Evidence map›Paper›PMID 42038154›Full record

ArticleStem cells international2026

Screening and Identification of BMP5 as a Key Regulatory Gene for hPSCs Transcardiomyocyte Differentiation.

Hong Zhang, Simei Tu, Chang Xu, Ruoshi Wu, Jiayi Wu, Xin Huang, Xiaoqin Luo, Xiaowei Luo, Xinjian Qu

Abstract read
In one paragraph

Article in Stem cells international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hong ZhangInstitute of Marine Drugs/Guangxi Key Laboratory of Marine Drugs, Guangxi University of Chinese Medicine, Nanning, 530200, China, gxtcm.com.ORCID https://orcid.org/0009-0009-1446-087X
Simei TuSchool of Life and Pharmaceutical Sciences, Dalian University of Technology, Dalian, Liaoning, China, dlut.edu.cn.ORCID https://orcid.org/0009-0000-0724-1390
Chang XuInstitute of Marine Drugs/Guangxi Key Laboratory of Marine Drugs, Guangxi University of Chinese Medicine, Nanning, 530200, China, gxtcm.com.ORCID https://orcid.org/0009-0007-3397-7917
Ruoshi WuNanning Hospital of Foresea Life Insurance, Nanning, 530200, Guangxi, China.ORCID https://orcid.org/0009-0004-0420-1931
Jiayi WuInstitute of Marine Drugs/Guangxi Key Laboratory of Marine Drugs, Guangxi University of Chinese Medicine, Nanning, 530200, China, gxtcm.com.ORCID https://orcid.org/0009-0009-3728-0505
Xin HuangInstitute of Marine Drugs/Guangxi Key Laboratory of Marine Drugs, Guangxi University of Chinese Medicine, Nanning, 530200, China, gxtcm.com.ORCID https://orcid.org/0009-0002-2988-6872
Xiaoqin LuoNanning Hospital of Foresea Life Insurance, Nanning, 530200, Guangxi, China.
Xiaowei LuoInstitute of Marine Drugs/Guangxi Key Laboratory of Marine Drugs, Guangxi University of Chinese Medicine, Nanning, 530200, China, gxtcm.com.ORCID https://orcid.org/0000-0002-2114-1609
Xinjian QuInstitute of Marine Drugs/Guangxi Key Laboratory of Marine Drugs, Guangxi University of Chinese Medicine, Nanning, 530200, China, gxtcm.com.ORCID https://orcid.org/0000-0002-7446-7768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human pluripotent stem cells (hPSCs)-derived cardiomyocytes have tremendous advantages in generating cell models that are suitable for the study of cardiovascular diseases and their treatment. However, there is a lack of systematic screening and analysis of important genes for inducing hPSCs differentiation into cardiomyocytes. Methods: Gene Expression Omnibus (GEO) databases were used to explore the key genes involved in hPSCs differentiation into cardiomyocytes. Then, the induction of human embryonic stem cells (hESCs) differentiation into cardiomyocytes was verified by alkaline phosphatase (ALP) detection, real-time PCR, western blotting and immunofluorescence experiments. Furthermore, BMP5 overexpression and CRISPER/Cas9-mediated knockout of BMP5 were performed to determine the important role of BMP5 in the differentiation of hESCs into cardiomyocytes. Results: Through differential expression analysis of high-throughput sequencing datasets from four stages of hPSCs differentiation into cardiomyocytes (undifferentiated hPSCs, mesoderm cells, early cardiomyocytes, and cardiomyocytes), 10 key differentially expressed genes (DEGs) were ultimately identified. Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis subsequently revealed that BMP5 interacted with the transcriptional regulator NKX2-5. During the induction of hESCs differentiation into cardiomyocytes, the expression of BMP5 was significantly increased in the mesoderm, early cardiomyocyte, and cardiomyocyte stages compared with that in the hESCs stage. After overexpression of BMP5 in hESCs and induction of cell differentiation into cardiomyocytes, the number of myocardial beats and the expression levels of cardiomyocyte marker proteins were significantly greater than those in nontransfected hESCs-derived cardiomyocytes. CRISPR/Cas9-mediated knockout of BMP5 in ESCs and then cells were induced to differentiate towards cardiomyocytes, transcriptome sequencing results revealed a significant reduction in the expression levels of genes related to myocardial development. Conclusion: The role of BMP5 in the differentiation of hESCs into cardiomyocytes was explored, and findings demonstrated that BMP5 promoted the differentiation of hESCs into cardiomyocytes.

Indexed as

BMP5cardiomyocyteshPSC differentiationhuman pluripotent stem cell

Identifiers

PMID42038154
PMCPMC13108435

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.