Evidence map›Paper›PMID 33103827›Full record

ArticleThe EMBO journal2020

Interactions between lineage-associated transcription factors govern haematopoietic progenitor states.

Iwo Kucinski, Nicola K Wilson, Rebecca Hannah, Sarah J Kinston, Pierre Cauchy, Aurelie Lenaerts, Rudolf Grosschedl, Berthold Göttgens

Open access · hybridAbstract read
In one paragraph

Article in The EMBO journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Iwo KucinskiWellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.ORCID 0000-0002-9385-0359
Nicola K WilsonWellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
Rebecca HannahWellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
Sarah J KinstonWellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
Pierre CauchyDepartment of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
Aurelie LenaertsDepartment of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
Rudolf GrosschedlDepartment of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.ORCID 0000-0002-0058-1250
Berthold GöttgensWellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.ORCID 0000-0001-6302-5705
Wellcome/MRC Cambridge Stem Cell Institute · GBMax Planck Institute of Immunobiology and Epigenetics · DE

Funding

VISION: ValIdated Systematic IntegratiON of epigenomic dataR24DK106766 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI BLOBEL, GERD A, BODINE, DAVID M. · 2016 to 2020
$6.2M
Blood Cancer UK 18002Cancer Research UK 21762Medical Research Council MC_PC_12009Medical Research Council MR/S036113/1NIDDK NIH HHS R24 DK106766Wellcome Trust
6 · The paper itself

Abstract

Recent advances in molecular profiling provide descriptive datasets of complex differentiation landscapes including the haematopoietic system, but the molecular mechanisms defining progenitor states and lineage choice remain ill-defined. Here, we employed a cellular model of murine multipotent haematopoietic progenitors (Hoxb8-FL) to knock out 39 transcription factors (TFs) followed by RNA-Seq analysis, to functionally define a regulatory network of 16,992 regulator/target gene links. Focussed analysis of the subnetworks regulated by the B-lymphoid TF Ebf1 and T-lymphoid TF Gata3 revealed a surprising role in common activation of an early myeloid programme. Moreover, Gata3-mediated repression of Pax5 emerges as a mechanism to prevent precocious B-lymphoid differentiation, while Hox-mediated activation of Meis1 suppresses myeloid differentiation. To aid interpretation of large transcriptomics datasets, we also report a new method that visualises likely transitions that a progenitor will undergo following regulatory network perturbations. Taken together, this study reveals how molecular network wiring helps to establish a multipotent progenitor state, with experimental approaches and analysis tools applicable to dissecting a broad range of both normal and perturbed cellular differentiation landscapes.

Indexed as

AnimalsCell DifferentiationCell LineageEpigenomicsGATA3 Transcription FactorHematopoiesisHematopoietic Stem Cell TransplantationHematopoietic SystemMiceMyeloid Ecotropic Viral Integration Site 1 ProteinPAX5 Transcription FactorPrecursor Cells, B-LymphoidTranscription FactorsGata3 protein, mouseGATA3 Transcription FactorMeis1 protein, mouseMyeloid Ecotropic Viral Integration Site 1 ProteinPax5 protein, mousePAX5 Transcription FactorTranscription FactorshaematopoiesisnetworkprogenitorsscRNA-Seqtranscription factor

Identifiers

PMID33103827
PMCPMC7737608
OpenAlexW3094603415

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.