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PXD066067-1

PXD066067 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMechano-ID: proximity labeling of mechanically active receptors and cells
DescriptionA major challenge in the field of mechanobiology relates to the lack of methods that enable identification of mechanically active cells and force transmitting receptors for subsequent biochemical analysis. For example, potent T cell activation requires the transmission of biophysical forces between the T cell receptor (TCR) and its peptide-loaded major histocompatibility complex (pMHC) antigens. Therefore, methods that can chemically tag mechanically active T cells and TCRs are highly desirable, as these techniques will 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 and this is further confirmed using western blotting of mechanically active T cell receptors.
HostingRepositoryPRIDE
AnnounceDate2025-09-26
AnnouncementXMLSubmission_2025-09-26_10:04:21.361.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterDavid Gordon
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListacetylated residue; deamidated residue; iodoacetamide derivatized residue
InstrumenttimsTOF Pro 2
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-07-11 10:05:33ID requested
12025-09-26 10:04:21announced
Publication List
10.1021/JACS.5C05203;
Keyword List
submitter keyword: TCR force,T cell receptor, proximity labeling, DNA tension probes
Contact List
Khalid Salaita
contact affiliationDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University Department of Chemistry, Emory University
contact emailk.salaita@emory.edu
lab head
David Gordon
contact affiliationEmory University
contact emaildavid.ezra.gordon@emory.edu
dataset submitter
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Dataset FTP location
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