Evidence map›Paper›PMID 29466336›Full record

ArticleNature2018

Population snapshots predict early haematopoietic and erythroid hierarchies.

Betsabeh Khoramian Tusi, Samuel L Wolock, Caleb Weinreb, Yung Hwang, Daniel Hidalgo, Rapolas Zilionis, Ari Waisman, Jun R Huh, Allon M Klein, Merav Socolovsky

Open access · greenAbstract read
In one paragraph

Article in Nature, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed
20.3field-weighted citation impact, top 1% 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

261 citing papers in PubMed, 398 citations in OpenAlex.

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201 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

10 authors at 4 institutions in 2 countries.

Betsabeh Khoramian TusiDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Samuel L WolockDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Caleb WeinrebDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Yung HwangDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Daniel HidalgoDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Rapolas ZilionisDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Ari WaismanInstitute for Molecular Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Jun R HuhDivision of Immunology, Department of Microbiology and Immunobiology and Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts, USA.
Allon M KleinDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Merav SocolovskyDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
University of Massachusetts Chan Medical School · USHarvard University · USCenter for Systems Biology · USJohannes Gutenberg University Mainz · DE

Funding

Harvard Systems Biology Graduate ProgramT32GM080177 · NIGMS · HARVARD UNIVERSITY · PI MITCHISON, TIMOTHY J, MURRAY, ANDREW W · 2010 to 2019
$2.8M
Epigenetic and Cell Cycle Functions of Glucocorticoids in Erythropoietic StressR01DK100915 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SOCOLOVSKY, MERAV · 2014 to 2018
$1.8M
DNA Replication and Genome-Wide Demethylation in ErythropoiesisR01DK099281 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SOCOLOVSKY, MERAV · 2013 to 2016
$1.5M
NIDDK NIH HHS R01 DK099281NIDDK NIH HHS R01 DK100915NIGMS NIH HHS T32 GM080177
6 · The paper itself

Abstract

The formation of red blood cells begins with the differentiation of multipotent haematopoietic progenitors. Reconstructing the steps of this differentiation represents a general challenge in stem-cell biology. Here we used single-cell transcriptomics, fate assays and a theory that allows the prediction of cell fates from population snapshots to demonstrate that mouse haematopoietic progenitors differentiate through a continuous, hierarchical structure into seven blood lineages. We uncovered coupling between the erythroid and the basophil or mast cell fates, a global haematopoietic response to erythroid stress and novel growth factor receptors that regulate erythropoiesis. We defined a flow cytometry sorting strategy to purify early stages of erythroid differentiation, completely isolating classically defined burst-forming and colony-forming progenitors. We also found that the cell cycle is progressively remodelled during erythroid development and during a sharp transcriptional switch that ends the colony-forming progenitor stage and activates terminal differentiation. Our work showcases the utility of linking transcriptomic data to predictive fate models, and provides insights into lineage development in vivo.

Indexed as

ErythropoiesisAnimalsBasophilsCell CycleCell LineageErythrocytesErythroid Precursor CellsFemaleFlow CytometryIntercellular Signaling Peptides and ProteinsMast CellsMiceProto-Oncogene Proteins c-kitRNA, Small CytoplasmicSingle-Cell AnalysisTranscriptomeIntercellular Signaling Peptides and ProteinsProto-Oncogene Proteins c-kitRNA, Small Cytoplasmic

Identifiers

PMID29466336
PMCPMC5899604
OpenAlexW2788263670

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.