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1 Ploen, May 10th 2011 Temperature effects on Microarrays Arnaud Buhot SPrAM, INAC, CEA Grenoble

Temperature effects on Microarraysweb.evolbio.mpg.de/ploenworkshop/presentations/Buhot.pdf · 2011-05-16 · Signal detection : Surface Plasmon Resonance imaging • Multi-spots detection

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1Ploen, May 10th 2011

Temperature effectson Microarrays

Arnaud BuhotSPrAM, INAC, CEA Grenoble

2Ploen, May 10th 2011

Outlook of the presentation

• Experimental Set Up

– Grafting chemistry (electro-polymerization or SAMs)

– Hybridization detection : Surface Plasmons Resonance Imaging – Temperature control (equilibrium and out-of-equilibrium scans)

• Electrostatic penalty

– Equilibrium melting curves– Salt concentration effects

– Confrontation to the model

• Potential applications– Single Nucleotide Polymorphism (SNP) genotyping

• Homozygous case (pure targets)

• Heterozygous case (mixed targets)– Low abundant somatic point mutation detection

• Low temperature cooling hybridization

• Temperature cycles • Conclusion

3Ploen, May 10th 2011

Microarray fabrication : Grafting chemistries

• Substrate : Gold surface on a glass prism for SPR imaging

• Spot Fabrication: Two grafting chemistries

– Self Assembled Monolayer (SAM) of DNA-thiols– Electro-polymerization of pyrrole and DNA-pyrrole

• Relative advantages and drawbacks

– Better accessibility of targets and SPR signal for thiol SAMs– Better stability (temperature and time) for poly-pyrrole

4Ploen, May 10th 2011

Signal detection : Surface Plasmon Resonance imaging

• Multi-spots detection : parallel (from few tens to thousands)

• Real time kinetics without label

• Hybridization cell of 4µL with fluidics• Precise temperature control from 15 to 85°C (home-made)

• Commercial apparatus by Genoptics (Horiba Jobin Yvon)

5Ploen, May 10th 2011

Kinetics of hybridization and denaturation

J.B. Fiche et al. Biophys. J. 92 , 935 (2007)

-0.1

0.1

0.3

0.5

0.7

0.9

0 2 4 6 8 10 12 14 16 18 20

Time (min)

Ref

lect

ed In

tens

ity

6.25 nM

12.5 nM

25 nM

50 nM100 nM200 nM400 nM

Controls

Ref

lect

ivity

(%)

Time (min)

Buffer Hybridization Buffer

Targetconcentration

6Ploen, May 10th 2011

Experimental set up : Temperature scan

-20

-15

-10

-5

0

5

0 10 20 30 40 50 60

Ref

lect

ivity

(%

)

Time (min)

Probe injection

Temperaturescan starts

Temperaturescan ends

Temperature dependence of the water index leads to change of reflectivity

∆T=1°C ⇔ ∆R=0.35%

Temperature effects on plasmon curves

1: Reference scan

2: Hybridization

3: Detection scan∆Tm

t

1

2

3

T

Subtraction of a reference scan (1) from the detection scan (3) on each spot of the microarray:

Condition: Precise control of the temperature

Applications: Melting curve analysis, SNP and/or somatic point mutation detection,…

Measurement protocol

Melting curves

7Ploen, May 10th 2011

Equilibrium Melting Curves

Target concentration 250nM Salt concentration 157mM

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

30 40 50 60 70

Agitated cycle 1

Agitated cycle 2

Not agitated

Termperature (°C)

Hybridized fraction

8Ploen, May 10th 2011

Model for electrostatic interactions

• DNA = Highly charged polymer– One charge per base

– Spot = Charged surface

• Importance of Electrostatic Interactions

– Effect of probe density σ– Effect of salt concentration cs

• Hybridization

– Increasing charge : (Np+Ntθ) σ• Salt concentration

– Screening effect increases with salt concentration cs

• Hyp: Uniformly charged width H and Np=Nt

• Modified Langmuir Model

θθ−1

tc

Γ=0

Γ>0

)1(

θθ +Γ−=−

eKc ptt withs

p

s

p

c

c

Hc

N==Γ

σNote : at high salt 0≈Γ

Competition Free Experiment

HNt bases Np

bases

cp probe base concentration

A. Halperin et al., Biophys. J. 86 , 718 (2004)

9Ploen, May 10th 2011

Electrostatic interactions on microarrays

0

0.2

0.4

0.6

0.8

1

30 40 50 60 70

157mM Na+ (1)

157mM Na+ (2)

220mM Na+

320mM Na+

420mM Na+

520mM Na+

620mM Na+

Hyb

ridiz

ed fr

actio

n θθ θθ

Temperature T(°C)

Salt concentration dependence of the melting curves

Collapse following the modelwith a single parameter

-2

-1

0

1

2

3

4

3.05 3.1 3.15 3.2 3.25 3.3

157nM

220nM

320nM

420nM

520nM

620nM

Fit

logθ

/(1-

θ)+

Γ(1+

θ)1000/T (1/K)

3035404550

Temperature (°C)

)1(

θθ +Γ−=−

eKc ptt

J. Fuchs et al. Biophys. J. 99 , 1886 (2010)

10Ploen, May 10th 2011

Point Mutation Detection through Melting Temperature

• Spot A grafted with mutation probes complementary to mutation targets• Spot B grafted with probes complementary to wild type targets

• Hybridization on both spots with a single sequence target

• Both mutation and wild type targets hybridize to both spots • Discrimination : Different melting curves and denaturation temperatures due to different stabilities between perfect match and mismatch sequences

• Analogue to solution phase method by Wittwer (LightCycler) :

High Resolution Melting Curve Analysis

Spot B

Wild Type

Wild Type probeMutationprobe

Spot A

Mutation target

11Ploen, May 10th 2011

SNP genotyping through Melting Curve Analysis

0 2 4 6 8 10 12-0.2

0

0.2

0.4

0.6

0.8

1

1.2

-0.2

0

0.2

0.4

0.6

0.8

1

1.2

Ref

lect

ivity

(%

)

Time (min)

X

Target M3*: 3’- ACC TCG AAC ACC GCA -5’

M3: 5’-Py–(T10 )- TGG AGC TTG TGG CGT -3’

N : 5’-Py–(T10 )- TGG AGC TGG TGG CGT -3’M1: 5’-Py–(T10 )- TGG AGC TAG TGG CGT -3’M2: 5’-Py–(T10 )- TGG AGC TCG TGG CGT -3’

0

0.2

0.4

0.6

0.8

1

30 40 50 60 70

0

0.2

0.4

0.6

0.8

1

Temperature (°C)

Nor

mal

ized

inte

nsity

Perfect Match (M3)

One Mutation

Two mutations

Denaturation at 2°C/min afterinjection of M3* at 250nM

M1M2M3M4M5M6N

M3*, 250nM, T=30°C

Impossibility to distinguish perfectmatch from mismatch from the

kinetics of hybridization.

J.B. Fiche et al. Anal. Chem. 80 , 1049 (2008)

Homozygous case

12Ploen, May 10th 2011

SNP genotyping through Melting Curve Analysis

Perfect matchMutation

Hybridizationfraction θ

Log(Time)

50%

100%

Initiation of the temperature scan

Heterozygous case : 50% wild type and 50% mutation

Hybridization kinetics kon DNA sequence and length independentLimiting step : nucleation of a stable duplexfollowed by a fast zipping process

13Ploen, May 10th 2011

SNP genotyping through Melting Curve Analysis

Melting curves at 2°C/min after injection of M4* and M5* at 125nM each

0

0.2

0.4

0.6

0.8

1

30 40 50 60 70

Nor

mal

ized

inte

nsity

Temperature (°C)

M1M2M3M4M5M6N

40 50 60 70 80

0.2

0.4

0.6

0.8

1

Theoretical simulation withreaction constants in solution

1

0.8

0.6

0.4

0.2

40 50 60 70

50%

T

R

∆Tm>7-8°C sufficientlylarge to observe the two

step denaturation

Heterozygous case

14Ploen, May 10th 2011

Low abundant mutation detection

• Somatic point mutations detection from tumor extract or even body fluids

• Low concentration of mutation vs wild type• Detection limit = minimal percentage of mutation detected

• Question: How to improve the detection level?

15Ploen, May 10th 2011

Low temperature cooling scans with targets

• Idea : perfect match more stable hybridize at higher temperature

• Result : Ten-fold increase of the plateau level

Simulation Experiment

J. Fuchs et al. Anal. Chem. submitted

16Ploen, May 10th 2011

Temperature cycles with targets

• Idea : Successive improvements by multiple cycles

• Result : Improvement dependent on the maximal temperature

• Experimental result for Tmax = 47°C

# mismatchwith targets

0

1

2

17Ploen, May 10th 2011

Conclusion

• Since hybridization is a thermodynamic reaction, temperature effects are important particularly on microarrays• Temperature affects equilibrium as well as out-of-equilibrium melting curves and also kinetics• Measuring equilibrium melting curves is experimentally possible

• It allows us to determine electrostatic effects, thermodynamic parameters and much more physico-chemical parameter effects on solid phase hybridization

• Possible applications : SNP genotyping or detection of somatic point mutations

• Drawbacks experienced for Fundamental Physico-Chemical studies

– Grafting chemistry : none seems satisfying

– Grafting density : independent determination difficult– Signal-to-noise ratio : low for precise confrontation to models

– Dependence of the platform used (SPRi, microarrays fabrication)

18Ploen, May 10th 2011

Acknowledgements

• Theory– A. Halperin (Liphy, Grenoble)

– E. B. Zhulina (St Petersbourg)

• Experiments– J.B. Fiche (PhD, 2006)

– J. Fuchs (PhD, 2009)

– C. Daniel (PhD, 2013)– F. Melaïne (Master 2 2011)

– R. Calemczuk (SPrAM/CREAB)

– Th. Livache (SPrAM/CREAB)– Y. Roupioz (SPrAM/CREAB)

• Collaborations

– M. Tabrizian (McGill, Canada)– D. Del Atti et M. Mascini (Firenze, Italy)

– E. Crapez (Canceropole Montpellier)