Evidence map›Paper›PMID 34127826›Full record

ArticleGenes and immunity2021

Reconstituting T cell receptor selection in-silico.

Jared Ostmeyer, Lindsay Cowell, Benjamin Greenberg, Scott Christley

Abstract read
PubMed Publisher
In one paragraph

Article in Genes and immunity, 2021. 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
0.2field-weighted citation impact, top 50% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

4 authors at 1 institution in 1 country.

Jared OstmeyerDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA. Jared.Ostmeyer@UTSouthwestern.edu.ORCID http://orcid.org/0000-0003-0405-6987
Lindsay CowellDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA.
Benjamin GreenbergDepartment of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-2091-8201
Scott ChristleyDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA.
Southwestern Medical Center · US

Funding

RepServer: Antigen Receptor Repertoire Analysis Pipelines via the WWWR01AI097403 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI COWELL, LINDSAY G. · 2012 to 2016
$3.2M
NIAID NIH HHS R01 AI097403
6 · The paper itself

Abstract

Each T cell receptor (TCR) gene is created without regard for which substances (antigens) the receptor can recognize. T cell selection culls developing T cells when their TCRs (i) fail to recognize major histocompatibility complexes (MHCs) that act as antigen presenting platforms or (ii) recognize with high affinity self-antigens derived from healthy cells and tissue. While T cell selection has been thoroughly studied, little is known about which TCRs are retained or removed by this process. Therefore, we develop an approach using TCR gene sequencing and machine learning to identify patterns in TCR protein sequences influencing the outcome of T cell receptor selection. We verify the trained models classify TCRs from developing T cells as being before selection and TCRs from mature T cells as being after selection. Our approach may provide future avenues for studying the relationship between T cell selection and conditions like autoimmune diseases.

Indexed as

Lymphocyte ActivationReceptors, Antigen, T-CellHistocompatibility AntigensMajor Histocompatibility ComplexT-LymphocytesHistocompatibility AntigensReceptors, Antigen, T-Cell

Identifiers

PMID34127826
OpenAlexW3171254020

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.