Mechano-ID: Proximity Labeling of Mechanically Active Receptors Reveals the Mechanome and Tags Mechanically Active Cells

A major challenge in the field of mechanobiology relates to the lack of methods that enable the identification of mechanically active receptors, associated proteins, and the individual cells that display enhanced force generation. For example, potent T cell activation requires the transmission of biophysical forces between the T cell receptor (TCR) and its peptide-loaded major histocompatibility (pMHC) complex antigens. Interestingly, TCR-antigen interactions are highly dynamic, displaying a broad range of force magnitudes between different cells and even within the same cell. Therefore, methods that can chemically tag mechanically active T cells, TCRs, and their associated proteomes, or mechanomes are highly desirable. Such techniques may enable a deeper understanding of the mechanisms governing immune responses and may also have broad applications in immunotherapy. Herein, we report a technique dubbed mechano-ID, which allows for mechanically selective proximity tagging by leveraging DNA-based molecular force probes that recruit proximity tagging enzymes. We demonstrate mechano-ID tagging of T cells using microscopy and flow cytometry, with further confirmation by proteomics and Western blotting of mechanically active T cell receptors.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2025-09-26
DOI
https://doi.org/10.1021/jacs.5c05203
Primary Topic
Cellular Mechanics and Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechano-ID: Proximity Labeling of Mechanically Active Receptors Reveals the Mechanome and Tags Mechanically Active Cells

Brendan R. Deal, Mehdi Rahman, Khalid Salaita, David E. Gordon et al.
Journal of the American Chemical Society
Cellular Mechanics and Interactions
article

Mechano-ID: Proximity Labeling of Mechanically Active Receptors Reveals the Mechanome and Tags Mechanically Active Cells

Brendan R. Deal, Mehdi Rahman, Khalid Salaita, David E. Gordon, Christian M. Beusch, Rong Ma
article en

Abstract

A major challenge in the field of mechanobiology relates to the lack of methods that enable the identification of mechanically active receptors, associated proteins, and the individual cells that display enhanced force generation. For example, potent T cell activation requires the transmission of biophysical forces between the T cell receptor (TCR) and its peptide-loaded major histocompatibility (pMHC) complex antigens. Interestingly, TCR-antigen interactions are highly dynamic, displaying a broad range of force magnitudes between different cells and even within the same cell. Therefore, methods that can chemically tag mechanically active T cells, TCRs, and their associated proteomes, or mechanomes are highly desirable. Such techniques may enable a deeper understanding of the mechanisms governing immune responses and may also have broad applications in immunotherapy. Herein, we report a technique dubbed mechano-ID, which allows for mechanically selective proximity tagging by leveraging DNA-based molecular force probes that recruit proximity tagging enzymes. We demonstrate mechano-ID tagging of T cells using microscopy and flow cytometry, with further confirmation by proteomics and Western blotting of mechanically active T cell receptors.

Journal of the American Chemical SocietyVol. 147(40)
Uppsala University (SE), Emory University (US), The Wallace H. Coulter Department of Biomedical Engineering (US), Université Bourgogne Franche-Comté (FR)
Openalex Percentile: Top 72%
Cellular Mechanics and Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.