E-TABM-562
Ontology highlight
ABSTRACT:
PROVIDER: E-TABM-562 | ExpressionAtlas | 2015-11-02
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-TABM-562-analysis-methods.tsv | Tabular | |||
| E-TABM-562-atlasExperimentSummary.Rdata | Rdata | |||
| E-TABM-562-configuration.xml | Xml | |||
| E-TABM-562-percentile-ranks.tsv | Tabular | |||
| E-TABM-562.condensed-sdrf.tsv | Tabular |
Items per page: 5 1 - 5 of 79 |
Similar Datasets
Project description:This experiment is part of the FunGenES project (FunGenES - Functional Genomics in Embryonic Stem Cells partially funded by the 6th Framework Programme of the European Union, http://www.fungenes.org). The experiment was conducted at the Inst. National de la Santé et de la Recherche Médicale - INS (INSERM U371, Bron, France) The goal of the experiment is to identify genes regulated by STAT3 and NANOG, which are known inhibitors of mouse ES cell differentiation.(I) E14-Cre-CTL cells deprived of LIF for 24 hours (n = 5); (II) E14-Cre-Tax cells as in (I) and restimulated with 100 nM tamoxifen for 2 hours (n = 5); (III) E14-STATA3-CTL cells deprived of LIF and 4âOHT for 24 hours (n = 4); (IV) E14-STAT3-LIF cells treated as in (III) and re-stimulated with 10,000 U/ml LIF for 1 hour to reactivate endogenous STAT3 (n = 5); (V) E14-STAT3-Tax cells as in (III) and restimulated with 100 nM 4âOHT for 2 hours to activate STAT3-ERT2 (n = 6);
2009-03-01 | E-TABM-562 | biostudies-arrayexpress
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:Chickarmane2006 - Stem cell switch reversible
Kinetic modeling approach of the transcriptional dynamics of the embryonic stem cell switch.
This model is described in the article:
Transcriptional dynamics of the embryonic stem cell switch.
Chickarmane V, Troein C, Nuber UA, Sauro HM, Peterson C
PLoS Computational Biology. 2006; 2(9):e123
Abstract:
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the transcription factors OCT4, SOX2, and NANOG. In addition to regulating each other through feedback loops, these genes also regulate downstream target genes involved in the maintenance and differentiation of embryonic stem cells. A search for the OCT4-SOX2-NANOG network motif in other species reveals that it is unique to mammals. With a kinetic modeling approach, we ascribe function to the observed OCT4-SOX2-NANOG network by making plausible assumptions about the interactions between the transcription factors at the gene promoter binding sites and RNA polymerase (RNAP), at each of the three genes as well as at the target genes. We identify a bistable switch in the network, which arises due to several positive feedback loops, and is switched on/off by input environmental signals. The switch stabilizes the expression levels of the three genes, and through their regulatory roles on the downstream target genes, leads to a binary decision: when OCT4, SOX2, and NANOG are expressed and the switch is on, the self-renewal genes are on and the differentiation genes are off. The opposite holds when the switch is off. The model is extremely robust to parameter changes. In addition to providing a self-consistent picture of the transcriptional circuit, the model generates several predictions. Increasing the binding strength of NANOG to OCT4 and SOX2, or increasing its basal transcriptional rate, leads to an irreversible bistable switch: the switch remains on even when the activating signal is removed. Hence, the stem cell can be manipulated to be self-renewing without the requirement of input signals. We also suggest tests that could discriminate between a variety of feedforward regulation architectures of the target genes by OCT4, SOX2, and NANOG.
This model is hosted on BioModels Database
and identified by: MODEL7957907314
.
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.
2024-09-02 | BIOMD0000000203 | BioModels
Project description:Chickarmane2006 - Stem cell switch irreversible
Kinetic modeling approach of the transcriptional dynamics of the embryonic stem cell switch.
This model is described in the article:
Transcriptional dynamics of the embryonic stem cell switch.
Chickarmane V, Troein C, Nuber UA, Sauro HM, Peterson C
PLoS Computational Biology. 2006; 2(9):e123
Abstract:
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the transcription factors OCT4, SOX2, and NANOG. In addition to regulating each other through feedback loops, these genes also regulate downstream target genes involved in the maintenance and differentiation of embryonic stem cells. A search for the OCT4-SOX2-NANOG network motif in other species reveals that it is unique to mammals. With a kinetic modeling approach, we ascribe function to the observed OCT4-SOX2-NANOG network by making plausible assumptions about the interactions between the transcription factors at the gene promoter binding sites and RNA polymerase (RNAP), at each of the three genes as well as at the target genes. We identify a bistable switch in the network, which arises due to several positive feedback loops, and is switched on/off by input environmental signals. The switch stabilizes the expression levels of the three genes, and through their regulatory roles on the downstream target genes, leads to a binary decision: when OCT4, SOX2, and NANOG are expressed and the switch is on, the self-renewal genes are on and the differentiation genes are off. The opposite holds when the switch is off. The model is extremely robust to parameter changes. In addition to providing a self-consistent picture of the transcriptional circuit, the model generates several predictions. Increasing the binding strength of NANOG to OCT4 and SOX2, or increasing its basal transcriptional rate, leads to an irreversible bistable switch: the switch remains on even when the activating signal is removed. Hence, the stem cell can be manipulated to be self-renewing without the requirement of input signals. We also suggest tests that could discriminate between a variety of feedforward regulation architectures of the target genes by OCT4, SOX2, and NANOG.
This model is hosted on BioModels Database
and identified by: MODEL7957942740
.
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.
2024-09-02 | BIOMD0000000204 | BioModels
Project description:Activation of JAK-STAT3 signaling by leukemia inhibitory factor (LIF) is required for maintaining self-renewal of mouse embryonic stem cells (mESCs). STAT3 perform cell type-specific roles in different cell type, here we revisit the role of STAT3 using mouse female germ stem cell (mFGSCs). We applied CRISPR/Cas9 system to generate Stat3 knockout FGSCs and then observed cell growth inhibition and cell cycle arrest in KO cell line. By combining genome wide ChIP-Seq and RNA-Seq, we identified 5990 STAT3 binding sites and discovered serval genes specific regulated by STAT3 that were involved in stem cell proliferation and female gonad development in FGSCs. In general, we identify key roles of STAT3 for sustains self-renewal and proliferation for FGSCs in this study.
2017-12-20 | E-MTAB-6163 | biostudies-arrayexpress
Project description:Activation of JAK-STAT3 signaling by leukemia inhibitory factor (LIF) is required for maintaining self-renewal of mouse embryonic stem cells (mESCs). STAT3 perform cell type-specific roles in different cell type, here we revisit the role of STAT3 using mouse female germ stem cell (mFGSCs). We applied CRISPR/Cas9 system to generate Stat3 knockout FGSCs and then observed cell growth inhibition and cell cycle arrest in KO cell line. By combining genome wide ChIP-Seq and RNA-Seq, we identified 5990 STAT3 binding sites and discovered serval genes specific regulated by STAT3 that were involved in stem cell proliferation and female gonad development in FGSCs. In general, we identify key roles of STAT3 for sustains self-renewal and proliferation for FGSCs in this study.
2017-12-20 | E-MTAB-6162 | biostudies-arrayexpress
Project description:The capacity of embryonic stem cells to differentiate into all lineages of mature organism is precisely regulated by cellular signaling factors. STAT3 is a crucial transcription factor that plays a central role in maintaining embryonic stem cells identity. However the underlying mechanism how Stat3 directs differentiation is still not completely understood. Here we show that Stat3 positively regulates gene expression of methyltransferase like protein 8 (Mettl8) in mouse ES cells. We found that Mettl8 is dispensable for pluripotency but affects ESCs differentiation. Subsequently we discovered that Mettl8 interacts with Mapkbp1’s mRNA, which is an intermediate factor in JNK signaling, and inhibits the translation of the mRNA. Thereby, Mettl8 prohibits the activation of JNK signaling and enhances the differentiation of mouse ESCs. Collectively, our study uncovers a Stat3 target Mettl8 which regulates mouse ESCs differentiation via JNK signaling.
2018-06-14 | GSE112360 | GEO
Project description:Identify Tfcp2l1-regulated genes in mouse embryonic stem cells grown in 2i medium
| PRJNA670915 | ENA
Project description:Protein kinase signalling is a major mechanism by which embryonic stem cell pluripotency and differentiation is controlled. However, the pathways and components that regulate embryonic stem cell identity have not been systematically defined. Here, we employ FGF4 signalling as a model system to investigate phosphoproteome dynamics in differentiating mouse embryonic stem cells. We report identification and quantitation of more than 10,000 phosphopeptides, of which hundreds of phosphophoylation sites are regulated more than 2-fold by acute FGF4 stimulation. We hypothesise that phosphorylation sites in this dataset are relevant for regulating the transition of mouse embryonic stem cells from pluripotency towards lineage specific differentiation.
2020-02-24 | PXD012069 | Pride
Project description:The iTRAQ dataset for mouse embryonic stem cell differentiation.
2018-05-19 | MSV000082375 | MassIVE