Here, we present a protocol for the simultaneous use of Förster resonance energy transfer-based tension sensors to measure protein load and fluorescence recovery after photobleaching to measure protein dynamics enabling the measurement of force-sensitive protein dynamics within living cells.
Cells sense and respond to physical cues in their environment by converting mechanical stimuli into biochemically-detectable signals in a process called mechanotransduction. A crucial step in mechanotransduction is the transmission of forces between the external and internal environments. To transmit forces, there must be a sustained, unbroken physical linkage created by a series of protein-protein interactions. For a given protein-protein interaction, mechanical load can either have no effect on the interaction, lead to faster disassociation of the interaction, or even stabilize the interaction. Understanding how molecular load dictates protein turnover in living cells can provide valuable information about the mechanical state of a protein, in turn elucidating its role in mechanotransduction. Existing techniques for measuring force-sensitive protein dynamics either lack direct measurements of protein load or rely on the measurements performed outside of the cellular context. Here, we describe a protocol for the Förster resonance energy transfer-fluorescence recovery after photobleaching (FRET-FRAP) technique, which enables the measurement of force-sensitive protein dynamics within living cells. This technique is potentially applicable to any FRET-based tension sensor, facilitating the study of force-sensitive protein dynamics in variety of subcellular structures and in different cell types.
The extracellular environment is a rich source of both biochemical and physical cues that dictate cell behavior. In particular, the physical nature of the microenvironment can mediate key cellular functions, including cell growth, migration, and differentiation1,2,3,4. Dysregulation of the mechanics of the microenvironment is a critical component to many diseases that do not yet have adequate treatments, such as cancer5, atherosclerosis6, and fibrosis7. A complete understanding of how cells convert physical stimuli into biochemically-detectable signals, a process termed mechanotransduction, requires the elucidation of the molecular mechanisms mediating force transmission, both into and out of the cells and within multiple subcellular structures.
Inside subcellular structures, proteins are constantly turning over; binding and unbinding based on the strength of their interactions with binding partners8. For forces to be successfully transmitted across a physical distance, there must be an unbroken chain of protein-protein interactions, meaning that a protein's turnover must be slow enough to sustain and transmit force to its binding partner9. While protein-protein interactions generally consist of several non-covalent bonds between the protein domains, the interaction is often conceptualized as a bound state that can transition to an unbound state under different conditions10,11. For a given protein-protein interaction, it is possible that force can have no effect on the lifetime of the interaction, known as an "ideal bond", reduce the lifetime of the interaction, known as a "slip bond", or increase the lifetime of the interaction, known as a "catch bond"10. Thus, there is an intricate relationship between protein load and protein dynamics, which we refer to as force-sensitive dynamics.
Towards understanding the effect of load on bond dynamics, a number of highly informative experiments have been performed on the single-molecule level. Using isolated proteins, or fragments of proteins and manipulation techniques such as magnetic tweezers, optical tweezers, and atomic force microscopy, these studies have demonstrated force-sensitive protein-protein interactions for several relevant proteins11,12. Both integrins13 and cadherins14, which are transmembrane proteins important for forming cell-matrix and cell-cell interactions, respectively, have demonstrated alterations in dynamics due to load. Within the cell, vinculin is recruited to both talin15 and α-catenin16 in a force-dependent manner and can form a catch bond with actin17, indicating a crucial role for vinculin at both focal adhesions (FAs) and adherens junctions (AJs) under load. Single-molecule studies allow for the isolation of specific protein-protein interactions and yield unambiguous results, but they do not account for the complexity of the cellular environment.
Landmark experiments demonstrated that several subcellular structures, including FAs and AJs, are mechanosensitive, and exhibit enhanced assembly in response to internally-generated or externally-applied loads18,19,20,21,22. Additionally, several theoretical models have suggested that mechanosensitive assembly could be driven by force-sensitive protein dynamics23,24,25. To examine these force-sensitive dynamics within living cells, a few indirect approaches have been taken. FRAP and related techniques provide a relatively simple methodology for measuring protein dynamics in cells26,27,28,29. However, the measurement of protein load has been more limited. A typical approach is to compare protein dynamics in cells with and without the exposure to a cytoskeletal inhibitor used to reduce overall cell contractility8,30,31. Conceptually, this is a comparison between a high load and low load state. However, there is no quantification of the load across the protein in either state, and there may be unintended biochemical effects of the inhibitor, such the loss of key binding sites along an F-actin filament. Another approach, specific to FAs, has been to measure total force exertion on the substrate by the FA using traction force microscopy to approximate molecular load and examine the relationship with the dynamics of a single protein within the FA32. While this approach allows for the quantification of total force, it does not provide molecularly specific information. FAs are made up of over 200 different proteins, many of which can bear load33. Thus, measuring the total force output of an FA potentially obscures the possibility of multiple force transmission pathways and does not reliably provide a measure of load on a specific protein.
Unlike previous approaches in mechanobiology, the advent of FRET-based tension sensors allows direct measurement of loads experienced by specific proteins inside living cells34,35,36. Here, we present a protocol that combines FRET-based tension sensors with FRAP-based measure of protein dynamics. We refer to this technique as FRET-FRAP. This approach enables the simultaneous measurement of protein load and protein dynamics, thus allowing the assessment of the force-sensitive protein dynamics in living cells (Figure 1). Already, the FRET-FRAP technique has been applied to the study of the force-sensitive dynamics of the mechanical linker protein vinculin37. Tension sensors have been developed for numerous proteins that are relevant in a variety of subcellular structures. For example, sensors have been developed for vinculin34 and talin38,39 in FAs, cadherins and catenins in AJs40,41,42, nesprin in the nuclear LINC complex43, α-actinin44 and filamin36 in the cytoskeleton, and MUC-1 in the glycocalyx45, among others46. Similarly, FRAP is a commonly used technique has been used on mechanosensitive proteins within the focal adhesions8,31, adherens junctions47, actin cortex26, and nucleus48. Moving forward, the FRET-FRAP technique should be broadly applicable to any of these existing sensors or newly developed sensors, allowing for the measurements of force-sensitive dynamics in a wide variety of subcellular structures and contexts. Towards this end, we provide a detailed, generalized protocol for implementing the FRET-FRAP technique applicable in these different systems. Hopefully, this will enable a wide variety of experiments elucidating the roles of various mechanosensitive proteins in regulating force transmission and in mediating cell behavior.
The FRET-FRAP method allows for direct measurement of force-sensitive protein dynamics, a property that has been difficult to directly probe inside living cells. The sensitivity of protein dynamics to molecular load is critical to the protein's function as a force transmitter or transducer. Loading is required for the transmission of both internally-generated and externally-applied forces, called mechanotransmission, and for the conversion of those forces into biochemically-detectable signals, called mechanotransduct…
The authors have nothing to disclose.
This work was supported by a National Science Foundation CAREER Award (NSF-CMMI-14-54257) as well as grants from the American Heart Association (16GRNT30930019) and National Institutes of Health (R01GM121739-01) awarded to Dr. Brenton Hoffman and a National Science Foundation Graduate Research Fellowship awarded to Katheryn Rothenberg. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NSF or NIH.
0.05% Trypsin-EDTA | Thermo Fisher | 25300062 | |
16% Paraformaldehyde | Electron Microscopy Sciences | 30525-89-4 | |
60x Objective NA1.35 | Olympus | UPLSAPO 60XO | |
Antibiotic-Antimycotic Solution (100x) | Gibco | 15240-062 | |
Automated Stage | Prior Scientific | H117EIX3 | |
Custom Dichroic Mirror | Chroma Technology Corp | T450/514rpc | |
Custom mTFP1 Emission Filter | Chroma Technology Corp | ET485/20m | |
Custom mTFP1 Excitation Filter | Chroma Technology Corp | ET450/30x | |
Custom Venus Excitation Filter | Chroma Technology Corp | ET514/10x | |
DMEM-gfp Live Cell Visualization Medium | Sapphire | MC102 | |
Dulbecco's Modified Eagle's Medium | Sigma Aldrich | D5796 | with L-glutamine and sodium bicarbonate |
Fetal Bovine Serum | HyClone | SH30396.03 | |
Fibronectin, Human | Corning | 47743-654 | |
FRAPPA Calibration Slide | Andor | provided along with FRAPPA unit | |
FRAPPA System with 515 nm Laser | Andor | ||
Glass-bottomed Fluoro Dishes | World Precision Instruments | FD35 | |
HEK293-T Cells | ATCC | CRL-3216 | |
Hexadimethrine Bromide, Polybrene | Sigma Aldrich | H9268-5G | |
High-glucose Dulbecco's Modified Eagle's Medium | Sigma Aldrich | D6429 | |
Inverted Fluorescent Microscope | Olympus | IX83 | |
JMP Pro Software | SAS | ||
Lambda 10-3 Motorized Filter Wheels | Sutter Instruments | LB10-NW | |
LambdaLS Arc Lamp with 300W Ozone-Free Xenon Bulb | Sutter Instruments | LS/OF30 | |
Lipofectamine 2000 | Invitrogen | 11668-027 | |
MATLAB Software | Mathworks | ||
MEM Non-Essential Amino Acids | Thermo Fisher | 11140050 | |
MetaMorph for Olympus | Olympus | ||
Micro-Humidification System | Bioptechs | 130708 | |
MoFlo Astrios EQ Cell Sorter | Beckman Coulter | B25982 | |
Objective Heater Medium | Bioptechs | 150819-13 | |
OptiMEM | Thermo Fisher | 31985070 | |
Phosphate Buffered Saline | Sigma Aldrich | D8537 | |
pMD2.G Envelope Plasmid | Addgene | 12259 | |
pRRL Vector | gift from Dr. Kam Leong (Columbia University) | ||
psPax2 Packaging Plasmid | Addgene | 12260 | |
sCMOS ORCA-Flash4.0 V2 Camera | Hamamatsu Photonics | C11440-22CU | |
Sorvall Legend XT/XF Centrifuge | Thermo Fisher | 75004505 | |
Stable Z Stage Warmer | Bioptechs | 403-1926 | |
Venus Emission Filter | Semrock | FF01-571/72 |