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The Eukaryotic Cell Cycle: Molecules, Mechanisms and Mathematical Models. John J. Tyson Biological Sciences, Virginia Tech & Virginia Bioinformatics Institute. Funding: NIH-GMS. The cell cycle is the sequence of events whereby a growing cell replicates all its components and divides - PowerPoint PPT Presentation
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The Eukaryotic Cell Cycle: Molecules, Mechanisms and Mathematical Models
John J. TysonBiological Sciences, Virginia Tech& Virginia Bioinformatics InstituteFunding: NIH-GMS
S
DNA synthesis
G2
G1
cell division+
Metaphase
Anaphase
Telophase
Prophase
The cell cycle is thesequence of events wherebya growing cell replicates allits components and dividesthem more-or-less evenly
between two daughter cells...
Why study the cell cycle?
All living organisms are made of cells.All cells come from previously existing cells by the process of cell growth and division.
Why study budding yeast?
S
DNA synthesis
G2
G1
cell division+
Metaphase
Anaphase
Telophase
Prophase
Alternation of DNA synthesis and mitosisCheckpoints
Balanced growth and division
Robust yet noisy
S
DNA synthesis
G2
G1
cell division+
Metaphase
Anaphase
Telophase
Prophase
Cdk
Cln2
Clb5Clb2
APC
Cdh1Sic1 APCCdc20
Cdc20
Cdc20
Cdh1
Sic1
Clb2
Clb2Sic1
Cln2
APC-PAPCMcm1
Mcm1A
Clb5 SBFA
SBF
Swi5A
Swi5
Sic1
Clb5
Cdc14
Cdc14
Cln2
Clb2
Cdh1
Cdc20Cdh1
Budding YeastChen et al. (2004)
Whi5SBFA
Whi5
Whi5 P
Net1
Cdc14Net1Net1
P
Cln3 Cell Size Sensor
Clb2
Tyson & Novak, “Irreversible transitions, bistability and checkpoint controls in the eukaryotic cell cycle: a systems-level understanding,” in Handbook of Systems Biology (2012)
Tyson & Novak, “Temporal Organization of the Cell Cycle,” Current Biology (2008)
Kathy Chen
Bela Novak
Deterministic Modeling
Attila Csikasz-NagyAndrea Ciliberto
Cdc20
Cdc20
Cdh1
Sic1
Clb2
Clb2Sic1
Cln2
APC-PAPCMcm1
Mcm1A
Clb5 SBFA
SBF
Swi5A
Swi5
Sic1
Clb5
Cdc14
Cdc14
Cln2
Clb2
Cdh1
Cdc20Cdh1
Budding YeastChen et al.
Whi5SBFA
Whi5
Whi5 P
Net1
Cdc14Net1Net1
P
Cln3 Cell Size Sensor
Clb2Deterministic Model
-
-
' "1 2 2
3 4
3 4
d ( )dd (1 )d 1
X k S k k Y XtY k Y k XYt J Y J Y
differential equations
X
YP
Y
mechanism
' "1 1 2
3 4
3 4
d ( )d
(1 )dd 1
X k S k k Y Xt
k A YY k XYt J Y J Y
differential equations
Clb
2-de
p ki
nase
S/A, parameter
ON
OFF
What mechanisms flipthe switch on and off?
2
steady statebifurcation diagram
Cdc20
Cdc20
Cdh1
Sic1
Clb2
Clb2Sic1
Cln2
APC-PAPCMcm1
Mcm1A
Clb5 SBFA
SBF
Swi5A
Swi5
Sic1
Clb5
Cdc14
Cdc14
Cln2 Cdh1
Cdc20Cdh1
Budding YeastChen et al.
Whi5SBFA
Whi5
Whi5 P
Net1
Cdc14Net1Net1
P
Cln3
Clb2
-
Clb2
-
-Clb2
Cdh1
Cln2
-
Clb2
Cln2
Entry
DN
A Synthesis
G1
G2/M
Cdc20
Cdc20
Cdh1
Sic1
Clb2
Clb2Sic1
Cln2
APC-PAPCMcm1
Mcm1A
Clb5 SBFA
SBF
Swi5A
Swi5
Sic1
Clb5
Cdc14
Cdc14
Cln2
Clb2
Cdh1
Cdc20Cdh1
Budding YeastChen et al.
Whi5SBFA
Whi5
Whi5 P
Net1
Cdc14Net1Net1
P
Cln3 Cell Size Sensor
Clb2
-
-
+
+
Clb2
Cdh1
Cdc14
Clb2
Cdc14
Exit
Cell D
ivision
G1
G2/M
Clb2
Cln2 Cdc14
G1 G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Clb2
Cln2 Cdc14
G1 G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Clb2
Cln3 Cdc14
G1 G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Cln3
Clb2
Cln3 Cdc14
G1 G1
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Cln3
S
Protocol to demonstrate hysteresis at Start
Cross et al., Mol. Biol. Cell 13:52 (2002)
Genotype: cln1D cln2D cln3D GAL-CLN3 cdc14ts
Knockout all the G1cyclins
Turn on CLN3 with galactose; turn off with
glucose
Temperature-sensitive allele of
CDC14: on at 23oC, off at 37oC.
“Neutral” conditions: glucose at 37oC (no Cln’s, no Cdc14)
Fred Cross
R = raffinoseG = galactose
Standard for protein loading
G1 cells
S/G2/M cells
Start with allcells in G1
Make some Cln3
Shift toneutral
Clb2
Cln2 Cdc14
G1 G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Clb2
Cln2 Cdc14
G1 G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Cdh1CA
Clb2
Cln2 Cdc14
G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Cdh1CA
G1
Protocol to demonstratehysteresis at Exit
Lopez-Aviles et al., Nature 459:592 (2009)
Genotype: MET-CDC20 GAL-CDH1CA cdc16ts
Turn off Cdc20;block in metaphase
Turn on Cdh1; degrade Clb2 and exit from mitosis
Inactivate APC at 37oC; block any
further activity of Cdh1
Add galactose at 23oC to turn on Cdh1, then raise temperature to 37oC to turn off Cdh1
Frank Uhlmann
0 min 50 min 140 min
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 min
Tubulin
370C
MET-CDC20 GAL-CDH1CA APCcdc16(ts)
Cdh1CA
CKI
CycB
Gal
metaphasemetaphase interphase
S
DNA synthesis
G2
G1
cell division+
Metaphase
Anaphase
Telophase
Prophase
Alternation of DNA synthesis and mitosisCheckpoints
Balanced growth and division
Robust yet noisy
Clb2
Cln2 Cdc14
G1 G1
S
G2 M A
T
DNA Damage
Clb2
Cdh1
Cln2 Cdc14
ChromosomeAlignmentProblems
Clb2
Cln2 Cdc14
G1 G1
S
G2 M A
T
Clb2
Cdh1
Cln2 Cdc14
Growth
Is this deterministic model robust in the face of the inevitable molecular noise in a tiny yeast cell
(volume = 40 fL = 40 x 10-15 L)
Table 1. Numbers of molecules (per haploid yeast cell) and half-lives for several cell cycle components.
Cell cycleGene
# molecules per cell Half-life (min)
Protein mRNA Protein mRNA
CDC28 6700 2.2 300 23
CLN2 1300 1.2 5 10
CLB2 340 1.1 22 13
CLB5 520 0.9 44 9
SWI5 690 0.8
MCM1 9000 1.6 300 14
SIC1 770 1.9
CDC14 8500 1.0 20 11
Molecular Noise
Budding Yeast CellsVol = 40 fL
Table 1. Numbers of molecules (per haploid yeast cell) and half-lives for several cell cycle components.
Cell cycleGene
# molecules per cell Half-life (min)
Protein mRNA Protein mRNA
CDC28 6700 2.2 300 23
CLN2 1300 1.2 5 10
CLB2 340 1.1 22 13
CLB5 520 0.9 44 9
SWI5 690 0.8
MCM1 9000 1.6 300 14
SIC1 770 1.9
CDC14 8500 1.0 20 11
Molecular Noise
Budding Yeast CellsVol = 40 fL
Table 1. Numbers of molecules (per haploid yeast cell) and half-lives for several cell cycle components.
Cell cycleGene
# molecules per cell Half-life (min)
Protein mRNA Protein mRNA
CDC28 6700 2.2 300 23
CLN2 1300 1.2 5 10
CLB2 340 1.1 22 13
CLB5 520 0.9 44 9
SWI5 690 0.8
MCM1 9000 1.6 300 14
SIC1 770 1.9
CDC14 8500 1.0 20 11
Molecular Noise
Budding Yeast CellsVol = 40 fL
Table 1. Numbers of molecules (per haploid yeast cell) and half-lives for several cell cycle components.
Cell cycleGene
# molecules per cell Half-life (min)
Protein mRNA Protein mRNA
CDC28 6700 2.2 300 23
CLN2 1300 1.2 5 10
CLB2 340 1.1 22 13
CLB5 520 0.9 44 9
SWI5 690 0.8
MCM1 9000 1.6 300 14
SIC1 770 1.9
CDC14 8500 1.0 20 11
Molecular Noise
Budding Yeast CellsVol = 40 fL
Table 1. Numbers of molecules (per haploid yeast cell) and half-lives for several cell cycle components.
Cell cycleGene
# molecules per cell Half-life (min)
Protein mRNA Protein mRNA
CDC28 6700 2.2 300 23
CLN2 1300 1.2 5 10
CLB2 340 1.1 22 13
CLB5 520 0.9 44 9
SWI5 690 0.8
MCM1 9000 1.6 300 14
SIC1 770 1.9
CDC14 8500 1.0 20 11
Molecular Noise
Budding Yeast CellsVol = 40 fL
PP
P P
1
1 3%1000
CVN N
pP
p
2P P
kN
N
Birth-Death Process
Transcription-TranslationCoupling
MP
P M P M
1 1
1 1 1 70%1000 2 1
CVN N
Swain, Paulsson, etc.
How variable is the yeast cell cycle?
Di Talia et al., Nature (2007)
G1 DurationMean = 16 min
CV = 48%
S/G2/M DurationMean = 74 min
CV = 19%Cycle Time Mother Daughter
87 min ± 14% 112 min ± 22%
Size @ Div 68 fL ± 19%
Budding: Myo1-GFPCell size: ACT1pr-DsRed
Di Talia et al., Nature (2007)
Whi5 exit: Whi5-GFPCell size: ACT1pr-DsRed
Daughter Cells
Debashis Barik & Sandip Kar
Jean Peccoud Yang Cao
Mark PaulBill Baumann
Stochastic Modeling
Multisite Phosphorylation Model (Barik, et al.)
Clb2
Cdh1 bistableswitch
Multisite Phosphorylation Model (Barik, et al.)
Cell size control
Clb2
Cdh1
Cln2
Multisite Phosphorylation Model (Barik, et al.)
Clb2
Cdh1
Cln2 Cdc14
Deterministic calculations
The model consists of 58 species, 176 reactions and 68 parameters Mass-action kinetics for all reactions At division daughter cells get 40% of total volume and mothers get 60%
Stochastic calculations
The model consists of 58 species, 176 reactions and 68 parameters Mass-action kinetics for all reactions Protein populations: ~1000’s of molecules per gene product mRNA populations: ~10 molecules per gene transcript mRNA half-lives: ~ 2 min Reactions are simulated using Gillespie’s SSA
Experimental data from:Di Talia et al., Nature (2007)
Mother Daughter
Cycle Time (min) Expt 87 ± 14% 112 ± 22%
Model 89 ± 20% 114 ± 22%
G1 duration (min) Expt 16 ± 50% 37 ± 50%
Model 21 ± 48% 41 ± 48%
Size@birth (fL) Expt 40 ± 18% 28 ± 20%
Model 41 ± 23% 28 ± 23%
Daughter cellsModel Di Talia et al.
Mother cellsModel Di Talia et al.
Daughter cells
Expt.: Di Talia et al, Nature (2007)
Summary• Cell cycle control in eukaryotes can be
framed as a dynamical system that gives a coherent and accurate account of the basic physiological properties of proliferating cells.
• The control system seems to be operating at the very limits permitted by molecular fluctuations in yeast-sized cells.
• A realistic stochastic model is perfectly consistent with detailed quantitative measurements of cell cycle variability.
ComputationTheory
Experiment
Current Biology 18:R759 (2008)Proc Natl Acad Sci 106:6471 (2009)
Mol Syst Biol 6:405 (2010)Handbk of Syst Biol (to appear)
Budding: Myo1-GFPCell size: ACT1pr-DsRed
Whi5 exit: Whi5-GFPCell size: ACT1pr-DsRed
Di Talia et al., Nature (2007)
Whi5
Cyclin
Whi5PStart
Exit
BE
DNAsynth
Daughter cell
Di Talia et al., Nature (2007)
T2 = TG1 – T1 = constant
Mother cells
Expt.: Di Talia et al, Nature (2007)
TG1
T1
Daughter cells
T2
T1 = Time when Whi5exits from nucleus