Evidence map›Paper›PMID 37705079›Full record

ArticleStem cell research & therapy2023

Integrated modeling framework reveals co-regulation of transcription factors, miRNAs and lncRNAs on cardiac developmental dynamics.

Shumin Li, Bin Yan, Binbin Wu, Junhao Su, Jianliang Lu, Tak-Wah Lam, Kenneth R Boheler, Ellen Ngar-Yun Poon, Ruibang Luo

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Veterinary sciences · 2026
    Article
  2. Metamorphosis and lncRNAs: A Close Relationship.Genesis (New York, N.Y. : 2000) · 2026
    Review
  3. 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

9 authors at 3 institutions in 3 countries.

Shumin Li *Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China.
Bin Yan *Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China.
Binbin Wu *School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Junhao SuDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China.
Jianliang LuDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China.
Tak-Wah LamDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China.
Kenneth R BohelerThe Division of Cardiology, Department of Medicine and The Whiting School of Engineering, Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, 21205, USA. kbohele1@jhmi.edu.
Ellen Ngar-Yun PoonSchool of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, China. ellen.poon@cuhk.edu.hk.
Ruibang LuoDepartment of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China. rbluo@cs.hku.hk.
University of Hong Kong · HKChinese University of Hong Kong · CNJohns Hopkins Medicine · US

Funding

Engineered Human Heart Slice for Testing Drug-Induced ArrhythmiaR01HL152249 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BOHELER, KENNETH RICHARD, KWON, CHULAN · 2020 to 2022
$2.0M
NHLBI NIH HHS R01 HL152249NIH HHS R01-HL152249
6 · The paper itself

Abstract

aimsDissecting complex interactions among transcription factors (TFs), microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) are central for understanding heart development and function. Although computational approaches and platforms have been described to infer relationships among regulatory factors and genes, current approaches do not adequately account for how highly diverse, interacting regulators that include noncoding RNAs (ncRNAs) control cardiac gene expression dynamics over time.

methodsTo overcome this limitation, we devised an integrated framework, cardiac gene regulatory modeling (CGRM) that integrates LogicTRN and regulatory component analysis bioinformatics modeling platforms to infer complex regulatory mechanisms. We then used CGRM to identify and compare the TF-ncRNA gene regulatory networks that govern early- and late-stage cardiomyocytes (CMs) generated by in vitro differentiation of human pluripotent stem cells (hPSC) and ventricular and atrial CMs isolated during in vivo human cardiac development.

resultsComparisons of in vitro versus in vivo derived CMs revealed conserved regulatory networks among TFs and ncRNAs in early cells that significantly diverged in late staged cells. We report that cardiac genes ("heart targets") expressed in early-stage hPSC-CMs are primarily regulated by MESP1, miR-1, miR-23, lncRNAs NEAT1 and MALAT1, while GATA6, HAND2, miR-200c, NEAT1 and MALAT1 are critical for late hPSC-CMs. The inferred TF-miRNA-lncRNA networks regulating heart development and contraction were similar among early-stage CMs, among individual hPSC-CM datasets and between in vitro and in vivo samples. However, genes related to apoptosis, cell cycle and proliferation, and transmembrane transport showed a high degree of divergence between in vitro and in vivo derived late-stage CMs. Overall, late-, but not early-stage CMs diverged greatly in the expression of "heart target" transcripts and their regulatory mechanisms.

conclusionsIn conclusion, we find that hPSC-CMs are regulated in a cell autonomous manner during early development that diverges significantly as a function of time when compared to in vivo derived CMs. These findings demonstrate the feasibility of using CGRM to reveal dynamic and complex transcriptional and posttranscriptional regulatory interactions that underlie cell directed versus environment-dependent CM development. These results with in vitro versus in vivo derived CMs thus establish this approach for detailed analyses of heart disease and for the analysis of cell regulatory systems in other biomedical fields.

Indexed as

MicroRNAsRNA, Long NoncodingHeart VentriclesHumansMyocytes, CardiacTranscription FactorsMicroRNAsRNA, Long NoncodingTranscription FactorsCardiac development and functionData integrationGene regulatory networklncRNAsmiRNAsTranscription factors

Identifiers

PMID37705079
PMCPMC10500942
OpenAlexW4386709739

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.