{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bencun M"],"funding":["Deutsche Forschungsgemeinschaft","Klaus Tschira Foundation"],"pagination":["391"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8962266"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["10(2)"],"pubmed_abstract":["Cardiovascular disease is still the leading cause of morbidity and mortality worldwide. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become a valuable widespread in vitro model to study cardiac disease. Herein, we employ the hiPSC-CM model to identify novel miRNA-mRNA interaction partners during cardiac differentiation and β-adrenergic stress. Whole transcriptome and small RNA sequencing data were combined to identify novel miRNA-mRNA interactions. Briefly, mRNA and miRNA expression profiles were integrated with miRNA target predictions to identify significant statistical dependencies between a miRNA and its candidate target set. We show by experimental validation that our approach discriminates true from false miRNA target predictions. Thereby, we identified"],"journal":["Biomedicines"],"pubmed_title":["New Tricks with Old Dogs: Computational Identification and Experimental Validation of New miRNA-mRNA Regulation in hiPSC-CMs."],"pmcid":["PMC8962266"],"funding_grant_id":["00.219.2013","1501/8-2"],"pubmed_authors":["Dieterich C","Britto-Borges T","Eschenbach J","Bencun M"],"additional_accession":[]},"is_claimable":false,"name":"New Tricks with Old Dogs: Computational Identification and Experimental Validation of New miRNA-mRNA Regulation in hiPSC-CMs.","description":"Cardiovascular disease is still the leading cause of morbidity and mortality worldwide. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become a valuable widespread in vitro model to study cardiac disease. Herein, we employ the hiPSC-CM model to identify novel miRNA-mRNA interaction partners during cardiac differentiation and β-adrenergic stress. Whole transcriptome and small RNA sequencing data were combined to identify novel miRNA-mRNA interactions. Briefly, mRNA and miRNA expression profiles were integrated with miRNA target predictions to identify significant statistical dependencies between a miRNA and its candidate target set. We show by experimental validation that our approach discriminates true from false miRNA target predictions. Thereby, we identified","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Feb","modification":"2026-04-08T17:52:25.027Z","creation":"2025-04-04T23:15:30.323Z"},"accession":"S-EPMC8962266","cross_references":{"pubmed":["35203600"],"doi":["10.3390/biomedicines10020391"]}}