Evidence map›Paper›PMID 27088908›Full record

ReviewImmunological reviews2016

Hematopoiesis and T-cell specification as a model developmental system.

Ellen V Rothenberg, Hao Yuan Kueh, Mary A Yui, Jingli A Zhang

Abstract readReview
In one paragraph

Review in Immunological reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Generation of CD34Cells · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. PTEN in Regulating Hematopoiesis and Leukemogenesis.Cold Spring Harbor perspectives in medicine · 2020
    Review
  11. Article
  12. PHF6 Expression Levels Impact Human Hematopoietic Stem Cell Differentiation.Frontiers in cell and developmental biology · 2020
    Article
  13. Article
  14. Review
  15. Review
  16. Causal Gene Regulatory Network Modeling and Genomics: Second-Generation Challenges.Journal of computational biology : a journal of computational molecular cell biology · 2019
    Article
  17. Article
  18. Review
  19. Article
  20. 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.

Ellen V RothenbergDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Hao Yuan KuehDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Mary A YuiDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Jingli A ZhangDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.

Funding

LINEAGE COMMITMENT MECHANISMS IN LYMPHOID PRECURSORSR01CA090233 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2001 to 2011
$3.9M
Kinetic modeling and single-cell molecular mechanisms of early T-cell commitmentR01HL119102 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PETERSON, CARSTEN, ROTHENBERG, ELLEN V. · 2014 to 2018
$3.0M
Genomic site binding rules and regulatory factor function in developing T cellsR01HD076915 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2013 to 2017
$2.5M
Key nodes in the T-cell developmental gene regulatory networkR01AI095943 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2011 to 2015
$2.0M
Early T cell checkpoint violation in NOD miceR01AI064590 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI YUI, MARY A · 2006 to 2010
$1.9M
Bcl11b in early T cell developmentR01AI083514 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2011 to 2015
$1.8M
Dynamic Epigenetic Mapping of a Stem Cell Differentiation ChoiceRC2CA148278 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V., WOLD, BARBARA J · 2009 to 2010
$1.6M
Single-cell analysis of immune cell fate decision makingR00HL119638 · NHLBI · UNIVERSITY OF WASHINGTON · PI KUEH, HAO YUAN · 2016 to 2018
$747k
Single cell analysis of hematopoietic cell fate determinationK99HL119638 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI KUEH, HAO YUAN · 2014 to 2015
$180k
NCI NIH HHS R01 CA090233NCI NIH HHS R01CA90233NCI NIH HHS RC2 CA148278NCI NIH HHS RC2CA148278NHLBI NIH HHS K99 HL119638NHLBI NIH HHS K99HL119638ANHLBI NIH HHS R00 HL119638NHLBI NIH HHS R01 HL119102NHLBI NIH HHS R01HL119102NIAID NIH HHS R01 AI064590NIAID NIH HHS R01AI064590NIAID NIH HHS R01 AI083514NIAID NIH HHS R01AI083514NIAID NIH HHS R01 AI095943NIAID NIH HHS R01AI095943NICHD NIH HHS R01 HD076915NICHD NIH HHS R01HD076915
6 · The paper itself

Abstract

The pathway to generate T cells from hematopoietic stem cells guides progenitors through a succession of fate choices while balancing differentiation progression against proliferation, stage to stage. Many elements of the regulatory system that controls this process are known, but the requirement for multiple, functionally distinct transcription factors needs clarification in terms of gene network architecture. Here, we compare the features of the T-cell specification system with the rule sets underlying two other influential types of gene network models: first, the combinatorial, hierarchical regulatory systems that generate the orderly, synchronized increases in complexity in most invertebrate embryos; second, the dueling 'master regulator' systems that are commonly used to explain bistability in microbial systems and in many fate choices in terminal differentiation. The T-cell specification process shares certain features with each of these prevalent models but differs from both of them in central respects. The T-cell system is highly combinatorial but also highly dose-sensitive in its use of crucial regulatory factors. The roles of these factors are not always T-lineage-specific, but they balance and modulate each other's activities long before any mutually exclusive silencing occurs. T-cell specification may provide a new hybrid model for gene networks in vertebrate developmental systems.

Indexed as

Cell DifferentiationHematopoiesisAnimalsCell LineageGene Expression Regulation, DevelopmentalGene Regulatory NetworksHematopoietic Stem CellsHumansImmune SystemModels, BiologicalT-Lymphocytescommitmentgene regulatory networkslineage hierarchytranscription factors

Identifiers

PMID27088908
PMCPMC4837658

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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.