Evidence map›Paper›PMID 39805005›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Digital and Tunable Genetically Encoded Tension Sensors Based on Engineered Coiled-Coils.

Shuhong Liu, Jinchan Liu, Alexander Foote, Hiroaki Ogasawara, Sarah Al Abdullatif, Victor S Batista, Khalid Salaita

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Stress transmission towards the nucleus of the cell.Frontiers in cell and developmental biology · 2026
    Review
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuhong LiuDepartment of Chemistry, Emory University, Atlanta, Georgia, 30322, United States.ORCID https://orcid.org/0000-0001-7170-7458
Jinchan LiuDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, 06520, United States.ORCID https://orcid.org/0000-0003-2217-1233
Alexander FooteDepartment of Chemistry, Emory University, Atlanta, Georgia, 30322, United States.
Hiroaki OgasawaraDepartment of Chemistry, Emory University, Atlanta, Georgia, 30322, United States.ORCID https://orcid.org/0000-0001-8462-562X
Sarah Al AbdullatifDepartment of Chemistry, Emory University, Atlanta, Georgia, 30322, United States.
Victor S BatistaDepartment of Chemistry, Yale University, New Haven, Connecticut, 06520, United States.
Khalid SalaitaDepartment of Chemistry, Emory University, Atlanta, Georgia, 30322, United States.ORCID https://orcid.org/0000-0003-4138-3477

Funding

Equipment Supplement: Cell sorting flow cytometry to support the BTDDRM1GM145394 · NIGMS · EMORY UNIVERSITY · PI Khalid S. Salaita · 2023 to 2026
$5.6M
Mechano-ID for tagging immune cellsR01AI172452 · NIAID · EMORY UNIVERSITY · PI Khalid S. Salaita · 2023 to 2026
$1.4M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases R01AI172452NIAID NIH HHS R01 AI172452NIGMS NIH HHS 1RM1GM145394NIGMS NIH HHS RM1 GM145394
6 · The paper itself

Abstract

Genetically encoded tension sensors (GETSs) allow for quantifying forces experienced by intracellular proteins involved in mechanotransduction. The vast majority of GETSs are comprised of a FRET pair flanking an elastic "spring-like" domain that gradually extends in response to force. Because of ensemble averaging, the FRET signal generated by such analog sensors conceals forces that deviate from the average, and hence it is unknown if a subset of proteins experience greater magnitudes of force. We address this problem by developing digital GETSs comprised of coiled-coils (CCs) with tunable mechanical thresholds. We validate the mechanical response of CC digital probes using thermodynamic stability prediction, AlphaFold2 modeling, steered molecular dynamics simulations, and single-molecule force spectroscopy. Live cell measurements using optimized CC tension sensors that are inserted into vinculin demonstrate that 13 % of this mechanosensor experiences forces >9.9 pN within focal adhesions. This reveals greater magnitudes of vinculin force than had previously been reported and demonstrates that CC tension sensors enable more facile and precise tension measurements in living systems.

Indexed as

Biosensing TechniquesProtein EngineeringVinculinFluorescence Resonance Energy TransferHumansMechanotransduction, CellularMolecular Dynamics SimulationThermodynamicsVinculinbiophysicsbiosensorsFRETprotein engineering

Identifiers

PMID39805005
PMCPMC12188637

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.