Evidence map›Paper›PMID 33372598›Full record

ArticleBMC genomics2020

Comprehensive network modeling from single cell RNA sequencing of human and mouse reveals well conserved transcription regulation of hematopoiesis.

Shouguo Gao, Zhijie Wu, Xingmin Feng, Sachiko Kajigaya, Xujing Wang, Neal S Young

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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  8. A globalBMC bioinformatics · 2022
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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

6 authors at 1 institution in 1 country.

Shouguo GaoHematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA. shouguo.gao@nih.gov.ORCID http://orcid.org/0000-0002-8275-0598
Zhijie WuHematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA.
Xingmin FengHematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA.
Sachiko KajigayaHematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA.
Xujing WangDivision of Diabetes, Endocrinology, and Metabolic Diseases (DEM), NIDDK, National Institutes of Health, Bethesda, MD, 20817, USA.
Neal S YoungHematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA.
National Institutes of Health · US

Funding

NHLBI NIH HHS DIR
6 · The paper itself

Abstract

backgroundPresently, there is no comprehensive analysis of the transcription regulation network in hematopoiesis. Comparison of networks arising from gene co-expression across species can facilitate an understanding of the conservation of functional gene modules in hematopoiesis.

resultsWe used single-cell RNA sequencing to profile bone marrow from human and mouse, and inferred transcription regulatory networks in each species in order to characterize transcriptional programs governing hematopoietic stem cell differentiation. We designed an algorithm for network reconstruction to conduct comparative transcriptomic analysis of hematopoietic gene co-expression and transcription regulation in human and mouse bone marrow cells. Co-expression network connectivity of hematopoiesis-related genes was found to be well conserved between mouse and human. The co-expression network showed "small-world" and "scale-free" architecture. The gene regulatory network formed a hierarchical structure, and hematopoiesis transcription factors localized to the hierarchy's middle level.

conclusionsTranscriptional regulatory networks are well conserved between human and mouse. The hierarchical organization of transcription factors may provide insights into hematopoietic cell lineage commitment, and to signal processing, cell survival and disease initiation.

Indexed as

HematopoiesisHematopoietic Stem CellsAnimalsCell DifferentiationGene Expression RegulationGene Regulatory NetworksHumansMiceSequence Analysis, RNACo-expression networkCross-species network analysisGene regulatory networkHematopoiesisSingle-cell RNA sequencing

Identifiers

PMID33372598
PMCPMC7771096
OpenAlexW3114069707

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.