Evidence map›Paper›PMID 31391300›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

DNA probes that store mechanical information reveal transient piconewton forces applied by T cells.

Rong Ma, Anna V Kellner, Victor Pui-Yan Ma, Hanquan Su, Brendan R Deal, Joshua M Brockman, Khalid Salaita

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

76 citing papers in PubMed, 133 citations in OpenAlex.

  1. Article
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  5. A nanoscale Jitterbug transformer from DNA.Nature communications · 2026
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  10. Programming DNA machines to move.Nature reviews. Chemistry · 2026
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  20. Review

16 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Rong MaDepartment of Chemistry, Emory University, Atlanta, GA 30322.
Anna V KellnerWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332.
Victor Pui-Yan MaDepartment of Chemistry, Emory University, Atlanta, GA 30322.
Hanquan SuDepartment of Chemistry, Emory University, Atlanta, GA 30322.
Brendan R DealDepartment of Chemistry, Emory University, Atlanta, GA 30322.
Joshua M BrockmanWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332.
Khalid SalaitaDepartment of Chemistry, Emory University, Atlanta, GA 30322; k.salaita@emory.edu.
Emory University · USGeorgia Institute of Technology · USThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

Molecular imaging technologies for mechanobiologyR01GM131099 · NIGMS · EMORY UNIVERSITY · PI MATTHEYSES, ALEXA LYNN, SALAITA, KHALID S. · 2019 to 2022
$1.6M
Developing a Bioanalytical Toolkit to Study the Mechanobiology of Juxtacrine SignalingR01GM124472 · NIGMS · EMORY UNIVERSITY · PI SALAITA, KHALID S. · 2017 to 2020
$1.5M
T Cell Receptor Forces: From Molecular Mapping to Cancer Therapeutic TriggeringF99CA234959 · NCI · EMORY UNIVERSITY · PI BROCKMAN, JOSHUA MARK · 2018 to 2019
$91k
Enabling technologies to study how mechanics influence T cell function at the molecular and cellular levelsF99CA223074 · NCI · EMORY UNIVERSITY · PI MA, PUI-YAN VICTOR · 2017 to 2018
$90k
NCI NIH HHS F99 CA223074NCI NIH HHS F99 CA234959NIGMS NIH HHS R01 GM124472NIGMS NIH HHS R01 GM131099
6 · The paper itself

Abstract

The advent of molecular tension probes for real-time mapping of piconewton forces in living systems has had a major impact on mechanobiology. For example, DNA-based tension probes have revealed roles for mechanics in platelet, B cell, T cell, and fibroblast function. Nonetheless, imaging short-lived forces transmitted by low-abundance receptors remains a challenge. This is a particular problem for mechanoimmunology where ligand-receptor bindings are short lived, and a few antigens are sufficient for cell triggering. Herein, we present a mechanoselection strategy that uses locking oligonucleotides to preferentially and irreversibly bind DNA probes that are mechanically strained over probes at rest. Thus, infrequent and short-lived mechanical events are tagged. This strategy allows for integration and storage of mechanical information into a map of molecular tension history. Upon addition of unlocking oligonucleotides that drive toehold-mediated strand displacement, the probes reset to the real-time state, thereby erasing stored mechanical information. As a proof of concept, we applied this strategy to study OT-1 T cells, revealing that the T cell receptor (TCR) mechanically samples antigens carrying single amino acid mutations. Such events are not detectable using conventional tension probes. Each mutant peptide ligand displayed a different level of mechanical sampling and spatial scanning by the TCR that strongly correlated with its functional potency. Finally, we show evidence that T cells transmit pN forces through the programmed cell death receptor-1 (PD1), a major target in cancer immunotherapy. We anticipate that mechanical information storage will be broadly useful in studying the mechanobiology of the immune system.

Indexed as

AntigensDNA ProbesMechanotransduction, CellularPeptidesReceptors, Antigen, T-CellT-LymphocytesCell LineHumansMutationAntigensDNA ProbesPeptidesReceptors, Antigen, T-CellPD1receptor mechanicsTCRtension sensor

Identifiers

PMID31391300
PMCPMC6708336
OpenAlexW2965645347

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.