Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA139621 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To gain insight into the molecular regulation of human heart development, a detailed comparison of the mRNA and miRNA transcriptomes across differentiating human-induced pluripotent stem cell (hiPSC)–derived cardiomyocytes and biopsies from fetal, adult, and hypertensive human hearts was performed. Gene ontology analysis of the mRNA expression levels of the hiPSCs differentiating into cardiomyocytes revealed 3 distinct groups of genes: pluripotent specific, transitional cardiac specification, and mature cardiomyocyte specific. Hierarchical clustering of the mRNA data revealed that the transcriptome of hiPSC cardiomyocytes largely stabilizes 20 days after initiation of differentiation. Nevertheless, analysis of cells continuously cultured for 120 days indicated that the cardiomyocytes continued to mature toward a more adult-like gene expression pattern. Analysis of cardiomyocyte-specific miRNAs (miR-1, miR-133a/b, and miR-208a/b) revealed a miRNA pattern indicative of stem cell to cardiomyocyte specification. A biostatistitical approach integrated the miRNA and mRNA expression profiles revealing a cardiomyocyte differentiation miRNA network and identified putative mRNAs targeted by multiple miRNAs. Together, these data reveal the miRNA network in human heart development and support the notion that overlapping miRNA networks re-enforce transcriptional control during developmental specification. miRNA expression profiling of differentiating human-induced pluripotent stem cell (hiPSC)–derived cardiomyocytes (days 0-120)
2012-02-10 | E-GEOD-35672 | biostudies-arrayexpress
Project description:To gain insight into the molecular regulation of human heart development, a detailed comparison of the mRNA and miRNA transcriptomes across differentiating human-induced pluripotent stem cell (hiPSC)–derived cardiomyocytes and biopsies from fetal, adult, and hypertensive human hearts was performed. Gene ontology analysis of the mRNA expression levels of the hiPSCs differentiating into cardiomyocytes revealed 3 distinct groups of genes: pluripotent specific, transitional cardiac specification, and mature cardiomyocyte specific. Hierarchical clustering of the mRNA data revealed that the transcriptome of hiPSC cardiomyocytes largely stabilizes 20 days after initiation of differentiation. Nevertheless, analysis of cells continuously cultured for 120 days indicated that the cardiomyocytes continued to mature toward a more adult-like gene expression pattern. Analysis of cardiomyocyte-specific miRNAs (miR-1, miR-133a/b, and miR-208a/b) revealed a miRNA pattern indicative of stem cell to cardiomyocyte specification. A biostatistitical approach integrated the miRNA and mRNA expression profiles revealing a cardiomyocyte differentiation miRNA network and identified putative mRNAs targeted by multiple miRNAs. Together, these data reveal the miRNA network in human heart development and support the notion that overlapping miRNA networks re-enforce transcriptional control during developmental specification. Comparison of mRNA expression profiling of differentiating human-induced pluripotent stem cell (hiPSC)–derived cardiomyocytes, biopsies from fetal, adult and hypertensive human hearts and primary cardiomyocytes
2012-02-10 | E-GEOD-35671 | biostudies-arrayexpress
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Project description:In this study, we engineered a micro-well duct-on-chip platform to generate defined 3D aggregates from hiPSC-derived PPs and subsequently induce differentiation toward PDLOs. Time-resolved scRNA-seq combined with cleared immunofluorescence imaging provided a deep understanding of in vitro ductal cell type differentiation. By defining the emergent cell types at each stage of differentiation based on their gene expression profiles and organoid structures, we provide a precise cell-by-cell description of the in vitro differentiation trajectory. Transcriptional data of PDLOs were complemented by their proteome and secretome data, allowing the identification and validation of prognostic cancer marker. Thus, we show the applicability of hiPSC-derived PDLOs-on-chip for future ductal disease modeling.
2021-07-08 | PXD024461 | Pride
Project description:Omics analyses and qRT-PCR time-course during the transition from hiPSC to hiPSC-NSC highlighted the up-regulation of SREBF1, a gene involved in cholesterol biosynthesis and lipid homeostasis, suggesting its potential role in NSC commitment/maintenance. To test this hypothesis, we generated SREBF1-deficient hiPSC lines by co-delivering ribonucleoprotein Cas9 with a pool of sgRNA targeting exon 5 of the SREBF1 gene. Upon isolation of three clones harboring the deletion we performed RNA-seq analysis in hiPSC, hiPSC-NSC and differentiated cultures at 7 and 14 days of differentiation, compared to control cells. This analysis will allow to identify the potential role of SREBF1 in affecting hiPSC-to-hiPSC-NSC transition, hiPSC-NSC maintenance and commitment toward differentiated cell populations.
2024-09-23 | GSE273125 | GEO
Project description:In this study, time-course transcriptome profiling of caidiomyocyte differentiation derived from human hESCs and hiPSCs was investigated. Two hiPSC lines (C15 and C20) and two hESC lines (H1 and H9) were differentiated to caidiomyocytes. The cells were collected for RNA-seq analysis at day0(undifferentiated cells) day2 (mesoderm), day4 (cardiac mesoderm) and day30 (cardiomyocytes) using Illumina HiSeq 2000 sequencer.
2017-07-10 | GSE85331 | GEO
Project description:In this study, time-course genome-wide chromatin accessibility of caidiomyocyte differentiation derived from human hESCs and hiPSCs was profiled. Two hiPSC lines (C15 and C20) and two hESC lines (H1 and H9) were differentiated to caidiomyocytes by ATAC-seq. The cells were collected for ATAC-seq at day 0(undifferentiated cells) day 2 (mesoderm), day 4 (cardiac mesoderm) and day 30 (cardiomyocytes).
2017-07-10 | GSE85330 | GEO
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO