Transcription factor binding dynamics during human ES cell differentiation
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE61475 | GEO | 2015/02/19
SECONDARY ACCESSION(S): PRJNA261253
REPOSITORIES: GEO
Similar Datasets
Project description:Pluripotent stem cells provide a powerful system to dissect the underlying molecular dynamics that regulate cell fate changes during mammalian development. Here we report the integrative analysis of genome wide binding data for 38 transcription factors with extensive epigenome and transcriptional data across the differentiation of human embryonic stem cells to the three germ layers. We describe core regulatory dynamics and show the lineage specific behavior of selected factors. In addition to the orchestrated remodeling of the chromatin landscape, we find that the binding of several transcription factors is strongly associated with specific loss of DNA methylation in one germ layer and in many cases a reciprocal gain in the other layers. Taken together, our work shows context-dependent rewiring of transcription factor binding, downstream signaling effectors, and the epigenome during human embryonic stem cell differentiation. 200 ChIP-seq experiments profiling 38 transcription factors (TFs) and several chromatin marks in 5 cell types--male human ES cell line HUES64 and directed differentiation of HUES64 towards mesendoderm (dMS, 12 hours), endoderm (dEN, 120 hours), mesoderm (dME, 120 hours), and ectoderm (dEC, 120 hours). In addition, three ES cell lines were derived with shRNA mediated knockdown of GATA4 and differention toward endoderm (dEN_shGATA4) and mesoderm (dME_shGATA4). These cell lines were used for MNChIP-seq of GATA4, SMAD1, and H3K27Ac and for 4 RRBS experiments in GATA4 knockdown and control cell lines.
2015-02-19 | E-GEOD-61475 | biostudies-arrayexpress
Project description:Differentiation of human embryonic stem cells (hESCs) provides a unique opportunity to study the epigenetic mechanisms that facilitate cellular transitions in a human context. To that end, we performed comprehensive transcriptional and epigenetic profiling of early populations derived through directed differentiation of hESCs representing each of the three embryonic germ layers. Integration of whole genome bisulfite sequencing, chromatin immunoprecipitation-sequencing and RNA-Sequencing reveals unique events associated with specification towards each lineage. While we observe expected dynamics such as loss of DNA methylation and gain of H3K4me1 at distal putative regulatory elements, we frequently found a germ layer specific switch to H3K27me3 at sites of high DNA methylation in the undifferentiated state. By carefully dissecting these initial events, we may be able to devise more faithful differentiation strategies and gain novel insights in to the robust rewiring of regulatory programs during cellular transitions. 10 Samples in total, 5 in replicate. To better understand the interplay of epigenetic dynamics and transcription factor binding upon in vitro specification of human embryonic stem cells we profiled OCT4, SOX2 and NANOG in hESC and the endoderm master regulatory factor FOXA2 in in vitro derived endoderm cells (dEN). To gain further insights into the relation of DNA methylation and TF binding, we carried out ChIP-bisulfite sequencing for FOXA2 in dEN. Lastly, we were interested in the fate of genes bound by FOXA2 in dEN upon further differentiation and therefore differentiated dEN further towards a hepatocyte like state and performed RNA-Seq.
2013-05-01 | E-GEOD-46130 | biostudies-arrayexpress
Project description:Pluripotent stem cells can give rise to the three embryonic germ layers and the characterization of their properties is crucial to exploit their therapeutic potential. Mouse embryonic stem cells (mESCs) are isolated and usually maintained in vitro in a primed state that resembles the post-implantation epiblast features. Furthermore, primed mESCs can be de-differentiated to a naive state that resembles the pre-implantation inner cell mass (ICM). Cell differentiation or genotoxic stress, among others, can alter DNA replication, which is a flexible process able to adapt to different cellular contexts. Here, we demonstrate that primed-to-naive mESC reprogramming triggers replication fork slowdown, increased fork asymmetry and a compensatory activation of dormant origins. Using iPOND (“isolation of proteins on nascent DNA”) coupled to mass spectrometry we have characterized the changes in replisome composition between naive and primed mESCs. Several DNA repair factors, including MRE11 nuclease, are enriched in naive mESCs forks, while factors involved in ubiquitin-dependent protein metabolism are enriched in primed mESC forks. We report that primed-to-naive mESC de-differentiation promotes recruitment of MRE11 to the forks in response to transcription-replication conflicts, underlying the DNA replication rewiring required for efficient mESC reprogramming.
2024-04-03 | PXD041946 | Pride
Project description:Pluripotent stem cells can differentiate into all embryonic germ layers, a process that is orchestrated by the dissolution of pluripotency network and activation of pro-differentiation pathways. We established a genome-wide loss-of-function library in haploid hPSCs and differentiated these cells into the three germ layers. The analyses of our high-throughput genetic screening revealed germ layer-specific essential transcription factors, as well as common essential genes for the transition from pluripotency into the three embryonic germ layer fates. Here, we have generated individual knockouts of seven lineage-specific and four common essential genes in human embryonic stem cells by CRISPR/Cas9 mutagenesis and analyzed the transcriptomes of the mutants upon either directed or spontaneous differentiation.
2020-07-30 | GSE143371 | GEO
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.
2008-11-26 | BIOMD0000000204 | 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.
2008-11-25 | BIOMD0000000203 | BioModels
Project description:Differentiation of human embryonic stem cells (hESCs) provides a unique opportunity to study the epigenetic mechanisms that facilitate cellular transitions in a human context. To that end, we performed comprehensive transcriptional and epigenetic profiling of early populations derived through directed differentiation of hESCs representing each of the three embryonic germ layers. Integration of whole genome bisulfite sequencing, chromatin immunoprecipitation-sequencing and RNA-Sequencing reveals unique events associated with specification towards each lineage. While we observe expected dynamics such as loss of DNA methylation and gain of H3K4me1 at distal putative regulatory elements, we frequently found a germ layer specific switch to H3K27me3 at sites of high DNA methylation in the undifferentiated state. By carefully dissecting these initial events, we may be able to devise more faithful differentiation strategies and gain novel insights in to the robust rewiring of regulatory programs during cellular transitions.
2013-05-01 | GSE46130 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE32080: DNA methylation profiling of embryonic stem cell differentiation into the three germ layers [MeDIP analysis] GSE32081: DNA methylation profiling of embryonic stem cell differentiation into the three germ layers [Expression analysis] Refer to individual Series
2012-02-15 | E-GEOD-32082 | 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:RNA-seq of mouse embryonic stem cells differentiated to the three germ layers and an epiblast stem cell-like state; RNA-seq of mouse tissues
2019-12-06 | E-MTAB-4904 | biostudies-arrayexpress