Evidence map›Paper›PMID 38076892›Full record

ArticlebioRxiv : the preprint server for biology2023

Parsing digital or analogue TCR performance through piconewton forces.

Aoi Akitsu, Eiji Kobayashi, Yinnian Feng, Hannah M Stephens, Kristine N Brazin, Daniel J Masi, Evan H Kirpatrick, Robert J Mallis, Jonathan S Duke-Cohan, Matthew A Booker and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Yinnian Feng
Hannah M Stephens
Kristine N Brazin
Daniel J Masi
Evan H Kirpatrick
Robert J Mallis
Jonathan S Duke-Cohan
Matthew A Booker
Elizabeth L Holliday
Jonathan J Lee
Katarzyna J Zienkiewicz
Michael Y Tolstorukov
Matthew J Lang

Funding

Protein Production CoreP01AI143565 · NIAID · DANA-FARBER CANCER INST · PI Matthew J. Lang, ELLIS L REINHERZ · 2020 to 2026
$19.9M
Understanding the structural basis of T cell receptor (TCR) and preTCR mechanosensing: single molecule, NMR and molecular dynamics studiesR01AI136301 · NIAID · VANDERBILT UNIVERSITY · PI LANG, MATTHEW J. · 2018 to 2022
$3.9M
NIAID NIH HHS P01 AI143565NIAID NIH HHS R01 AI136301
6 · The paper itself

Abstract

αβ T-cell receptors (TCRs) recognize aberrant peptides bound to major histocompatibility complex molecules (pMHCs) on unhealthy cells, amplifying specificity and sensitivity through physical load placed on the TCR-pMHC bond during immunosurveillance. To understand this mechanobiology, TCRs stimulated by abundantly and sparsely arrayed epitopes (NP One Sentence Summary: Quality of ligand recognition in a T-cell repertoire is revealed through application of physical load on clonal T-cell receptor (TCR)-pMHC bonds.

Identifiers

PMID38076892
PMCPMC10705438

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.