ArticlePloS one2015
Integrative Analysis of the Developing Postnatal Mouse Heart Transcriptome.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Cannabidiol Protects the Neonatal Mouse Heart from Hyperoxia-Induced Injury.International journal of molecular sciences · 2025Article
- Harnessing developmental cues for cardiomyocyte production.Development (Cambridge, England) · 2023Review
- Postnatal state transition of cardiomyocyte as a primary step in heart maturation.Protein & cell · 2022Article
- Genome-wide association studies demonstrate that TASP1 contributes to increased muscle fiber diameter.Heredity · 2021Article
- Review
- microRNA-1 inhibits cardiomyocyte proliferation in mouse neonatal hearts by repressing CCND1 expression.Annals of translational medicine · 2019Article
- Gestational Hypoxia and Developmental Plasticity.Physiological reviews · 2018Review
- Global gene expression analysis combined with a genomics approach for the identification of signal transduction networks involved in postnatal mouse myocardial proliferation and development.International journal of molecular medicine · 2018Article
- Microarray Analysis of Differential Gene Expression Profile Between Human Fetal and Adult Heart.Pediatric cardiology · 2017Article
- Distinct and Shared Determinants of Cardiomyocyte Contractility in Multi-Lineage Competent Ethnically Diverse Human iPSCs.Scientific reports · 2016Article
- Microarray analysis reveals a potential role of LncRNAs expression in cardiac cell proliferation.BMC developmental biology · 2016Article
- Decoding the Long Noncoding RNA During Cardiac Maturation: A Roadmap for Functional Discovery.Circulation. Cardiovascular genetics · 2016Article
- Article
- Transcriptional Landscape of Cardiomyocyte Maturation.Cell reports · 2015Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In mammals, cardiomyocytes rapidly proliferate in the fetus and continue to do so for a few more days after birth. These cardiomyocytes then enter into growth arrest but the detailed molecular mechanisms involved have not been fully elucidated. We have addressed this issue by comparing the transcriptomes of 2-day-old (containing dividing cardiomyocytes) with 13-day-old (containing growth arrested cardiomyocytes) postnatal mouse hearts. We performed comparative microarray analysis on the heart tissues and then conducted Functional annotation, Gene ontology, KEGG pathway and Gene Set enrichment analyses on the differentially expressed genes. The bioinformatics analysis revealed that gene ontology categories associated with the "cell cycle", "DNA replication", "chromosome segregation" and "microtubule cytoskeleton" were down-regulated. Inversely, "immune response", "extracellular matrix", "cell differentiation" and "cell membrane" were up-regulated. Ingenuity Pathways Analysis (IPA) has revealed that GATA4, MYH7 and IGF1R were the key drivers of the gene interaction networks. In addition, Regulator Effects network analysis suggested that TASP1, TOB1, C1orf61, AIF1, ROCK1, TFF2 and miR503-5p may be acting on the cardiomyocytes in 13-day-old mouse hearts to inhibit cardiomyocyte proliferation and G1/S phase transition. RT-qPCR was used to validate genes which were differentially expressed and genes that play a prominent role in the pathways and interaction networks that we identified. In sum, our integrative analysis has provided more insights into the transcriptional regulation of cardiomyocyte exit from the cell cycle during postnatal heart development. The results also pinpoint potential regulators that could be used to induce growth arrested cardiomyocytes to proliferate in the infarcted heart.
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Registered trials
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.