Evidence map›Paper›PMID 20080641›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets.

Chunlin Wang, Catherine M Sanders, Qunying Yang, Harry W Schroeder, Elijah Wang, Farbod Babrzadeh, Baback Gharizadeh, Richard M Myers, James R Hudson, Ronald W Davis and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.

0numbers the graph read from it
0cells of the map it votes in
169citing 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

169 citing papers in PubMed.

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  16. Human TCR repertoire in cancer.Cancer medicine · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article

109 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

11 authors.

Chunlin WangStanford Genome Technology Center, Palo Alto, CA 94304, USA.
Catherine M Sanders
Qunying Yang
Harry W Schroeder
Elijah Wang
Farbod Babrzadeh
Baback Gharizadeh
Richard M Myers
James R Hudson
Ronald W Davis
Jian Han

Funding

The role of Immunoglobulin CDRH3 in Autoimmune DiseaseR01AI048115 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SCHROEDER, HARRY WILLIAM · 2000 to 2010
$3.1M
HLA*B Associated Genes and Memory B cells in patients with CVIDR21AI079741 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SCHROEDER, HARRY WILLIAM · 2008 to 2009
$571k
NIAID NIH HHS R01 AI048115NIAID NIH HHS R21 AI079741
6 · The paper itself

Abstract

Developing T cells face a series of cell fate choices in the thymus and in the periphery. The role of the individual T cell receptor (TCR) in determining decisions of cell fate remains unresolved. The stochastic/selection model postulates that the initial fate of the cell is independent of TCR specificity, with survival dependent on additional TCR/coreceptor "rescue" signals. The "instructive" model holds that cell fate is initiated by the interaction of the TCR with a cognate peptide-MHC complex. T cells are then segregated on the basis of TCR specificity with the aid of critical coreceptors and signal modulators [Chan S, Correia-Neves M, Benoist C, Mathis (1998) Immunol Rev 165: 195-207]. The former would predict a random representation of individual TCR across divergent T cell lineages whereas the latter would predict minimal overlap between divergent T cell subsets. To address this issue, we have used high-throughput sequencing to evaluate the TCR distribution among key T cell developmental and effector subsets from a single donor. We found numerous examples of individual subsets sharing identical TCR sequence, supporting a model of a stochastic process of cell fate determination coupled with dynamic patterns of clonal expansion of T cells bearing the same TCR sequence among both CD4(+) and CD8+ populations.

Indexed as

Amino Acid SequenceCell DifferentiationCell LineageHumansReceptors, Antigen, T-CellT-Lymphocyte SubsetsReceptors, Antigen, T-Cell

Identifiers

PMID20080641
PMCPMC2824416

What OpenQuestion holds

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Registered trials

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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.