The pluripotent genome in three dimensions is shaped around pluripotency factors
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE37275 | GEO | 2013/07/24
SECONDARY ACCESSION(S): PRJNA159171
REPOSITORIES: GEO
Similar Datasets
Project description:It is becoming increasingly clear that the shape of the genome importantly influences transcription regulation. Pluripotent stem cells (PSCs) such as embryonic stem cells (ESCs) were recently shown to organize their chromosomes into topological domains that are largely invariant between cell types. Here, we applied 4C technology and combined ChIP-seq with Hi-C data to demonstrate that inactive chromatin is unusually disorganized in PSC nuclei. We show that gene promoters engage in contacts between topological domains in a largely tissue-independent manner while enhancers have a more tissue-restricted interaction profile. Most strikingly, genomic clusters of pluripotency factor binding sites find each other very efficiently, in a manner that is strictly PSC-specific, dependent on the presence of Oct4 and Nanog protein and inducible upon artificial recruitment of Nanog to a selected chromosomal site. We conclude that pluripotent stem cells have a unique higher-order genome structure shaped by pluripotency factors. We speculate that this interactome enhances the robustness of the pluripotent state. 4C-seq was performed on a range of viewpoints in pluripotent (2x ESC, iPSC) and differentiated (neural precursor cells and astrocytes) cell lines.
2013-07-24 | E-GEOD-37275 | 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:Unique traits of pluripotent stem cells are not fully known. Using thermal proteome profiling, we identified reduced stability of ribosomes in induced pluripotent cells (iPSCs) compared to that in somatic cells. Also, iPSCs exhibited lower protein synthesis rate and lower expression of a ribosome maturation factor, the Shwachman-Bodian-Diamond Syndrome protein (SBDS). Differentiation of iPSCs led to upregulation of SBDS and knock-down of SBDS slowed the differentiation while increasing expression of master pluripotency markers NANOG and Oct-4. Mutations in the SBDS gene have been shown to impair ribosome assembly and to inhibit differentiation of hematopoietic stem cells causing the Shwachman- Diamond syndrome. Physiological SBDS-dependent destabilization of ribosomes appears to be a tool for translational control providing robustness to the state of pluripotency.
2021-10-05 | PXD014830 | Pride
Project description:Unique traits of pluripotent stem cells are not fully known. Using thermal proteome profiling, we identified reduced stability of ribosomes in induced pluripotent cells (iPSCs) compared to that in somatic cells. Also, iPSCs exhibited lower protein synthesis rate and lower expression of a ribosome maturation factor, the Shwachman-Bodian-Diamond Syndrome protein (SBDS). Differentiation of iPSCs led to upregulation of SBDS and knock-down of SBDS slowed the differentiation while increasing expression of master pluripotency markers NANOG and OCT4. Mutations in the SBDS gene have been shown to impair ribosome assembly and to inhibit differentiation of hematopoietic stem cells causing the Shwachman-Diamond syndrome. Physiological SBDS-dependent destabilization of ribosomes appears to be a tool for translational control providing robustness to the state of pluripotency.
2021-10-05 | PXD015874 | Pride
Project description:Cellular reprogramming from somatic cells to induced pluripotent stem cells (iPSCs) can be achieved through forced expression of the transcription factors Oct4, Klf4, Sox2 and c-Myc (OKSM). These factors, in combination with environmental cues, induce a stable intrinsic pluripotency network that confers indefinite self-renewal capacity on iPSCs. In addition to Oct4 and Sox2, the homeodomain-containing transcription factor Nanog is an integral part of the pluripotency network. Although Nanog expression is not required for the maintenance of pluripotent stem cells, it has been reported to be essential for the establishment of both embryonic stem cells (ESCs) from blastocysts and iPSCs from somatic cells. Here we revisit the role of Nanog in direct reprogramming. Surprisingly, we find that Nanog is dispensable for iPSC formation under optimized culture conditions. We further document that Nanog-deficient iPSCs are transcriptionally highly similar to wild-type iPSCs and support the generation of teratomas and chimeric mice. Lastly, we provide evidence that the presence of ascorbic acid in the culture media is critical for overcoming the previously observed reprogramming block of Nanog knockout cells. Comparison of Nanog KO iPSCs to WT pluripotent cells.
2014-01-28 | E-GEOD-53832 | biostudies-arrayexpress
Project description:Chickarmane2008 - Stem cell lineage - NANOG GATA-6 switch
In this work, a dynamical model of lineage
determination based upon a minimal circuit, as discussed in PMID: 17215298
, which contains the Oct4/Sox2/Nanog core as well its interaction
with a few other key genes is discussed.
This model is described in the article:
A computational model for understanding stem cell, trophectoderm and endoderm lineage determination.
Chickarmane V, Peterson C
PloS one. 2008, 3(10):e3478
Abstract:
BACKGROUND: Recent studies have associated the transcription factors, Oct4, Sox2 and Nanog as parts of a self-regulating network which is responsible for maintaining embryonic stem cell properties: self renewal and pluripotency. In addition, mutual antagonism between two of these and other master regulators have been shown to regulate lineage determination. In particular, an excess of Cdx2 over Oct4 determines the trophectoderm lineage whereas an excess of Gata-6 over Nanog determines differentiation into the endoderm lineage. Also, under/over-expression studies of the master regulator Oct4 have revealed that some self-renewal/pluripotency as well as differentiation genes are expressed in a biphasic manner with respect to the concentration of Oct4. METHODOLOGY/
PRINCIPAL FINDINGS: We construct a dynamical model of a minimalistic network, extracted from ChIP-on-chip and microarray data as well as literature studies. The model is based upon differential equations and makes two plausible assumptions; activation of Gata-6 by Oct4 and repression of Nanog by an Oct4-Gata-6 heterodimer. With these assumptions, the results of simulations successfully describe the biphasic behavior as well as lineage commitment. The model also predicts that reprogramming the network from a differentiated state, in particular the endoderm state, into a stem cell state, is best achieved by over-expressing Nanog, rather than by suppression of differentiation genes such as Gata-6.
CONCLUSIONS: The computational model provides a mechanistic understanding of how different lineages arise from the dynamics of the underlying regulatory network. It provides a framework to explore strategies of reprogramming a cell from a differentiated state to a stem cell state through directed perturbations. Such an approach is highly relevant to regenerative medicine since it allows for a rapid search over the host of possibilities for reprogramming to a stem cell state.
This model is hosted on BioModels Database
and identified
by: MODEL8389825246
.
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 | BIOMD0000000210 | BioModels
Project description:NANOG functions as the gateway for the generation of pluripotent stem cells (PSCs) in mice and humans. NANOG protein is highly expressed in pig pre-implantation embryos, indicating NANOG is a conserved pluripotency-associated factor. However, pig NANOG reporter PSCs have yet to be established, and the regulation of pluripotency by NANOG is not completely understood in this animal. In this study, pig NANOG tdTomato knock-in reporter PSCs were established using CRISPR/Cas9. The resulting cell line was treated with several cytokines and inhibitors to identify the key pathway that regulates NANOG expression and the development of pluripotency.
2019-12-13 | GSE141935 | GEO
Project description:Chickarmane2008 - Stem cell lineage determination
In this work, a dynamical model of lineage
determination based upon a minimal circuit, as discussed in PMID: 17215298
, which contains the Oct4/Sox2/Nanog core as well its interaction
with a few other key genes is discussed.
This model is described in the article:
A computational model for understanding stem cell, trophectoderm and endoderm lineage determination.
Chickarmane V, Peterson C
PloS one. 2008, 3(10):e3478
Abstract:
BACKGROUND: Recent studies have associated the transcription factors, Oct4, Sox2 and Nanog as parts of a self-regulating network which is responsible for maintaining embryonic stem cell properties: self renewal and pluripotency. In addition, mutual antagonism between two of these and other master regulators have been shown to regulate lineage determination. In particular, an excess of Cdx2 over Oct4 determines the trophectoderm lineage whereas an excess of Gata-6 over Nanog determines differentiation into the endoderm lineage. Also, under/over-expression studies of the master regulator Oct4 have revealed that some self-renewal/pluripotency as well as differentiation genes are expressed in a biphasic manner with respect to the concentration of Oct4. METHODOLOGY/
PRINCIPAL FINDINGS: We construct a dynamical model of a minimalistic network, extracted from ChIP-on-chip and microarray data as well as literature studies. The model is based upon differential equations and makes two plausible assumptions; activation of Gata-6 by Oct4 and repression of Nanog by an Oct4-Gata-6 heterodimer. With these assumptions, the results of simulations successfully describe the biphasic behavior as well as lineage commitment. The model also predicts that reprogramming the network from a differentiated state, in particular the endoderm state, into a stem cell state, is best achieved by over-expressing Nanog, rather than by suppression of differentiation genes such as Gata-6.
CONCLUSIONS: The computational model provides a mechanistic understanding of how different lineages arise from the dynamics of the underlying regulatory network. It provides a framework to explore strategies of reprogramming a cell from a differentiated state to a stem cell state through directed perturbations. Such an approach is highly relevant to regenerative medicine since it allows for a rapid search over the host of possibilities for reprogramming to a stem cell state.
This model is hosted on BioModels Database
and identified
by: MODEL8390025091
.
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 | BIOMD0000000209 | BioModels
Project description:We established human pluripotent stem cell (PSC) lines expressing Synovial Sarcoma-specific oncogene, SYT-SSX2, under the control of doxycycline with dose- and time-dependent manner. Gene expression profiles were analyzed to identify early response genes of SYT-SSX2. SYT-SSX2-inducible PSC lines including two hESCs and one hiPSC were analyzed at several time points (0, 6, 12, 18, 24 hours) after doxycycline treatment.
2013-01-30 | E-GEOD-43080 | biostudies-arrayexpress
Project description:It has been suggested that the transcription factor Nanog is essential for the establishment of pluripotency during the derivation of embryonic stem (ES) cells and induced pluripotent stem (iPS) cells. However, successful reprogramming to pluripotency with a growing list of divergent transcription factors, at ever increasing efficiencies, suggests that there may be many distinct routes to a pluripotent state. Here, we have investigated whether Nanog is necessary for reprogramming murine fibroblasts under highly efficient conditions using the canonical reprogramming factors Oct4, Sox2, Klf4 and cMyc. In agreement with prior results, the efficiency of reprogramming Nanog-/- fibroblasts was significantly lower than that of control fibroblasts. However, in contrast to previous findings, we were able to reproducibly generate iPS cells from Nanog-/- fibroblasts that effectively contributed to chimeric mice. Thus while Nanog may be an important mediator of reprogramming it is not required for establishing pluripotency in the mouse, even under standard conditions. In order to further evaluate the equivalency of Nanog null iPSC to nanog null ESCs, we have performed RNAseq on two independent nanog null iPSC lines, as well as Nanog Null ESC, WT ESC and iPSCs as well as MEFs. As a negativve control for reprogramming we have analyzed a partially reprogrammed iPSC line. 2-4 biological replicates each of 7 conditions (WT MEFs, WT ESC, WT iPSC, WT partially reprogrammed iPSC (piPS), Nanog null ESC, Nanog null iPSC clone G2 and Nanog null iPSC clone G5)
2014-01-01 | E-GEOD-53212 | biostudies-arrayexpress