Evidence map›Paper›PMID 25028490›Full record

ArticleMolecular systems biology2014

Intercellular network structure and regulatory motifs in the human hematopoietic system.

Wenlian Qiao, Weijia Wang, Elisa Laurenti, Andrei L Turinsky, Shoshana J Wodak, Gary D Bader, John E Dick, Peter W Zandstra

Abstract read
In one paragraph

Article in Molecular systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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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.

Wenlian QiaoInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Weijia WangInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Elisa LaurentiPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Andrei L TurinskyThe Hospital for Sick Children, Toronto, ON, Canada.
Shoshana J WodakThe Hospital for Sick Children, Toronto, ON, Canada Department of Biochemistry, University of Toronto, Toronto, ON, Canada.
Gary D BaderDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada Department of Computer Science, University of Toronto, Toronto, ON, Canada The Donnelly Centre, University of Toronto, Toronto, ON, Canada.
John E DickPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Peter W ZandstraInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada The Donnelly Centre, University of Toronto, Toronto, ON, Canada Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada McEwen Centre for Regenerative Medicine, University of Health Network, Toronto, ON, Canada Heart & Stroke/Richard Lewar Centre of Excellence, Toronto, ON, Canada peter.zandstra@utoronto.ca.

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
CIHRNIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

The hematopoietic system is a distributed tissue that consists of functionally distinct cell types continuously produced through hematopoietic stem cell (HSC) differentiation. Combining genomic and phenotypic data with high-content experiments, we have built a directional cell-cell communication network between 12 cell types isolated from human umbilical cord blood. Network structure analysis revealed that ligand production is cell type dependent, whereas ligand binding is promiscuous. Consequently, additional control strategies such as cell frequency modulation and compartmentalization were needed to achieve specificity in HSC fate regulation. Incorporating the in vitro effects (quiescence, self-renewal, proliferation, or differentiation) of 27 HSC binding ligands into the topology of the cell-cell communication network allowed coding of cell type-dependent feedback regulation of HSC fate. Pathway enrichment analysis identified intracellular regulatory motifs enriched in these cell type- and ligand-coupled responses. This study uncovers cellular mechanisms of hematopoietic cell feedback in HSC fate regulation, provides insight into the design principles of the human hematopoietic system, and serves as a foundation for the analysis of intercellular regulation in multicellular systems.

Indexed as

Cell CommunicationAlgorithmsCells, CulturedGene Expression ProfilingHematopoiesisHematopoietic Stem CellsHumansLigandsLigandsfeedback regulationhematopoietic stem cellintercellular signaling

Identifiers

PMID25028490
PMCPMC4299490

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.