Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

NANOG-OCT4-SOX2 Regulatory Module in Human Embryonic Stem Cells (dataset 2)

ABSTRACT: The transcription factors Nanog, Oct4 and Sox2 are the master regulators of pluripotency in mouse embryonic stem cells (mESCs), however, their functions in human ESCs (hESCs) have not been rigorously defined. Here we show that the requirements for NANOG, OCT4 and SOX2 in hESCs differ from those in mESCs. Both NANOG and OCT4 are required for self-renewal and repress differentiation. OCT4 controls both extraembryonic and epiblast-derived cell fates in a BMP4-dependent manner. OCT4-depleted hESCs commit to trophectoderm and primitive endoderm in the presence of BMP4, but undergo neuroectoderm differentiation in the absence of BMP4. NANOG represses neuroectoderm and neural crest commitment, but has little or no effect on the other lineages. We find that SOX2 is not required for self-renewal because it is redundant with SOX3, which is induced in SOX2-depleted hESCs. Simultaneous depletion of both SOX2 and SOX3 induces differentiation into the primitive streak. Unexpectedly, we identify significant variability in the usage of pluripotency factors by individual hESC lines, suggesting that the pluripotency network is remodelled to support a continuum of developmental states. Our study revises the general view of how NANOG, OCT4 and SOX2 orchestrate self-renewal in hESCs. Total RNA obtained from hESCs with or without BMP4 treatment for 8 days time course.

ORGANISM(S): Homo sapiens

SUBMITTER: Natalia Ivanova

PROVIDER: E-GEOD-34912 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Distinct lineage specification roles for NANOG, OCT4, and SOX2 in human embryonic stem cells.

Wang Zheng Z Oron Efrat E Nelson Brynna B Razis Spiro S Ivanova Natalia N

Cell stem cell 20120401 4

Nanog, Oct4, and Sox2 are the core regulators of mouse (m)ESC pluripotency. Although their basic importance in human (h)ESCs has been demonstrated, the mechanistic functions are not well defined. Here, we identify general and cell-line-specific requirements for NANOG, OCT4, and SOX2 in hESCs. We show that OCT4 regulates, and interacts with, the BMP4 pathway to specify four developmental fates. High levels of OCT4 enable self-renewal in the absence of BMP4 but specify mesendoderm in the presence ...[more]

PMID: 22482508

Similar Datasets

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.

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.

Dataset Information

NANOG-OCT4-SOX2 Regulatory Module in Human Embryonic Stem Cells (dataset 2)

Publications

Distinct lineage specification roles for NANOG, OCT4, and SOX2 in human embryonic stem cells.

Similar Datasets

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