FROM LOCALIZATION TO INTERACTION

Transcription

1 EPFL SV PTBIOP FROM LOCALIZATION TO INTERACTION BIOP COURSE 2015

2 COLOCALIZATION TYPICAL EXAMPLE EPFL SV PTBIOP Vinculin Alexa568 Actin Alexa488 Colocalization: The presence of two or more fluorophores on the same physical structure (in a cell).

3 Image MICROSCOPY LOW PASS FILTERING Object

4 COLOCALIZATION EPFL SV PTBIOP Two different molecules can never be at the same physical spot at the same time. Colocalization seen in images is coming from the low-pass filtering of the image formation in light microscopy. Colocalization is an artificial phenomenon and therefore always relative.

5 FÖRSTER RESONANCE ENERGY TRANSFER EPFL SV PTBIOP S 1 S 1 S 0 S 0 Donor Acceptor distance

6 FÖRSTER RESONANCE ENERGY TRANSFER EPFL SV PTBIOP FRET is the non-radiative transfer of excitation energy from a donor fluorophore to a nearby acceptor. (Förster, Ann. Phys : 55-75) S 1 S 1 S 0 S 0 Donor Acceptor distance

7 Energy transfer efficiency ENERGY TRANSFER EFFICIENCY EPFL SV PTBIOP 1 R 0 <R 0 <R E = r R distance r / nm

8 ENERGY TRANSFER EFFICIENCY R 0 = κ 2 n 4 QY D ε A fd λ f 0 A λ λ 4 dλ fd λ dλ Förster distance (R 0 ) is dependant on a number of factors, including: the fluorescence quantum yield of the donor in the absence of acceptor (QY D ) the extinction coefficient of the acceptor (ε A ) the refractive index of the solution (n) the dipole angular orientation of each molecule (κ 2 ) the spectral overlap integral of the donor and acceptor

9 ENERGY TRANSFER EFFICIENCY EPFL SV PTBIOP Lam et al. Nature Meth 2012 p1005 See also: Sun at al. Cytometry PartA 2013 p780

10 FRET APPLICATIONS IN BIOLOGY PROTEIN-PROTEIN INTERACTION FRET Low/No FRET No FRET 3 nm

11 FRET APPLICATIONS IN BIOLOGY INTRAMOLECULAR SENSOR No FRET FRET Ligand, small molecule, analyte 3 nm Miyawaki A, et al. Nature Aug 28;388(6645): Fluorescent indicators for Ca2+ based on green fluorescent proteins and calmodulin

12 FRET APPLICATIONS IN BIOLOGY INTRAMOLECULAR SENSOR Masharina A, et al. J Am Chem Soc Nov 21;134(46): A fluorescent sensor for GABA and synthetic GABA(B) receptor ligands.

13 FRET EFFICIENCY SUMMARY FRET efficiency is only apparent but can be very precise as well The measured FRET efficiency (E) depends on a number of factors: Ro the affinity of the interaction between donor and acceptor the stoichiometry of donor and acceptor-labeled proteins the presence of unlabeled molecules the ratio of the number of labels per protein the saturation of the donor The calculated FRET efficiency is an apparent FRET efficiency

14 FRET DETECTION EPFL SV PTBIOP S 1 S 1 τ D S 0 S 0 S 1 τ DA S 1 E = 1 τ DA τ D S 0 S 0 Donor Acceptor

15 FLIM MEASUREMENT TCSPC Time-correlated single-photon counting (TCSPC) Records times at which individual photons are detected by photo-multiplier tube (PMT) or an avalanche photo diode (APD) after a single pulse. The recordings are repeated for additional pulses Histogram of the number of events across all of these recorded time points. From TCSPC Technical note, PicoQuant

16 FLIM MEASUREMENT PHASE MODULATION Phase modulation of excitation light source (typically LED, laser AOTF) τφ = ω 1. tanδφ, τm = ω 1. M 2 1, where ω is the frequence Advantage: camera-based detection fast lifetime image acquisition possible

17 Cy3 GFP ACCEPTOR PHOTOBLEACHING Prebleach Image Postbleach Image B l e a c h i n g In acceptor photobleaching, the acceptor molecule of the FRET pair is bleached, resulting in a brightening (unquenching) of the donor fluorescence.

18 ACCEPTOR PHOTOBLEACHING Median Filtering Subtraction: Postbleach Prebleach Division: Subtraction/ Postbleach E A i = 1 FD i D F bleach i = E α D (i) An apparent FRET efficiency (product of the efficiency of the FRET pair and the amount of interacting donor) can be calculated

19 CROSS-TALK AND CROSS- EXCITATION Channel 1: nm Channel 2: nm RGB Overlay CFP only YFP only CFP+ YFP

20 SENSITIZED EMISSION DETECTION D D A A Ratiometric imaging can only be done in samples with a fixed stochiometry of donor and acceptor (e.g. Cameleons) A A A A D D D A A D D A A A In samples with variable stochiometries, the detected acceptor fluorescence has to be corrected for emission cross-talk and for cross-excitation

21 SENSITIZED EMISSION DETECTION Predetermined factors with pure samples of donor and acceptor: Donor cross-talk : R D Acceptor cross-excitation : R E Required images: Donor channel Donor excitation F D Acceptor channel Donor excitation F DA Acceptor channel Acceptor excitation F A F DA corr/f A =>

22 SENSITIZED EMISSION DETECTION Predetermined factors with pure samples of donor and acceptor: Donor cross-talk : R D Acceptor cross-excitation : R E E a = F DA corr F A F DA corr/f A E a = C E α A FD corr = F DA F D R D F A R E Donor cross-talk correction Acceptor cross-excitation correction

23 FRET DETECTION SUMMARY EPFL SV PTBIOP Fluorescence Lifetime Measurement Absolute Energy Transfer Efficiency Dedicated Hardware needed Complex Data Analysis Intensity based Measurements Sensitized Emission Can be realized on wide-field and confocal systems. Fast and suitable for live-cell imaging Complex data analysis Apparent energy transfer efficiency Acceptor Photobleaching Can be realized on any confocal system Easy data analysis Potential Artefacts with fluorescent proteins

24 DYNAMIC CELLULAR PROCESSES

25 MOVEMENT OF PARTICLES N=12 N=12 N=12 N=12 t=0 t=dt No transport/movement of particles Transport/movement of particles from left to right and right to left (steady-state)

26 MOVEMENT OF PARTICLES N=12 N=12 V=0 N=12 N=12 V=0 t=0 t=dt No transport/movement of particles

27 MOVEMENT OF PARTICLES N=12 V=12 N=12 V=0 N=12 V=6 N=12 V=6 t=0 t=dt Transport/movement of particles from left to right and right to left

28 FLUORESCENCE RECOVERY AFTER PHOTOBLEACHING (FRAP) Bastiaens and Pepperkok (2000), TIBS 25/12

29 OVERVIEW 1) Introduction 2) FRAP principles 3) FRAP data analysis 4) Related techniques (FLIP, FLAP, Photoactivation, -conversion 5) Possible limitations 6) New technology developments

30 SCHEMATIC OF A FRAP EXPERIMENT II: Bleach I: Pre-bleach III: Post-bleach

31 FRAP EXPERIMENT IN PRACTICE 1) Take a series of images before bleach (same settings as after the bleach) 2) Apply short local bleach 3) Take images after bleach until the recovery in the bleached area reaches a plateau

32 INTENSITY OF BLEACHING LIGHT AOTF upregulation (0-100%): Linear Zoom In: Exponential 2 zoomfactor Speed limitation due to switching of the scanfield

33 FRAP EXPERIMENTAL DATA Kappel and Eils, Leica App.Letter 2004

34 DATA PROCESSING 1) Background subtraction 2) Correction for photobleaching during the measurement (whole cell or neighboring cell as reference) 3) Data normalization (alternative methods)

35 normalized intensity TYPICAL FRAP EXPERIMENT time / s

36 normalized intensity TYPICAL FRAP EXPERIMENT time / s

37 FRAP PARAMETERS Immobile Fraction Mobile Fraction Half Life (t 1/2 )

38 CURVE FITTING 1-A ½A t 1/ 2 ln 0.5 t A Half Life (t 1/2 ) f tt ( t) A( 1 e )

39 PARAMETERS OF EXPONENTIAL FIT 1) Mobile and immobile fraction 2) Recovery half-time Estimation of diffusion coefficient (Axelrod et al.) w 2 D = t 1/2 w: bleach radius Assumptions: - bleached area is disk shaped - diffusion occurs only in 2D

40 BINDING REACTIONS Diffusion Unbinding Binding Binding Site(s) Diffusion: D f Binding: k on Unbinding:k off

41 PURE DIFFUSION Circular bleach area Analytical Solution (Soumpasis) Recovery depends on bleach area 1.0 τ D = w2 D f normalized intensity f x time / s w=0.5 m w=1.0 m w=2.0 m w=4.0 m = exp τ D 2 t I 0 τ D 2 t + I 1 τ D 2 t

42 REACTION DOMINATED 1.0 normalized intensity k off =16 s -1 k off =16 s -1 k off =16 s -1 k off =16 s time / s f x = C equ 1 exp k off t k on C equ = k on + k off

43 DIFFUSION VS. BINDING Phair and Mistelli, Nature Reviews MolCellBio, 2001 Lippincott-Schwartz et al. Nature CellBio Supp Multiple populations with differing diffusion rates => multi-component equations

44 POTENTIAL FRAP ARTEFACTS Problem: Partial recovery: Reversible photobleaching: Non-diffusive behaviour: Different values in consecutive measurements: Potential explanation e.g. immobile fraction, physical separation fixed samples, varition of the bleach spot size binding, active transport => modelling photodamage Lippincott-Schwartz et al. Nature CellBio Supp. 2003

45 FLUORESCENCE LOSS IN PHOTOBLEACHING Phair and Mistelli, Nature Reviews MolCellBio, 2001

46 PHOTOACTIVATION PHOTOCONVERSION Excitation at 488 nm Irradiation at 405 nm Other popular photomanipulatable Proteins: Kaede meos DRONPA But oligomerization especially when expressed in cells is often an issue. Patterson and Lippincott-Schwartz (2002), Science 297:

47 PHOTOACTIVATION PA-GFP Patterson and Lippincott-Schwartz (2002), Science 297:

48 FRAP OUTLOOK Mueller F. et al Curr. Opin. Cell Biology

49 FCS FLUCTUATIONS ARE THE SIGNAL Diffusion Enzymatic Activity Phase Fluctuations Conformational Dynamics Rotational Motion Protein Folding Example of processes that could generate fluctuations

50 FLUORESCENCE CORRELATION SPECTROSCOPY (FCS) EPFL SV PTBIOP approaches_correlation_microscopy.shtml Schwille P. and Haustein E Annu. Rev. Biophy. Biomol Struct.

51 GENERATING FLUCTUATIONS BY MOTION What is Observed? 1. The Rate of Motion 2. The Concentration of Particles Observation Volume 3. Changes in the Particle Fluorescence while under Observation, for example conformational transitions Sample Space

52 THE AUTOCORRELATION FUNCTION t 3 t 4 t t 1 t 5 Detected Intensity (kcps) G(0) 1/N As time (tau) approaches Time (s) G(t) Diffusion G(t) F(t) F(t t) F(t) Time(s)

53 FRAP & FCS SUMMARY EPFL SV PTBIOP FRAP and FCS can be used to investigate the movement (e.g. Diffusion) of cellular components. FRAP can be realized on every commercial microscope. FRAP requires overexpression of the component to investigate. Photobleaching is toxic! Better: Usage of photo-convertebale variants. FCS requires a dedicated microscope setup. FCS works with (very) low concentrations. Data analyis is complex for FRAP & FCS.