Evidence map›Paper›PMID 23644507›Full record

ArticleNature immunology2013

The transcriptional landscape of αβ T cell differentiation.

Michael Mingueneau, Taras Kreslavsky, Daniel Gray, Tracy Heng, Richard Cruse, Jeffrey Ericson, Sean Bendall, Matthew H Spitzer, Garry P Nolan, Koichi Kobayashi and 52 more

Open access · greenAbstract read
In one paragraph

Article in Nature immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed
6.5field-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

181 citing papers in PubMed, 108 citations in OpenAlex.

  1. Trial
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  10. Food for thought: Nutrient metabolism controlling early T cell development.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  11. Article
  12. Transcriptional network dynamics in early T cell development.The Journal of experimental medicine · 2024
    Review
  13. Thymic epithelial organoids mediate T-cell development.Development (Cambridge, England) · 2024
    Article
  14. Stabilization of β-Catenin Directs HEB to Limit Thymic Selection.Journal of immunology (Baltimore, Md. : 1950) · 2024
    Article
  15. Article
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121 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

62 authors at 1 institution in 1 country.

Michael MingueneauDivision of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA.
Taras Kreslavsky
Daniel Gray
Tracy Heng
Richard Cruse
Jeffrey Ericson
Sean Bendall
Matthew H Spitzer
Garry P Nolan
Koichi Kobayashi
Harald von Boehmer
Diane Mathis
Christophe Benoist
Immunological Genome Consortium
Adam J Best
Jamie Knell
Ananda Goldrath
Vladimir Joic
Daphne Koller
Tal Shay
Aviv Regev
Nadia Cohen
Patrick Brennan
Michael Brenner
Francis Kim
Tata Nageswara Rao
Amy Wagers
Tracy Heng
Jeffrey Ericson
Katherine Rothamel
Adriana Ortiz-Lopez
Diane Mathis
Christophe Benoist
Natalie A Bezman
Joseph C Sun
Gundula Min-Oo
Charlie C Kim
Lewis L Lanier
Jennifer Miller
Brian Brown
Miriam Merad
Emmanuel L Gautier
Claudia Jakubzick
Gwendalyn J Randolph
Paul Monach
David A Blair
Michael L Dustin
Susan A Shinton
Richard R Hardy
David Laidlaw
Jim Collins
Roi Gazit
Derrick J Rossi
Nidhi Malhotra
Katelyn Sylvia
Joonsoo Kang
Taras Kreslavsky
Anne Fletcher
Kutlu Elpek
Angelique Bellemare-Pelletier
Deepali Malhotra
Shannon Turley
Harvard University · US

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
ImmGen: Gene Expression and Regulation in Immune CellsR24AI072073 · NIAID · JOSLIN DIABETES CENTER · PI CHRISTOPHE O. BENOIST · 2007 to 2026
$28.5M
Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
NIAID NIH HHS AI072073NIAID NIH HHS R24 AI072073NIDDK NIH HHS P30 DK026743NIDDK NIH HHS P30 DK063720
6 · The paper itself

Abstract

The differentiation of αβT cells from thymic precursors is a complex process essential for adaptive immunity. Here we exploited the breadth of expression data sets from the Immunological Genome Project to analyze how the differentiation of thymic precursors gives rise to mature T cell transcriptomes. We found that early T cell commitment was driven by unexpectedly gradual changes. In contrast, transit through the CD4(+)CD8(+) stage involved a global shutdown of housekeeping genes that is rare among cells of the immune system and correlated tightly with expression of the transcription factor c-Myc. Selection driven by major histocompatibility complex (MHC) molecules promoted a large-scale transcriptional reactivation. We identified distinct signatures that marked cells destined for positive selection versus apoptotic deletion. Differences in the expression of unexpectedly few genes accompanied commitment to the CD4(+) or CD8(+) lineage, a similarity that carried through to peripheral T cells and their activation, demonstrated by mass cytometry phosphoproteomics. The transcripts newly identified as encoding candidate mediators of key transitions help define the 'known unknowns' of thymocyte differentiation.

Indexed as

AnimalsAntigens, CDAntigens, Differentiation, T-LymphocyteCD4-Positive T-LymphocytesCD69 AntigensCD8-Positive T-LymphocytesCell DifferentiationCell LineageCell ProliferationCells, CulturedCluster AnalysisFlow CytometryHistocompatibility AntigensLectins, C-TypeMaleMiceAntigens, CDAntigens, Differentiation, T-LymphocyteCD69 AntigensHistocompatibility AntigensLectins, C-TypeReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID23644507
PMCPMC3660436
OpenAlexW1560172845

What OpenQuestion holds

Textmetadata
LicenceTDM
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.