Evidence map›Paper›PMID 28319093›Full record

ArticleNature cell biology2017

Human haematopoietic stem cell lineage commitment is a continuous process.

Lars Velten, Simon F Haas, Simon Raffel, Sandra Blaszkiewicz, Saiful Islam, Bianca P Hennig, Christoph Hirche, Christoph Lutz, Eike C Buss, Daniel Nowak and 7 more

Abstract read
In one paragraph

Article in Nature cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 515 papers.

0numbers the graph read from it
0cells of the map it votes in
515citing 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

515 citing papers in PubMed.

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  9. CD34Histology and histopathology · 2026
    Review
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455 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Lars VeltenEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany.
Simon F HaasHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany.
Simon RaffelHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany.
Sandra BlaszkiewiczHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany.
Saiful IslamDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Bianca P HennigEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany.
Christoph HircheHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany.
Christoph LutzDepartment of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany.
Eike C BussDepartment of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany.
Daniel NowakDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany.
Tobias BochDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany.
Wolf-Karsten HofmannDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany.
Anthony D HoDepartment of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany.
Wolfgang HuberEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany.ORCID 0000-0002-0474-2218
Andreas TrumppHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany.
Marieke A G EssersHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany.
Lars M SteinmetzEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany.

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
NHGRI NIH HHS P01 HG000205
6 · The paper itself

Abstract

Blood formation is believed to occur through stepwise progression of haematopoietic stem cells (HSCs) following a tree-like hierarchy of oligo-, bi- and unipotent progenitors. However, this model is based on the analysis of predefined flow-sorted cell populations. Here we integrated flow cytometric, transcriptomic and functional data at single-cell resolution to quantitatively map early differentiation of human HSCs towards lineage commitment. During homeostasis, individual HSCs gradually acquire lineage biases along multiple directions without passing through discrete hierarchically organized progenitor populations. Instead, unilineage-restricted cells emerge directly from a 'continuum of low-primed undifferentiated haematopoietic stem and progenitor cells' (CLOUD-HSPCs). Distinct gene expression modules operate in a combinatorial manner to control stemness, early lineage priming and the subsequent progression into all major branches of haematopoiesis. These data reveal a continuous landscape of human steady-state haematopoiesis downstream of HSCs and provide a basis for the understanding of haematopoietic malignancies.

Indexed as

Cell LineageAdultAnimalsAntigens, CDCell ProliferationFemaleGene Regulatory NetworksHematopoiesisHematopoietic Stem CellsHumansMaleMiceModels, BiologicalMultipotent Stem CellsTranscriptomeAntigens, CD

Identifiers

PMID28319093
PMCPMC5496982

What OpenQuestion holds

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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.