Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA138025 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The use of pluripotent stem cells in regenerative medicine and disease modeling is complicated by the variation in differentiation properties between lines. In this study, we characterized 13 human embryonic stem cell. (hESC) and 26 human induced pluripotent stem cell (hiPSC) lines to identify markers that predict neural differentiation behavior. At a general level, markers previously known to distinguish mouse ESCs from epiblast stem cells (EpiSCs) correlated with neural differentiation behavior. More specifically, quantitative analysis of miR-371-3 expression prospectively identified hESC and hiPSC lines with differential neurogenic differentiation propensity and in vivo dopamine neuron engraftment potential. Transient KLF4 transduction increased miR-371-3 expression and altered neurogenic behavior and pluripotency marker expression. Conversely, suppression of miR- 371-3 expression in KLF4-transduced cells rescued neural differentiation propensity. miR-371-3 expression level therefore appears to have both a predictive and a functional role in determining human pluripotent stem cell neurogenic differentiation behavior.
2011-06-01 | GSE27834 | GEO
Project description:The use of pluripotent stem cells in regenerative medicine and disease modeling is complicated by the variation in differentiation properties between lines. In this study, we characterized 13 human embryonic stem cell. (hESC) and 26 human induced pluripotent stem cell (hiPSC) lines to identify markers that predict neural differentiation behavior. At a general level, markers previously known to distinguish mouse ESCs from epiblast stem cells (EpiSCs) correlated with neural differentiation behavior. More specifically, quantitative analysis of miR-371-3 expression prospectively identified hESC and hiPSC lines with differential neurogenic differentiation propensity and in vivo dopamine neuron engraftment potential. Transient KLF4 transduction increased miR-371-3 expression and altered neurogenic behavior and pluripotency marker expression. Conversely, suppression of miR- 371-3 expression in KLF4-transduced cells rescued neural differentiation propensity. miR-371-3 expression level therefore appears to have both a predictive and a functional role in determining human pluripotent stem cell neurogenic differentiation behavior. [mRNA profiling (Illumina)]: Four human ESC lines (H9, I4, I6, HUES6) at undifferentiation stages were purified with stem cell surface marker SSEA4 and subjected to RNA extraction and hybridization on Illumina microarrays. Each sample has 3 biological repeats, one of which has two technical repeats. [miRNA profiling (Agilent)]: Four human ESC lines (H9, I4, I6, HUES6) at undifferentiation stages were purified with stem cell surface marker SSEA4 and subjected to RNA extraction and hybridization on Agilent microarrays. Each sample has 3 biological repeats, one of which has two technical repeats.
2011-06-01 | E-GEOD-27834 | biostudies-arrayexpress
Project description:Naïve human pluripotent stem cells (hPSC) represent an earlier time-point in embryogenesis than conventional, ‘primed’ hPSCs. We present a comprehensive miRNA profiling of naïve-to-primed transition in hPSC, a process resembling aspects of early in vivo embryogenesis. We identify miR-143-3p and miR-22-3p as markers of the naïve state and miR-363-5p, several members of the miR-17 family, miR-302 family as primed markers. We uncover that miR-371-373 are highly upregulated in naïve hPSC. MiR-371-373 are the human homologs of the mouse miR-290 family, which are the most highly expressed miRNAs in mPSC. This aligns with the consensus that naïve hPSC resemble mPSC, showing that the absence of miR-371-373 in conventional hPSC is due to cell state rather than a species difference.
2020-06-29 | GSE128260 | GEO
Project description:In this study, we used RNA sequencing to provide a comprehensive overview of the expression profiles of small non-coding transcripts carried by the extracellular vesicles (EVs) derived from human adipose tissue stromal/stem cells (AT-MSCs) and human pluripotent stem cells (hPSCs), both human embryonic stem cells (hESCs) and human induced pluripotent stem cells (hiPSC). Small non-coding RNA sequencing from EVs showed that the profile of miRNA expression in PSC follow the profile reported for cell derived miRNA; further, most abundant miRNAs were found to originate from specific miRNA families which are regulating pluripotency, reprograming and differentiation (miR-17–92, mir-200, miR-302/367, miR-371/373, CM19 microRNA cluster). For the AT-MSCs, the highly expressed miRNAs were found to be regulating osteogenesis (mir-let-7/98, miR-10/100, miR-125, miR-196, miR-199, miR-615-3p, mir-22-3p, mir-24-3p, mir-27a-3p, mir-193b-5p, mir-195-3p). Additionally, abundant small nuclear and nucleolar RNA were detected in PSCs, whereas Y- and tRNA were found in AT-MSCs. Identification of EV-miRNA and non-coding RNA signatures released by these stem cells will provide clues towards understanding their role in intracellular communications, and well as their roles in maintaining the stem cell niche.
2018-10-30 | GSE113868 | GEO
Project description:Chavez2009 - a core regulatory network of OCT4 in human embryonic stem cells
A core OCT4-regulated network has been identified as a test case, to analyase stem cell characteristics and cellular differentiation.
This model is described in the article:
In silico identification of a core regulatory network of OCT4 in human embryonic stem cells using an integrated approach.
Chavez L, Bais AS, Vingron M, Lehrach H, Adjaye J, Herwig R
BMC Genomics, 2009, 10:314
Abstract:
BACKGROUND: The transcription factor OCT4 is highly expressed in pluripotent embryonic stem cells which are derived from the inner cell mass of mammalian blastocysts. Pluripotency and self renewal are controlled by a transcription regulatory network governed by the transcription factors OCT4, SOX2 and NANOG. Recent studies on reprogramming somatic cells to induced pluripotent stem cells highlight OCT4 as a key regulator of pluripotency.
RESULTS: We have carried out an integrated analysis of high-throughput data (ChIP-on-chip and RNAi experiments along with promoter sequence analysis of putative target genes) and identified a core OCT4 regulatory network in human embryonic stem cells consisting of 33 target genes. Enrichment analysis with these target genes revealed that this integrative analysis increases the functional information content by factors of 1.3 - 4.7 compared to the individual studies. In order to identify potential regulatory co-factors of OCT4, we performed a de novo motif analysis. In addition to known validated OCT4 motifs we obtained binding sites similar to motifs recognized by further regulators of pluripotency and development; e.g. the heterodimer of the transcription factors C-MYC and MAX, a prerequisite for C-MYC transcriptional activity that leads to cell growth and proliferation.
CONCLUSION: Our analysis shows how heterogeneous functional information can be integrated in order to reconstruct gene regulatory networks. As a test case we identified a core OCT4-regulated network that is important for the analysis of stem cell characteristics and cellular differentiation. Functional information is largely enriched using different experimental results. The de novo motif discovery identified well-known regulators closely connected to the OCT4 network as well as potential new regulators of pluripotency and differentiation. These results provide the basis for further targeted functional studies.
This model is hosted on BioModels Database
and identified
by: MODEL1305010000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2005-01-01 | MODEL1305010000 | BioModels
Project description:Differentiation of human neural precursor cells from pluripotent stem cells
| PRJNA242699 | ENA
Project description:MicroRNAs are important cellular regulators and their dysfunctions are associated with various disease. miR-371/372/373 was found co-regulated in HBV-producing HepG2.2.15 cells when compared to its non-HBV producing maternal HepG2 cells. To obtain a glimpse of the potential influence of the enforced miR-371-372-373 cluster in HepG2 gene expression, a two-color Capitalbio 70-mer oligo microarray platform, which contained 21,329 well-characterized human gene probes, was used to identify the differentially expressed genes between miR-371-372-373-HepG2 and mock-HepG2 in two independent biological replicate. miR-371-372-373-HepG2 vs. mock-HepG2
2012-01-15 | E-GEOD-19981 | biostudies-arrayexpress
Project description:MicroRNAs are important cellular regulators and their dysfunctions are associated with various disease. miR-371/372/373 was found co-regulated in HBV-producing HepG2.2.15 cells when compared to its non-HBV producing maternal HepG2 cells. To obtain a glimpse of the potential influence of the enforced miR-371-372-373 cluster in HepG2 gene expression, a two-color Capitalbio 70-mer oligo microarray platform, which contained 21,329 well-characterized human gene probes, was used to identify the differentially expressed genes between miR-371-372-373-HepG2 and mock-HepG2 in two independent biological replicate.
2012-01-15 | GSE19981 | GEO
Project description:Metabolism is vital to cellular function and tissue homeostasis during human lung development. In utero, embryonic pluripotent stem cells undergo endodermal differentiation towards a lung progenitor cell fate that can be mimicked in vitro using induced human pluripotent stem cells (hiPSCs) to study genetic mutations. To identify differences between wild type and surfactant protein B (SFTPB)-deficient cell lines during endoderm specification towards lung, we used an untargeted metabolomics approach to evaluate the developmental changes in metabolites. We found that the metabolites most enriched during the differentiation from pluripotent stem cell to lung progenitor cell, regardless of cell line, were sphingomyelins and phosphatidylcholines, two important lipid classes in fetal lung development. The SFTPB mutation had no metabolic impact on early endodermal lung development. The identified metabolite signatures during lung progenitor cell differentiation may be utilized as biomarkers for normal embryonic lung development.
2021-06-29 | ST002055 | MetabolomicsWorkbench
Project description:A hallmark of cancer cells is the metabolic switch from oxidative phosphorylation (OXPHOS) to glycolysis, a phenomenon referred to as the “Warburg effect”, which is also observed in primed human pluripotent stem cells (hPSCs). Here, we report that downregulation of SIRT2 and upregulation of SIRT1 is a molecular signature of primed hPSCs and that SIRT2 critically regulates metabolic reprogramming during induced pluripotency by targeting glycolytic enzymes including aldolase, glyceraldehyde-3-phosphate dehydrogenase, phosphoglycerate kinase, and enolase. Remarkably, knockdown of SIRT2 in human fibroblasts resulted in significantly decreased OXPHOS and increased glycolysis. In addition, we found that miR-200c-5p specifically targets SIRT2, downregulating its expression. Furthermore, SIRT2 overexpression in hPSCs significantly affected energy metabolism, altering stem cell functions such as pluripotent differentiation properties. Taken together, our results identify the miR-200c-SIRT2 axis as a key regulator of metabolic reprogramming (Warburg-like effect), via regulation of glycolytic enzymes, during human induced pluripotency and pluripotent stem cell function. To address our hypothesis that acetylation affects the metabolic switch, we compared protein acetylation in hESCs and hDFs by liquid chromatography-tandem mass spectrometry (LCMS/ MS) analyses following immunoprecipitation with acetyl-Lys antibody.
2018-10-26 | PXD006036 | Pride