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Posts by Sam Aytekin

Overall, these results show that FRET signal measured by molecular tension probes is determined by a combination of sensor architecture and measurement approach. This work provides a controlled comparison and a reference for selecting & interpreting tension sensors in future mechanobiology studies.

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We finally examined the effect of fluorophore orientation using circular permutation. Orientation changed the FRET readout in a strongly module-dependent manner, demonstrating that changes in signal cannot be interpreted solely on the basis of donor–acceptor distance.

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At the sub-FA level, this translated into clear differences in spatial readout. Vinculin tension increased from proximal to distal regions of peripheral adhesions and exceeded ~10-15 pN, as revealed by CC-S2. Best spatial gradient, once again, resolved by binary-response sensors FL and CC-S2.

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Largest differences emerged when comparing mechanical sensor modules. Among the six modules tested, the binary-response FL and CC-S2 showed the clearest separation between loaded and unloaded states and the broadest FRET distributions, indicating a higher capacity to resolve vinculin tension.

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We then compared different donor–acceptor pairs within the same sensor architecture. Clover–mScarlet-I produced the highest unloaded FRET, whereas Clover–mRuby2 resulted in very low apparent FRET values and large spread in data, possibly linked to the inefficient maturation of mRuby2.

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However, when the same constructs were analyzed using FLIM versus sensitized-emission FRET, the measured efficiencies shifted, and importantly, the magnitude of that shift depended on the construct. This shows that even the unloaded reference state is not universal.

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We first compared multiple no-tension unloaded constructs, including tailless control, actin-binding mutant, C-terminal control and cytosol-localized module. All showed higher FRET than VinTS, confirming that the sensor reports force-induced changes across FAs.

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To address this, we avoided cross-study comparisons and kept the sample preparation, imaging parameters and analysis pipeline identical, and varied only the sensor design. This allowed us to directly isolate how individual design parameters influence the measured FRET readout.

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Part of the difficulty is that there is no single “standard” tension sensor. Different designs use different fluorophores, linkers, force regimes, sensitivities...Some respond gradually, others almost like a switch. Even imaging modality varies (intensity vs FLIM), and results are not comparable.

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Despite the strong interest in this technology, much of the literature still comes from a small number of groups with long-standing expertise, raising an important question of how transferable across different labs this technique is, and how can we make it easier for those who want to implement it.

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FRET-based tension sensors are one of the few approaches that allow to reveal pN-scale forces across specific proteins in living cells. They've been applied across many systems, but when you start comparing results across studies, numbers often do not align, even in similar biological conditions.

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From Sensor Design to Force Maps: A Systematic Evaluation of FRET-based Vinculin Tension Sensors Mechanical forces transmitted through focal adhesions regulate cell behavior and disease progression, yet remain difficult to quantify at the molecular level. Genetically encoded FRET-based tension probes enable measurements of piconewton-scale forces across specific proteins in living cells, but their quantitative interpretation is highly sensitive to probe design and measurement modality. Here, we systematically compared vinculin tension sensors under identical experimental conditions, evaluating unloaded reference constructs, fluorophore pairs, mechanical sensor modules, and circularly permuted variants. Unloaded controls established a common no-force baseline and validated force-dependent readout. Among the fluorophore pairs tested, the green-red combination Clover-mScarlet-I yielded a higher unloaded FRET efficiency and hence a broader measurable dynamic range. Comparison of six mechanical sensor modules identified the binary-response sensors FL and CC-S2 as the most responsive, showing the largest force-dependent FRET changes and broadest FRET distributions. At the sub-focal adhesion level, CC-S2 reported the steepest proximal-to-distal tension gradient, indicating that vinculin tension increases sharply along peripheral adhesions and exceeds 10 piconewton. Circular permutation experiments revealed that fluorophore orientation has a strong, module-dependent influence on the measured FRET readout. Together, these results establish a comparative framework for interpreting FLIM-based vinculin tension measurements and provide practical design principles for selecting and engineering molecular tension probes. ### Competing Interest Statement The authors have declared no competing interest. Research Foundation - Flanders, https://ror.org/03qtxy027, G0C2422N, G0A8L24N, G0B9922N, 1S95125N KU Leuven, C14/22/085

🔬New preprint out!

In this study, we systematically compare FRET-based tension sensors to understand how sensor design and measurement modality shape the FRET readout, and how this impacts the resolution of molecular tension measurements in cells.
Enjoy the read!
www.biorxiv.org/content/10.6...

3 weeks ago 1 0 1 0

Check out the latest development for DNA-PAINT technology, from none other than the leading Jungmann(s). Such an exciting field!

2 months ago 1 0 0 0

Our latest work on directional DNA hairpin 🧬 unzipping and mechanical anisotropy is out! Same sequence, different mechanical properties! By sequence design we can turn a classic two state folder into a soft, compliant molecule 🧸 that visit a stable transient ensemble! Have fun with the box!📦

3 months ago 5 1 0 0

Mark your calendars! Mechanobiology event of the year is around the corner. Can’t wait to return to beautiful Barcelona and reconnect with my old colleagues from IBEC.

5 months ago 4 1 0 0
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Mechanochemical waves in focal adhesions during cell migration Traction force and FAK signaling exhibit oscillatory temporal coupling in adhesive structures.

Garcia Lab did it again! Such a fantastic read if you are interested in FAs mechanics and biology. Congratulations to @garcialabgt.bsky.social

6 months ago 13 7 0 1
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Still buzzing after the @cellmech2025.bsky.social conference in Leuven!
It was great to connect with so many experts in mechanobiology and to be part of this close, dynamic community. We enjoyed the inspiring talks and left with plenty of new ideas.💡
Already looking forward to the next edition!

6 months ago 13 2 0 0

Interested in how cells respond when squeezed? Check the review paper just published by Laura Faure, @valeriaventurini.bsky.social and myself on this. Really thorough and clear revision by Laura and Valeria!

1 year ago 41 18 0 0
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Always an honor to hear @johannaivaska.bsky.social share her insights, this time on how composite ECM components influence cell behavior, and how fibronectin-dense regions affect (or not) YAP/Oct-1 localization. An inspiring talk from an inspiring scientist. @cellmech2025.bsky.social.

6 months ago 5 1 0 0
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Great experience presenting my work at @cellmech2025.bsky.social, where I shared how TFM and FRET sensors reveal the relationship between cellular tractions and focal adhesion tension. Sacrificed the food and drinks, but the (rather intense) discussions made up for it 💪🏻

6 months ago 8 1 0 0
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Exciting week ahead! @cellmech2025.bsky.social is looking truly incredible and we are happy to be here as @rochalab.bsky.social. Let’s share some quality science! 🔬

6 months ago 5 3 0 0
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Mechano-osmotic signals control chromatin state and fate transitions in pluripotent stem cells - Nature Cell Biology McCreery, Stubb et al. show that mechano-osmotic changes in the nucleus induce general transcriptional repression and prime chromatin for cell fate transitions by relieving repression of specific differentiation genes.

How do #stemcells integrate information to coordinate fate decisions? Delighted to finally see our work showing how growth factors regulate the mechano-osmotic state of the #nucleus and #chromatin to control #pluripotency exit out! www.nature.com/articles/s41... see 🧵 👇

6 months ago 173 74 10 2
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Very happy to see our preprint on how the mechanosensitive ion channel Piezo1 controls intercellular junction maturation by balancing cortex and membrane tension now published in @jcellsci.bsky.social Congratulations to Ahsan & team! journals.biologists.com/jcs/article/...

8 months ago 115 33 1 1

Huge respect for this technically wild study from the Oakes lab👏
Combining laser ablation, TFM, vinculin tension probes, optogenetics and FRAP, they show that the recruitment of zyxin & paxillin, but not of vinculin and its tension, correlate with local tension changes. Interesting and challenging!

9 months ago 0 0 0 0
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How to turn a layer of fibroblasts into a tulip 🌷?

Check out our new pre-print on shape-programmable living surfaces.

Led by @pauguillamat.bsky.social‬

www.biorxiv.org/content/10.1...

9 months ago 117 29 4 0

Thanks Isaac, it’s very nice of you! It’s almost there :))

9 months ago 1 0 0 0

Congratulations! Such a clever and simple approach. Would definitely like to give it a try!

9 months ago 1 0 1 0

One major drawback of DNA force sensors is their super short lifetime—making them rather unsuitable for most bio studies. Huge congrats (and thanks) to isaacli.bsky.social’s team for solving one more problem for the field! Looks like it’s time to image some integrin forces 😎

9 months ago 0 0 0 0
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Super-resolution imaging in whole cells and tissues via DNA-PAINT on a spinning disk confocal with optical photon reassignment - Nature Communications Zaza and colleagues demonstrate that DNA-PAINT on a spinning disk confocal microscope with optical photon reassignment enables high-resolution imaging across large fields and imaging depths, resolving...

Can we break past the usual limits of #SuperResolution #Microscopy—achieving deep-imaging, high-res, large FOV imaging without the trade-offs?
🧬🔬 YES: with #DNA_PAINT + Spinning Disk Confocal + Optical Photon Reassignment (#SDC-OPR)!
📄 www.nature.com/articles/s41... @natcomms.nature.com!
🧵👇

10 months ago 29 9 1 0
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Fibrous polyisocyanide hydrogels for 3D cell culture applications - Nature Protocols Methods to use polyisocyanide as a model matrix for 3D cell culture. Polyisocyanide gels closely mimic the physical properties of biogels such as collagen and fibrin and, as fully synthetic materials,...

Hydrogels are essential in mechanobiology—and PIC is a game changer.
Fully synthetic yet highly biomimetic, PIC opens new possibilities for 3D cell culture applications.
Congrats to Hongbo Yuan, Kouwer Lab, and rochalab.bsky.social on this detailed Nature Protocols guide! 👏📜

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