Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA130229 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:miRNA plays a critical role in a wide variety of biological processes Profiling miRNA expression during the differentiation of embryonic stem cells will help us to understand the regulation pathway of differentiation, therefore to explain disease mechanisms and to find possible therapeutical targets. In this study miRNA expressions were profiled during cardiomyocyte-specific differentiation of murine embryonic stem cells with high-throughput microarray platforms. Two high throughput platforms (Affymetrix and Febit) were involved in miRNA profiling in order to compare the effect of platform on miRNA profiling result as well as to increase the plausibility of target miRNA identification. Four time points (day 0, day 12, day 19, day 26) which correspond to different stages during cardiac-specific differentiation were chosen for the miRNA profiling study.
2011-12-31 | E-GEOD-24066 | biostudies-arrayexpress
Project description:miRNA plays a critical role in a wide variety of biological processes Profiling miRNA expression during the differentiation of embryonic stem cells will help us to understand the regulation pathway of differentiation, therefore to explain disease mechanisms and to find possible therapeutical targets. In this study miRNA expressions were profiled during cardiomyocyte-specific differentiation of murine embryonic stem cells with high-throughput microarray platforms.
2011-12-31 | GSE24066 | GEO
Project description:Two reference pools comprised of different miRNA content were hybridized to four different miRNA microarray platforms (Agilent, LC Sciences, Exiqon and a homemade chip (generated from an Inviteogen Ncode probeset)) This dataset includes the reference samples on the Agilent miRNA array. Keywords: miRNA
2010-10-18 | GSE19669 | GEO
Project description:This data is part of a miRNA platform comparison study. We compared the performance characteristics of four commercial miRNA array technologies and found that all platforms performed well in separate measures of performance. The Ambion and Agilent platforms were more accurate, whereas the Illumina and Exiqon platforms were more specific. Furthermore, the data analysis approach had a large impact on the performance, predominantly by improving precision.
2010-03-18 | GSE19248 | GEO
Project description:The differentiation to cardiomyocytes is a prerequisite and an important part of heart development. A good understanding of the complicated cardiomyocyte differentiation process benefits cardiogenesis study. Embryonic stem cells (ESCs), cell lines with infinite ability to proliferate and to be differentiated into all cell types of the adult body, are important research tools for investigation of differentiation and meanwhile good models for developmental research. In the current study, genome-wide gene expression of ESCs is profiled through high throughput platform during cardiomyocyte-specific differentiation and maturation. Gene expression patterns of undifferentiated ESCs and ESC-derived cardiomyocytes provide a global overview of genes involved in cardiomyocyte-specific differentiation, whereas marker gene expression profiles of both ESC-related genes and cardiac-specific genes presented the expression pattern shift during differentiation in a pure ESC-derived cardiomyocyte cell culture system. Transgenic mouse ESC clone with M-NM-1-MHCM-bM-^@M-^SPacM-bM-^@M-^SIRESM-bM-^@M-^SEGFP vector containing the EGFP gene and the PuromycinR (Pac) cassette under control of the cardiac M-NM-1-myosin heavy chain (M-NM-1-MHC) promoter was cultured and induced into differentiation. Puromycin was applied after differentiation start to enable cardiomyocyte-specific differentiation. Cells were harvested at 4 time points after differentiation start (day0, day12, day19 and day26). Two biological replicates were taken for every time point.
2014-09-25 | E-GEOD-58300 | 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. 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:Performance Evaluation of Commercial miRNA Expression Array Platforms
| PRJNA120787 | ENA
Project description:We compare the transcriptome of embryonic stem cells (ESCs), adult stem cells with apparent greater differentiation potential such as multipotent adult progenitor cells (MAPCs), mesenchymal stem cells (MSCs) and neurospheres (NS). Mouse and rat MAPCs were used in this study and two different array platforms (Affymetrix and NIA) were used for mouse samples. Keywords: mRNA expression profiling, oligonucleotide microarrays, stem cells
2007-10-11 | GSE6933 | GEO
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
Project description:High reproducibility with TaqMan microRNA array (qPCR-array) was demonstrated by comparing replicate results from the same RNA sample. Pre-amplification of the miRNA cDNA improved sensitivity of the qPCR-array and increased the number of detectable miRNAs. Furthermore, the relative expression levels of miRNAs were maintained after pre-amplification. When the performance of qPCR-array and microarrays were compared using different aliquots of the same RNA, a low correlation between the two methods (r = -0.443) indicated considerable variability between the two assay platforms. Higher variation between replicates was observed in miRNAs with low expression in both assays. Finally, a higher false positive rate of differential miRNA expression was observed using the microarray compared to the qPCR-array.
2009-05-13 | GSE16000 | GEO