Evidence map›Paper›PMID 34026977›Full record

ArticleData in brief2021

Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome.

Zhaoyan Liu, Wei Zhu, Dmitri V Gnatenko, Natasha M Nesbitt, Wadie F Bahou

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Zhaoyan LiuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794 (USA).
Wei ZhuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794 (USA).
Dmitri V GnatenkoDepartment of Medicine, Stony Brook University, Stony Brook, NY 11794 (USA).
Natasha M NesbittDepartment of Medicine, Stony Brook University, Stony Brook, NY 11794 (USA).
Wadie F BahouDepartment of Medicine, Stony Brook University, Stony Brook, NY 11794 (USA).
Stony Brook University · US

Funding

Platelet Systems Biology in Health and DiseaseR01HL119096 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 2015 to 2019
$3.5M
Optimization of biliverdin IXβ reductase redox inhibitors as novel reagents for enhancing platelet productionR44HL150927 · NHLBI · BLOOD CELL TECHNOLOGIES, LLC · PI NESBITT, NATASHA M. · 2021 to 2023
$2.1M
Molecular characterization of biliverdin IXbeta reductaseR01HL153144 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 2021 to 2024
$2.0M
Genetic dissection of the platelet thrombohemorrhagic phenotypeR01HL091939 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 2009 to 2012
$1.6M
NHLBI NIH HHS R01 HL091939NHLBI NIH HHS R01 HL119096NHLBI NIH HHS R01 HL153144NHLBI NIH HHS R44 HL150927
6 · The paper itself

Abstract

Genetic pathways regulating hematopoietic lineage commitment at critical stages of development remain incompletely characterized.  To better delineate genetic sources of variability regulating cellular speciation during steady-state hematopoiesis, we applied a factorial single-cell latent variable model (f-scLVM) to decompose single-cell transcriptome heterogeneity into interpretable biological factors (refined pathway annotations or gene sets without annotation) dynamically regulating cell fate.  Hematopoietic single cell transcriptomic raw sequencing data extracted from 1,920 hematopoietic stem and progenitor cells (HSPCs) derived from 12-week-old female mice were used for data analysis and model development. These single cell RNA sequencing data were subsequently analyzed using the factorial single-cell latent variable model (f-scLVM), with their heterogeneity decomposed into interpretable biological factors. The top biological factors underlying the basal hematopoiesis were subsequently identified for the aggregate, and lineage-restricted (myeloid, megakaryocyte, erythroid) progenitor cells. For a subset of factors, data were independently verified experimentally in a companion research paper [1]. These data facilitate the identification of novel subpopulations and adjust gene sets to discover new marker genes and hidden confounding factors driving basal hematopoiesis.

Indexed as

Factor analysisPathway annotationSingle-cell RNA sequencing analysisSpatial reconstruction

Identifiers

PMID34026977
PMCPMC8131567
OpenAlexW3158932595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.