0.5 µg/well displayed also displayed significant internalization albeit at a lower rate
(20%). 0.25 µg/well displayed 15% internalization, but this was not statistically significant.
Since we will need the dynamic range of drug-induced internalization to be as large as
possible for us to detect a DHHC5 effect in a co-transfection assay, we will need to use the
1 µg/well condition in subsequent experiments.
3.5.3 Coexpression of both GRK2 and βarr2 with 1 µg/well HA-D2L-Rluc further
increases the internalization rate.
A 25% decrease in D2L surface expression following 60 minute treatment with 10 µM
QNP is less than what is reported in the literature, and thus we tested whether it was because
of possible deficiencies in the internalization machinery in our HEK cells. Co-transfection
of GRK2 and βarr2, two important internalization machinery proteins, increased HA-D2L
internalization by 10% when both proteins were transfected at 0.5 µg/well each (Figure
16). Doubling the doses of GKR2 and βarr2, however, caused an unexpected decrease in
both basal D2L surface expression and we no longer observed internalization following
drug treatment. Expression of either GRK2 or βarr2 with 1 µg/well D2L did not induce any
37
significant change in D2L internalization rate. We thus opted to discontinue co-transfection
of GRK2 and βarr2 with HA-D2L, because the 10% increase in internalization rate did not
enough to offset the problem of plasmid overload, especially given that there will need to
be multiple additional plasmids added to test the effects of RGS9-2 complex and DHHC5
on D2R internalization.
3.5.4 Optimization of 4% PFA fixation to minimize potential HEK membrane
permeabilization.
One potentially confounding consequence of the 4% PFA fixation step in our ELISA
protocol is partial HEK membrane permeabilization, which might expose intracellular HA-
D2L to the extracellular antibody. To test the extent of permeablization with our current
fixation conditions, we did a time course and temperature dependent test with HEK cells
expressing intracellular HA-RGS9-2 (Figure 17). If the membrane was permeablized by
4% PFA, we would get increased OPD signal due to detection of HA-RGS9-2 by the
antibody. We normalized all conditions to HEK cells expressing Hisstrep empty vector.
Results show that 5 min fixation on ice induces minimal membrane permeablization
compared to control, while all other conditions induced at least two fold increase in OPD
signal.
3.6 RGS9-2 complex and DHHC5 co-transfection with HA-D2L in HEK cells display
a trend of decreased HA-D2L-Rluc internalization following QNP treatment.
Lastly, we tested the biologic activities of co-transfected RGS9-2 and DHHC5 on HA-
D2L-Rluc internalization using our optimized D2R internalization assay. Validation
through western blot, confocal imaging, and luciferase assay shows that HA-D2L-Rluc,
38
HA-RGS9-2, myc-Gβ5, GFP-R7BP, and HA-DHHC5 are all expressed in HEK when
transiently co-transfected (Figure 18, 19A). In addition, GFP-R7BP WT displays mainly
PM localization when co-expressed HA-DHHC5, while HA-DHHS5 co-expression shifts
GFP-R7BP WT localization partially to the nucleus (Figure 18B). GFP-R7BP SS is
completely localized in the nucleus. Following 60 min of 10 µM QNP treatment, we
observed a relative decrease in internalization when we co-expressed any combination of
RGS9-2 complex and DHHC5 (Figure 19B). More importantly only the condition with
control vector co-transfection yielded significant internalization (20%). However, when
we compared internalization rate between the various transfectants we were unable to
identify significant differences between them. Examination of the data indicates that
conditions where DHHC5 was co-transfected appeared to trend toward lower
internalization rate than those with DHHS5 co-transfected, however, more studies will be
needed to determine the biological significance of these observations.
39
Figure 4. Confocal imaging of D2L-YFP in HEK after drug treatment and fixed with 4% PFA Images were captured with Olympus Fluoview 1000 confocal microscope, excitation wavelength 515 nm, 60x oil magnification. Cells were incubated in 1X PBS during image capture. White arrows indicate HEK cells with significant aggregation of cytosolic D2L-YFP A. Imaging of 4% PFA fixed HEK cells transiently expressing D2L-YFP following treatment with 10 µM DA or vehicle for 30 min prior to fixation. B. Quantification of PM to cytosol fluorescent intensity ratio. YFP fluorescence intensity at the PM and cytosol was quantified using ImageJ and Excel. The fluorescence ratio of drug treatment condition was normalized to the vehicle condition. In each experiment, 30 cells were analysed for each condition and the mean PM/Cytosol ratio was determined. (n = 3; represents 3 different experiments carried out on separate data)
40
Figure 5. Confocal imaging of GFP-M2 in HEK after drug treatment and fixed with 4% PFA Images were captured with Olympus Fluoview 1000 confocal microscope, excitation wavelength 543 nm, 60x oil magnification. Cells were incubated in 1X PBS during image capture. A. Imaging of 4% PFA fixed HEK cells transiently expressing GFP-M2 treated with 100 µM carbachol. B. Quantification of PM to cytosol fluorescent intensity ratio as described above. (n = 1; represents pilot study to determine whether internalization can be detected for other receptors)
41
Figure 6. Confocal imaging of D2L-YFP localization in the same field of HEK cells following drug treatment Images were captured with Olympus Fluoview 1000 confocal microscope, excitation wavelength 515 nm, 60x oil magnification. Cells were incubated in 1X PBS during image capture. White arrows indicate HEK cells with significant aggregation of cytosolic D2L-YFP A. Imaging of live HEK cells transiently expressing D2L-YFP at basal state and after 30 minute treatment with 10 µM DA. Cells were incubated in serum free DMEM/F12 with HEPES during image capture. White arrows indicate the cell displaying an increase in cytosolic D2L-YFP B. Quantification of PM to cytosol fluorescent intensity ratio with ImageJ as described in Figure 4. (n = 2).
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Figure 7. Optimization of βlac-D2L plasmid dose for high βlac-D2L surface expression in HEK HEK cells were seeded in 6 well plates at 70% confluence, and transfected with 0.25, 0.5 or 1.0 µg/well. 6 hours after transfection, cells were seeded in clear 48-well plates. Each condition was seeded in triplicates. 24 hours after transfection, the wells were washed with PBS and probed with Nitrocefin. Plates were read at 1 min intervals for 30 minutes at 486 nm in an EPOCH spectrophotometer. Rate of nitrocefin hydrolysis was quantified in Excel by measuring the slope of each 30 minute nitrocefin curve in each well, and the average rate of each triplicate represents βLac-D2L surface expression. Nitrocefin signal from empty vector transfected HEK cells were subtracted from each βLac-D2L condition. Surface expression of receptor for all transfection conditions were normalized to the 0.25 µg/well condition for each day. Statistical analysis were performed in GraphPad 6.0 using one-way ANOVA and Tukey Post-hoc comparison test. * = p < 0.05. n=4, error bars = standard error.
43
Figure 8. Optimization of βLac-D2L plasmid dose for 10 µM QNP induced internalization of βLac-D2L in HEK HEK cells were transfected and seeded in 48 well plates as described in the figure above. 24 hours after transfection, cells were treated with either vehicle or 10 µM QNP for 15, 30 or 60 minutes. After drug treatment, drug was washed off with 3 times PBS wash on ice, and the plate was probed with Nitrocefin. βLac-D2L surface expression was quantified as described in the figure above. Surface expression of βLac-D2L in HEK cell are normalized to vehicle (dashed line), following drug treatment. Each transfection condition following drug treatment was normalized to a corresponding vehicle condition with the same transfection condition (n = 4). Statistical analysis were performed in GraphPad 6.0 using one-way ANOVA and Tukey Post-hoc comparison test. * = p < 0.05. n=4, error bars = standard error.
44
Figure 9. Optimization of cell loading dose for high surface expression of βLac-D2L in HEK HEK cells were seeded in 6 well plates at 70% confluence, and transfected with 1 µg/well βLac-D2L. 6 hours after transfection, cells were trypsinized, resuspended and seeded in clear 48-well plates at varying doses (25, 50, 100, 200 thousand cells/well). Each condition was seeded in triplicates. 18 hours after seeding, the wells were washed with PBS and probed with Nitrocefin. Plates were read at 1 min intervals for 30 minutes at 486 nm in an EPOCH spectrophotometer. βLac-D2L surface expression was quantified as described in the Figure 7. Statistical analysis were performed in GraphPad 6.0 using one-way ANOVA and Tukey Post-hoc comparison test. * = p < 0.05. n=5, error bars = standard error.
45
Figure 10. Optimization of cell loading dose for 10 µM QNP induced internalization of βLac-D2L in HEK HEK cells were transfected and seeded in 48 well plates as described in the figure above. 24 hours after transfection, cells were treated with either vehicle or 10 µM QNP for 15, 30 or 60 minutes. After drug treatment, drug was washed off with 3 times PBS wash on ice, and the plate was probed with Nitrocefin. βLac-D2L surface expression was quantified as described in the figure above. Surface expression of βLac-D2L in HEK cell are normalized to vehicle (dashed line), following drug treatment. Each transfection condition following drug treatment was normalized to a corresponding vehicle condition with the same transfection condition (n = 4). Statistical analysis were performed in GraphPad 6.0 using one-way ANOVA and Tukey Post-hoc comparison test. * = p < 0.05. n=5, error bars = standard error.
46
Figure 11. 10 µM Isoprotenerol induced internalization of βLac-β2R in HEK HEK cells were seeded in 6 well plates at 70% confluence, and transfected with 1 µg/well βLac-β2R. 6 hours after transfection, cells were trypsinized, resuspended and seeded in clear 48-well plates at 50 thousand cells/well. 24 hours after transfection, cells were treated with either vehicle or 10 µM Isoprotenerol for 30 minutes. After drug treatment, drug was washed off with 3 times PBS wash on ice, and the plate was probed with Nitrocefin. Plates were read at 1 min intervals for 30 minutes at 486 nm in an EPOCH spectrophotometer. βLac-β2R surface expression was quantified as described in the Figure 7. (n=1)
47
Figure 12. Comparison of 10 µM QNP induced βLac-D2L internalization in HEK cells stably and transiently expressing βlac-D2L HEK cells stably expressing βlac-D2L or transiently expressing 1 µg/well βlac-D2L were seeded in 48 well plates at 200 thousand cells as described in Figure 7. 18 hours after transfection, cells were treated with either vehicle or 10 µM QNP for 15, 30 or 60 minutes. After drug treatment, drug was washed off with 3 times PBS wash on ice, and the plate was probed with Nitrocefin. βLac-D2L surface expression was quantified as described in the Figure 7. Surface expression of βLac-D2L in HEK cell are normalized to vehicle (dashed line), following drug treatment. Each transfection condition following drug treatment was normalized to a corresponding vehicle condition with the same transfection condition. (n=1)
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Figure 13. ELISA quantification of FLAG-D2L and FLAG-DOR surface expression in HEK following drug treatment. HEK cells were cultured in 6 well plates until 70% confluent. Cells were then transfected with 1 µg/well FLAG-D2L or FLAG-DOR using X-tremeGene. 6 hours after transfection, the cells in each transfection condition were trypsinized and seeded in clear 24 well plates at 300,000 cells/well, 24 hours after transfection the cells were given drug. FLAG-D2L and FLAG-DOR cell surface signal were probed with HRP-conjugated anti-FLAG antibody, followed by probing with HRP substrate OPD. Once OPD reached color saturation in a triplicate, the reaction was stopped with 3N HCl, and OPD absorbance at 492 nm was quantified using the EPOCH spectrophotometer. Background OPD signal from empty vector transfected HEK cells was subtracted from each condition. . Surface expression of (A) FLAG-D2L and (B) FLAG-DOR in HEK cell were normalized to vehicle (dashed line), following treatment with receptor agonist in 24 well plates. A. FLAG-D2L surface expression in HEK cells following 10 µM QNP treatment (n = 3) B. FLAG-DOR surface expression in HEK201 cells following 10 µM DPDPE encephalin treatment (n = 1)
49
50
Figure 14. Optimization of QNP concentration and time point in agonist induced HA-D2L-Rluc internalization in HEK 24 well plate containing HEK cells transiently expressing HA-D2L-Rluc were prepared as described in Figure 13. HA-D2L was probed with anti-HA 12CA5 primary antibody, then with anti-mouse secondary antibody. Immediately after OPD addition, the plate was read at 450 nm in 2.5 min intervals for 15 minutes in the EPOCH microplate spectrophotometer. The plate was kept on a shaker at 450 rpm in between each reading. Background OPD signal from empty vector transfected HEK201 cells was subtracted from each condition. Surface expression of HA-D2L-Rluc in HEK cell normalized to vehicle (dashed line), following treatment with QNP in 24 well plates. (n=1)
51
Figure 15. Optimization of HA-D2L-Rluc plasmid dose in 10 µM QNP induced HA-D2L-Rluc internalization in HEK cells. 24 well plate containing HEK cells transiently expressing varying doses of HA-D2L-Rluc (0.25, 0.5 and 1 µg/well in a 6 well plate) were prepared as described in Figure 13. The plate was treated with 10 µM QNP for 60 minutes, and HA-D2L-Rluc surface signal was quantified as described in Figure 14. Each plasmid condition following drug treatment was normalized to a corresponding vehicle condition with the same plasmid condition. Results were analysed with two-way ANOVA followed by Tukey’s post-hoc test for multiple comparisons, p<0.05. * = significant difference from vehicle (n = 3).
52
Figure 16. Optimization of 10 µM QNP HA-D2L-Rluc internalization rate in HEK with transient co-expression of transient GRK2 and βarr2. 24 well plate containing HEK cells transiently expressing varying doses of HA-D2L-Rluc (0.25, 0.5 and 1 µg/well) were prepared as described in Figure 13. The plate was treated with 10 µM QNP for 60 minutes, and HA-D2L-Rluc surface signal was quantified as described in Figure 14. Each plasmid condition following drug treatment was normalized to a corresponding vehicle condition with the same plasmid condition. Results were analysed with two-way ANOVA followed by Tukey’s post-hoc test for multiple comparisons, p<0.05. * = significant difference from vehicle (n = 3).
53
Figure 17. Optimization of 4% PFA fixation in potential permeablization of HEK cells. 24 well plate containing HEK cells transiently expressing 1 µg/well HA-RGS9-2 were prepared as described in Figure 13. 24 hours after transfection, the plate was washed one ice with PBS, and treated with 4% PFA at room temperature or on ice (5, 10 or 15 minutes). Following fixation, the plate was washed three times with PBS and probed with 12CA5 anti-HA antibody. HA-RGS9-2 signal was quantified as described in Figure 14, and was normalized to 5 min on ice PFA fixation. (n=1)
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Figure 18. Validation of transient transfection of HA-RGS9-2, myc-Gβ5, GFP-R7BP, and HA-DHHC5 in HEK cells. HEK cells were seeded in 6 well plates at 60-70% confluence, and each well was transfected with 225 mL Opti-MEM, 3.75 µL X-tremeGene, and 3 µg of plasmids. 24 hours after transfection, each well was imaged with a Yokogawa Spinning Disk confocal microscope. After imaging, each well was lysed with SDS lysis buffer, and proteins were analysed on a western blot. A. Western blot detection of HA-RGS9-2, HA-DHHC5, HA-DHS5, and myc-Gβ5. Samples were run on an 8% acrylamide gel for 30 minutes at 90 V, and then 2 hours at 120 V. The membrane was separated into half at the 48 ladder mark, and blotted for HA and myc tags. DHHC5 and DHHS5 appear at 90 kDA mark. RGS9-2 appears at the 75 kDA mark. Gβ5 appears at the 40 kDA mark. B. Confocal imaging of GFP-R7BP WT/SS from the same group of cells used for western blot in Figure 18A. Transfection conditions: WT/SS + D5/S5 (1 µg/well D2L + 0.5 µg/well RGS9-2 + 0.5 µg/well Gβ5 + 0.5 µg/well R7BP WT/SS + 0.5 µg/well DHHC5/DHHS5). Images were capture at 488 nm using 10X objective lens. (n=1)
55
56
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Figure 19. ELISA assay quantification of DHHC5 activity in mediating RGS9-2 inhibition of HA-D2L-Rluc internalization 24 well plate containing HEK cells transiently expressing varying combinations of HA-D2L-Rluc, RGS9-2 complex and DHHC5 were prepared as described in Figure 13. The plate was treated with 10 µM QNP for 60 minutes, and HA-D2L-Rluc surface signal was quantified as described in Figure 14. Each transfection condition contains 3 µg/well plasmids. Conditions: D2L (1 µg/well D2L + 2 µg/well Hisstrep) RGS9-2/Gβ5 (1 µg/well D2L + 0.5 µg/well RGS9-2 + 0.5 µg/well Gβ5 + 1 µg/well Hisstrep) R7BP WT/SS (1 µg/well D2L + 0.5 µg/well RGS9-2 + 0.5 µg/well Gβ5 + 0.5 µg/well R7BP WT/SS + 0.5 µg/well Hisstrep) WT/SS + D5/S5 (1 µg/well D2L + 0.5 µg/well RGS9-2 + 0.5 µg/well Gβ5 + 0.5 µg/well R7BP WT/SS + 0.5 µg/well DHHC5/DHHS5). A. HEK cells with transient transfection of each condition were seeded in white 96 well plates and probed with RLuc substrate H-Coelenterazine. After quantification of RLuc signal results were normalized to RLuc signal in transfection condition “D2L”. B. HEK cells transiently transfected with each condition were seeded in 24 plates and treated with 10 µM QNP for 60 minutes. Surface HA-D2L signal was probed with anti-HA 12CA5 and secondary anti-mouse, and HRP substrate OPD was added to each well after washing and absorbance was read at 450 nm. Results were analysed with two-way ANOVA followed by Tukey’s post-hoc test for multiple comparisons, p<0.05. * = significant difference from vehicle (n = 7).
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4. Discussion
4.1 Overview
DHHC5 has been shown to palmitoylate and promote PM association of various neural
proteins (87; 89; 90; 91). DHHC5 itself is also highly PM-associated, unlike other DHHC
proteins expressed mostly at the Golgi/ER and cytosol. One target for DHHC5
palmitoylation, R7BP, is an anchor protein that facilitates RGS9-2 GAP activity towards
Gi/o coupled receptors at the PM. This suggests DHHC5 can potentiate RGS9-2 GAP
activity by regulating a component of the RGS9-2 complex. RGS9-2 is a negative regulator
of D2L signalling, and studies have shown D2R internalization is inhibited with RGS9-2
complex co-expression (56; 100; 101). For this thesis, we have developed an ELISA
functional assay to quantify drug induced D2L internalization in HEK cells, and used this
assay to investigate the DHHC5 effect on RGS9-2 mediated inhibition of D2L
internalization. However, the relatively poor internalization of D2R together with an
intrinsically high variability of the internalization assay prevented conclusive investigation
of the roles of RGS9-2, R7BP and DHHC5 in the regulation of D2L signalling.
4.2 Confocal imaging of D2L-YFP was not optimal for quantifying D2L
internalization.
We first pursued a microscopic approach, and developed a confocal assay in attempt to
visualize D2R surface expression in HEK cells. Studies have shown through fluorescent
imaging of both live cells and fixed cells that D2Rs exhibit robust internalization (~50%
decrease in surface expression) following treatment with both DA and QNP (102; 103;
104). HEK cells transiently expressing D2L-YFP were 4% PFA fixed and imaged with
59
confocal microscope following QNP treatment. We expected to detect both an increase in
cytosolic punctae and decrease in PM fluorescence, as QNP has been show to induce D2L
internalization. However, we did not see a clear and reproducible change in D2L-YFP
expression pattern following drug treatment. These data were surprising and were in
contrast to what is reported in the literature (101; 105), as well as the results we observe in
the same culture/expression system for M2-GFP internalization, where the phenotype is
much more reproducible. We reasoned that one possible reason why D2L-YFP may not
show robust internalization dynamics is because of the position of the C-terminal YFP
attachment. Perhaps this fusion obstructs GRK phosphorylation of the D2R, subsequent
βarr2 binding, and receptor sequestration into clathrin pits. GFP-M2 is tagged at the N-
terminal, consistent with the notion that the placement of YFP may contribute to the lack
of internalization for D2R-YFP. Although future studies might benefit from an N-terminal
YFP-tagged D2L, for the reasons outlined below we instead pursued a more quantitative
approach and developed quantitative assays for receptor internalization that had been
previously tested and validated for D2R.
4.2.1 Limitations
We have identified potential issues with confocal imaging as a functional quantitative assay
for D2L internalization. D2L-YFP is expressed both at the PM and cytosol in both vehicle
and drug conditions, which created difficulty in setting parameters for cell selection and
analysis. Without a clear definitive parameter, this assay quantification method displayed
a high degree of variability owing to the diversity of the cell phenotypes observed. The
technique is also limited by the time and expense of collecting data with relatively small
numbers of transfected cells per field. Accordingly we next pursued and developed a D2L
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internalization assay that would allow us to quantify D2L surface expression from large
numbers of transfected cells – the βLac reporter assay and ELISA assay methods.
4.3 βLac-D2L displayed inconsistent internalization, and thus the βLac assay is not
viable for quantifying D2L internalization.
The βLac mediated receptor internalization assay is a time and cost efficient method that
removes the need for intermediate probes. This technique has been shown to be as effective
as ELISA and flow cytometry for quantifying β2 adrenergic receptor surface expression in
HEK cells (96), and was able to reproduce the same results with βLac-β2R. With βLac-
D2L, we expected a similar rate of internalization following QNP treatment, as both
receptors require GRK and βarr1/2 recruitment for clathrin mediated internalization. An
important decision we made was to use transient expression of βlac-D2L, unlike the stable
expression of βLac-β2R. This is because when we test DHHC5 regulation of D2L
internalization, we will be transiently expressing four clones (RGS9-2, Gβ5, R7BP &
DHHC5), and it is important that the βLac-D2L expressing cells we quantify also express
all other four clones, so that any changes in internalization rate can be attributed to the
expression of all four clones. In transient transfection, one can infer that cells expressing
βLac-D2L is likely to also express the other four clones, and cells not expressing βLac-
D2L will not be expressing the other clones as well. Transfection efficiency in our HEK
cells with X-tremeGene is generally ~20%, and thus we expect all 20% of cells transfected
with βLac-D2L will likely also express the other clones. In βLac-D2L stable cells, the
phenotype of the ~20% transiently expressed RGS9-2 complex and DHHC may be
61
drowned out by the other 80% non-transfected cells. Thus, we opted for transient
transfection of all clones.
βLac-D2L did not display the same magnitude of internalization displayed by βLac-β2R,
and more importantly showed a high degree of inconsistency in response to QNP treatment
from one day to the next despite using an identical protocol. Neither changing the number
of cells/plate nor the dose of βLac-D2L plasmid produced a consistent internalization
phenotype, although transfecting 1 µg/well of βLac-D2L and loading at near 100%
confluence (100,000 cells/well) produced the most promising trend. Thus, to address the
consistency issue we generated βLac-D2L stably expressing HEK cells. Disappointingly,
the stable cell line did not display any further decrease in surface expression after QNP
treatment. In fact, they presented an almost identical phenotype to the transiently expressed
βLac-D2L in the same plate.
4.3.1 Limitations
The biggest potential limitation of the βLac assay is that the βLac enzyme may effect
receptor function for specific receptors. In our hands, β2AR exhibits robust internalization,
but βLac-D2L does not. There may be several explanations why the βLac assay does not
display consistent, large magnitude (50%) βLac-D2L internalization. First, the βLac
enzyme is a large protein greater than 30 kDa, and it may obstruct the ligand binding region
of D2L. Also, the large enzyme may interfere with βarr2 mediated internalization of D2L
by preventing D2L sequestration into clathrin pits.
Alternatively, it is possible the lack of βLac-D2L internalization stems from an
incompatibility between D2L and our HEK cells model, particularly since βLac does not
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obstruct β2AR internalization in these same cells. Thus in the future it may be important
to test βLac-D2L in other cell types such as CHO cells and PC12 cells.
4.4 FLAG-D2L shows inconsistent internalization compared to FLAG-DOR
The next assay we pursued was the cell-based ELISA assay, which detects surface epitopes
attached to receptors at the PM. In this case the receptor tag examined by ELISA was the
much smaller FLAG epitope and thus was less likely to cause steric hindrance of ligand
binding or receptor internalization. ELISA has been a popular method for quantifying
surface receptors, and has been shown to be effective in quantifying D2R internalization
by many groups (56; 106; 107; 108). We attempted to reproduce the protocol described in
Celver et al 2010 using their FLAG-D2L, but several issues occurred. Firstly, using a 96
well plate loaded with 10,000 cells/well lead to significant cell wash-off by the end of the
secondary antibody probing. This caused problems including low signal, loss of
background signal, and inconsistent signals within triplicates. This was not an issue in βLac
assays, where only three washes in total were needed before plate reader quantification.
Thus, the wells had to be overloaded with cells, and the wells themselves had to become
larger, which decreased the level of wash-off. We modified our protocol afterwards mainly
after what is reported by Thibault et al 2011 (109). After switching to clear 24 well plates,
we tested the new protocol with FLAG-D2L, but still faced low basal surface expression
and an inconsistent internalization phenotype. Our FLAG-D2L surface expression was at
most 4 times higher than background signal, which is much lower than what is reported by
Celver et al 2010 (20 times background). We concluded that FLAG-D2L behaves
differently in our HEK cells compared to the Kovoor lab, and thus we compared it to
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FLAG-DOR, another clone we obtained from the Kovoor lab which reported similar robust
internalization in their ELISA assay. DOR is also a clathrin-mediated internalizing GPCR
which requires βarr1/2 and GRK recruitment. Through FLAG-DOR we hoped to identify
whether our cell line, our assay, and/or the FLAG-D2L clone is the issue. FLAG-DOR
displayed a time dependent internalization following a drug time-course with DOR agonist
DPDPE in the same HEK cells under the same ELISA protocol. This result showed that
the ELISA protocol and the HEK cells are viable for quantifying GPCR internalization,
and the consistency and small magnitude issues we observed must originate from the
plasmid itself, or the drug preparation.
4.4.1 Limitations
The FLAG-D2L ELISA assay displayed inconsistencies in D2L internalization. This
prevents this assay from being a viable functional assay for quantifying DHHC5 function,
as we need a consistent internalization phenotype to assess RGS9-2 GAP activity. Perhaps
the HEK system we are using does not have the optimal expression of internalization
machinery to facilitate FLAG-D2L internalization consistently. A different HEK strain or
cell type may generate more consistent FLAG-D2L internalization. Also, alternatively
modifying the FLAG-D2L clone to facilitate FLAG-D2L phosphorylation and βarr1/2
recruitment may stabilize the internalization phenotype.
4.5 HA-D2L-RLuc displays consistent internalization in HEK cells.
We next switched to HA-D2L-Rluc, a D2 clone with the STOP codon replaced with triple
arginine to facilitate phosphorylation and βarr1/2 recruitment. Preliminary results showed
similar levels of basal surface expression as FLAG-D2L, and HA-D2L-Rluc displayed
64
consistent internalization, ranging from a 20 to 50% decrease in surface expression
following drug treatment. After modifying the OPD reading protocol we obtained an
internalization range between 15 and 30% for each experiment. Thibault et al 2011 also
reported roughly 20% internalization rate with transient D2L in HEK cells after 60 min
treatment with 10 µM QNP (109). We hypothesize the improved ability of this plasmid to
recruit βarr1/2 is the main reason that we now have a reproducible D2 internalization
protocol. This suggests perhaps the HEK cells used in Celver et al 2010 expressed a robust
amount of endogenous GRK and βarr1/2, which facilitated internalization of FLAG-D2L,
and our HEK cells either express low amounts of endogenous GRK and βarr1/2, or that
transient transfection disrupts proper transcription and translation of these proteins. Our
D2R internalization rate is comparable to what was reported by Thibault et al 2011, as well
as other studies which utilized cell surface labelling assays (100; 101; 109). We were
unable to reproduce the magnitude of D2L internalization reported by Celver et al 2010
(56). Kim et al 2004 reported βarr2 co-transfection increased D2R internalization rate by
15%. We thus co-transfected GRK2 and/or βarr2 and observed a 10% increase in HA-D2L-
Rluc internalization when both clones were co-transfected, suggesting we need to obtain a
HEK cell population that expresses high levels of endogenous GRK and βarr1/2. We
decided for future experiments to not co-express any combination of GRK2 or βarr2, as
this would increase the number of co-expressed plasmids from 5 to 7, a trade off that is too
much for only a slight increase in internalization.
65
4.6 RGS9-2 complex and DHHC5 co-transfection display a trend of decreased HA-
D2L-Rluc internalization
Celver et al 2010 reported a We co-transfected the RGS9-2/Gβ5/R7BP complex and
DHHC5 with HA-D2L-Rluc in HEK cells, and quantified surface expression following 60
min 10 µM QNP treatment. Confocal imaging of GFP-R7BP WT shows that DHH5 co-
expression increases R7BP PM localization, similar to the data reported by Dr. Bastin
(Figure 3), while dominant negative mutant DHHS5 resulted in nuclear localization,
although not to the same extent as previously reported by Dr. Bastin. This may be due to
the expression of other DHHC proteins in the HEK used in these experiments that were not
present in the HEK used by Dr. Bastin. These DHHC proteins can facilitate R7BP PM
localization in the absence of DHHC5. We expected co-transfection of RGS9-2/Gβ5 to
decrease HA-D2L-Rluc internalization, and this is what we observed. In fact, all conditions
involving co-transfections of the RGS9-2 complex displayed a decrease in HA-D2L-Rluc
internalization and only HA-D2L-Rluc co-transfected with Hisstrep displayed statistically
significant internalization (20%, p<0.05). When comparing trends, R7BP WT co-
transfection displayed a smaller internalization rate than R7BP SS, which is what we expect
when we mutate the shuttling component of the RGS9-2 complex. DHHC5 co-transfection
displayed a smaller internalization rate than DHHS5 mutant in both conditions co-
transfected with R7BP WT or SS. We expected DHHC5 to exhibit this phenotype in R7BP
WT, as the lack of R7BP palmitoylation by DHHS5 will lead to R7BP nuclear localization
and prevent proper facilitation of RGS9-2 GAP activity. We were surprised to see a
difference between DHHC5 and DHHS5 when co-transfected with R7BP SS, as we have
essentially already mutated the RGS9-2 complex and mutation of DHHC5 should not have
66
any further effect on RGS9-2 GAP activity. We think perhaps DHHC5 is exerting a direct
effect on D2L trafficking, as DHHC5 is at the PM and DHHC proteins have been shown
previously to palmitoylate GPCRs to mediate its interaction with GRK (82). We also
observed increased inconsistencies within conditions with more than 3 plasmids co-
transfected. A possible solution to this consistency issue begun constructing a polycistronic
vector that will contain RGS9-2, Gβ5, R7BP, and DHHC5. This will decrease the number
of plasmids down to two, and our results show that when three or less plasmids are co-
expressed the variability within triplicates decrease. Also, it will guarantee that all four
clones will be expressed in the same cell, as all four clones will share one promoter site.
4.6.1 Limitations:
The major limitations of our ELISA protocol is that we have no validation method to
visualize all 5 plasmids in the same cell while quantifying D2L internalization. Even
though we used western blot and confocal to validate all 5 plasmids can be co-expressed
in HEK, in the ELISA assay we can only infer that any change in D2L internalization was
caused by all 4 plasmids that were co-transfected. Our assay is based on the premise that if
one plasmid is transfected, the other four plasmids will also be transfected. In addition, we
currently have no method of directly validating RGS9-2 is trafficking to the PM. Our
transient D2L ELISA also suffers from a small dynamic range of internalization, and this
drawback makes it difficult to statistically differentiate between the effects of DHHC5 and
RGS9-2 overexpression on D2L internalization relative to D2L basal internalization. In the
future we will generate a polycistronic clone containing all plasmids aside from D2L, that
way we decrease the variability in co-expression. We will also pursue D2L stable protocols
with these polycistronic vectors, and troubleshoot to increase the transfection efficiency in
67
HEK cells so that the RGS9-2/DHHC5 effect is not drowned out by basal D2L
internalization.
4.7 Conclusions and main findings of this work:
We have endeavoured to develop a robust D2R functional assay using a variety of methods
including: confocal, βLac reporter and cell culture based ELISA assay. In the confocal
studies, a surprisingly small percentage of D2L-YFP expressing HEK cells exhibited
internalization, leading us to conclude that quantifying D2R trafficking would be difficult
with this method. Likewise, the βLac reporter assay did not show reproducible
internalization, suggesting that altering the N-terminal extracellular domain of the D2R
with the addition of a large enzymatic reporter may have deleterious consequences with
respect to agonist binding and internalization. The most successful efforts were in the
development of an ELISA assay to measure surface expression of an epitope-tagged D2R.
Notably, it was not until we used modified D2R receptor (HA-D2L-Rluc) containing a
string of three arginine residues in its carboxyl terminal domain between the receptor and
luciferase enzyme, that we could demonstrate reproducible internalization of D2R. The
arginine string was previously shown to increase receptor palmitoylation and β-arrestin
recruitment suggesting that the wild type receptor may not be interacting optimally with
the endogenous HEK internalization machinery in our system. Indeed, overexpression of
β-arrestin2 and GRK2 increased the level of internalization to the ~ 35% level, the best
dynamic range we were able to achieve for any protocol. Notably, however, this level is
still well below the ~50% reported in the literature. These findings indicate the possibility
that the rate of D2R internalization may vary depending on the strain of HEK cells used
68
for the study. One possible explanation for such results may be the level of endogenous
GRK6 expressed in the different HEK cell lines since GRK6 has been shown to be an
important modulator of D2R surface expression in other experimental models (110; 111).
From these studies, it seems likely that D2R internalization may behave very inconsistently
in different HEK cell models. Thus, in the future, studies that aim to use other surrogate
measures of D2R activity should also be explored. For example receptor activity assays
measuring GIRK activation, Gi-mediated inhibition of adenylyl cyclase activity, or direct
quantification of Gi activation (separation from activated heterotrimeric complexes) via
BRET may provide more viable approaches. Lastly, due to the inherent inconsistencies of
this assay, we were not able to conclusively verify the DHHC5 effect on RGS9-2 and R7BP
mediated inhibition of D2L, but the trends encouragingly confirm what was shown by
Celver et al 2010, that RGS9-2-Gβ5 decrease D2R internalization.
4.8 Future directions:
4.8.1 Improving the D2L internalization assay
Multi-plasmid co-transfection in HEK cells have been shown to become inconsistent once
the number of plasmids exceeds three. In future D2L experiments, aside from D2L that
could be either transiently or stably expressed, the RGS9-2 complex and DHHC5 enzyme
should be reconstructed into a single polycistronic vector that contains all these plasmids.
In transient D2L assays, this will decrease the transfection variability, and in stable cells
this will guarantee that all transfected cells will express all four plasmids.
To increase the rate of D2L internalization, generating a D2L stable cell line is a viable
option. Some studies where D2L was stably expressed report a 50% decrease in surface
69
expression after treatment with DA and QNP (102; 112). Attempts in this lab to generate a
polyclonal HA-D2L-Rluc stable HEK cells failed to produce a colony that expressed
appreciable levels of HA-D2L-Rluc, as detected in the RLuc assay. In the future, if we can
generate a HA-D2L-Rluc expressing stable cell line, it would worthwhile to test DHHC5
palmitoylation effect on RGS9-2 GAP activity using polycistronic vectors.
Another method would be to gather more samples of HEK cells from different labs,
especially papers that claim a 50% internalization rate for transient D2L expressing HEK
cells, with the goal to find a HEK population that produces a D2L internalization rate closer
to 50%.
We could also pursue alternate cell types for investigating D2L internalization. In this
thesis we have already pursued two cell types, both of which failed to produce D2L surface
expression and internalization. CHO cells have been shown to express D2R and D2R
internalization. When we worked with them, we found that CHO cells were much more
adherent than HEK cells, and we did not observe significant wash-off during the entire
ELISA protocol. However, our transfection protocol did not work on our CHO cells. Thus
we did not further pursue this pathway, as we eventually were able to obtain consistent
internalization with HEK cells. It is also unsure whether transient D2L in CHO cells will
generate a larger dynamic range of internalization compared to D2L in our HEK cells.
However, we could pursue this cell line because the adherence of CHO cells may mean we
can use 48 or even 96 well plates instead of 24 well plates, making the ELISA assay much
more high-throughput.
PC12 cells were also pursued as an alternate to HEK cells, in an effort to find a controlled
environment that best mimics the endogenous tissue of D2L. Undifferentiated PC12 cells
70
mimic neural cells, and studies on MOR expression and internalization has been conducted
in PC12 (64). Transfection of both D2L-YFP and GFP-M2 in PC12 cells yielded very poor
transfection efficiency, with less than ~5% cells transfected. ELISA with D2L transient
PC12 cells also yielded very poor expression. Thus, we did not further pursue this cell type.
In the future it would be of interest to pursue this cell type as it is a neural-like cell type
that may provide a more endogenous environment for RGS9-2 – DHHC5 – D2L
interactions.
4.8.2 Alternate assays for quantifying D2L activity and RGS9-2 activity
RGS9-2 can potentially inhibit other aspects of D2L activity, as studies have shown that
D2L stimulation activates Gi/o mediated pathways such as inhibition of cAMP production
by AC, and Gβγ mediated pathways such as GIRK channel activation (113). If we cannot
produce an internalization protocol with an increased dynamic range for testing DHHC5
mediated RGS9-2 GAP activity, we can pursue other functional assays that quantify these
signalling pathways, such as whole-cell patch clamping to quantify GIRK activation, and
cAMP assays to quantify cAMP production.
Indeed, studies investigating RGS9-2 GAP activity and R7BP function have utilized these
alternative functional assays. R7BP has been shown to accelerate the activation and
deactivation kinetics of GIRK channels by Gβγ, and inhibition of R7BP palmitate turnover
leads to decreased interaction between R7BP and RGS9-2/Gβ5 as well as delayed GIRK
channel closing (79; 114). It would be worthwhile to establish a protocol to test whether
DHHC5 can increase GIRK channel closing in the presence of RGS9-2/Gβ5 and R7BP.
71
The direct signalling pathway of D2R-Gi/o is inhibition of cAMP production by AC5. Thus
a cAMP assay to quantify cAMP production is another viable functional assay to analyse
RGS9-2 GAP activity, and in turn observe DHHC5 mediated RGS9-2 activity.
Specifically, we will quantify inhibition of forskolin mediated cAMP production following
D2L stimulation with QNP (99). RGS9-2 has already been characterized as a regulator of
AC5 activity in striatal neurons, and was the most prominent inhibitor of AC activity and
cAMP production among all R7 RGS proteins (115). It would be worthwhile to investigate
whether DHHC5 co-expression will increase RGS9-2 inhibition of AC5 activity.
Aside from D2R, RGS9-2 also displays GAP activity to MOR, and studies have shown that
morphine treatment has a greater stimulatory and analgesic effect on RGS9-2 KO mice.
One group has shown that RGS9-2 co-expression inhibits DAMGO mediated MOR
internalization in PC12 cells (64). Thus. MOR internalization could be another functional
assay for quantifying DHHC5 modulation of RGS9-2 GAP activity. We have attempted to
express rat myc-MOR in HEK cells using X-tremeGene, but we could not detect any MOR
surface expression using the old protocol. We can re-attempt to express myc-MOR in our
HEK cells and see if we can detect surface expression and internalization.
Lastly, the BRET assay, which is used to detect interaction between two proteins, can be
used to quantify MOR activation through detecting dissociation of Gβγ from Gα after MOR
activation. A recent study has used the PM bound GRK3-Cterminal-RLuc as a reporter for
the amount of free Gβγ-Venus released after MOR agonist stimulation (71). The BRET
assay was able to detect an increase in Gβγ-Venus release upon morphine treatment, and
then a decrease in Gβγ-Venus signal baseline after subsequent antagonist Naxalone
treatment. Co-expression of chemically PM bound RGS9-2–Gβ5 increased the deactivation
72
rate of MOR after Naxalone treatment compared to control. This makes BRET another
viable assay for quantifying DHHC5 mediated RGS9-2 GAP activity. In the same assay,
we can co-express R7BP and DHHC5 with RGS9-2–Gβ5, and quantify the change in MOR
deactivation. We can also apply this BRET technique to D2L activation and deactivation,
and measure RGS9-2 GAP activity with DHHC5 co-expression. Due to the high number
of plasmids that will be co-transfected, we would need to create two polycistronic vectors,
one containing the RGS9-2 complex and DHHC5, the other vector containing the BRET
assay proteins GRK3-Cterminal-RLuc, Gβy-Venus, and Gα.
If DHHC5 does display a positive effect on RGS9-2 GAP activity, it would be interesting
to study its effect in cultured primary striatal neurons. Using patch clamp or calcium
imaging, we can quantify neural activity when we treat it with QNP or DA to activate D2R
signalling. We can then overexpress and knock-down DHHC5 expression by transfection
and siRNA, respectively, and observing any changes in neural signalling in response to
D2R stimulation. Ideally we would expect DHHC5 overexpression to inhibit D2R
signalling.
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