Comprehensive Proteogenomic Analysis of Human Embryonic and Induced Pluripotent Stem Cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE116716 | GEO | 2019/06/02
REPOSITORIES: GEO
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Project description:We report that the efficiency of reprogramming human somatic cells to induced pluripotent stem cells (hiPSCs) can be dramatically improved in a microfluidic environment. Microliter-volume confinement resulted in a 50-fold increase in efficiency over traditional reprogramming by delivery of synthetic mRNAs encoding transcription factors. In these small volumes, extracellular components of the TGF-β and other signaling pathways exhibited temporal regulation that appears critical to acquisition of pluripotency. The high quality and purity of the resulting hiPSCs (μ-hiPSCs) allowed direct differentiation into functional hepatocyte- and cardiomyocyte-like cells in the same platform without additional expansion.
2016-04-10 | GSE59534 | GEO
Project description:The inclusion of oocyte factors together with Yamanaka’s previously identified reprogramming factors (OCT4, SOX2, KLF4 with or without cMYC; OSK(M)) may facilitate the reprogramming process that leads to induced pluripotent stem cells (iPSCs). We previously applied label-free LC-MS/MS analysis to search for such facilitators of reprogramming (reprogrammome), resulting in a catalog of 28 candidates that are (i) able to robustly access the cell nucleus, and (ii) shared between mature mouse oocytes and pluripotent embryonic stem (ES) cells. In the present study we hypothesized that our 28 reprogrammome candidates would also be (iii) abundant in mature mouse oocytes, (iv) depleted after oocyte-to-embryo transition, and (v) able to potentiate or replace the OSKM factors during iPSC reprogramming. Using LC-MS/MS and isotopic labeling methods we found that the abundance profiles of the 28 proteins was below that of known oocyte-specific and housekeeping proteins. Out of the 28 proteins only arginine methyltransferase 7 (PRMT7) presented a substantially changing profile during mouse embryogenesis and impacted on the conversion of mouse fibroblasts into iPSCs. PRMT7 indeed could very efficiently replace SOX2 in a factor-substitution assay yielding iPSCs. These findings show that proteomics can be used to prioritize the functional analysis of reprogrammome candidates.
2016-05-31 | PXD003093 | Pride
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: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:Chromatin remodeling molecules of the BAF complex, Brg1 and Baf155, as well as other chromatin remodeling modeling molecules have been described to enhance Oct4, Sox2, Klf4 and c-Myc mediated reprogramming of mouse somatic cells into induced pluripotent stem cells (iPSCs). Brg1 maintains pluripotency of mouse embryonic stem cells (mESCs) by modulating the expression of pluripotency genes including Oct4 in synergism with LIF/STAT signaling. Interestingly, unlike mESCs, BAF complex in human embryonic stem cells (hESCs) is composed of both BAF155 and BAF170, where BAF170 plays a role in maintaining hESCs pluripotency. In this study, we describe that BRG1 and BAF155 enhance reprogramming of adult human fibroblasts. Overexpression of BAF155 does not affect pluripotency of hiPSCs as tested by global gene expression profiling as well as in vivo and in vitro assays. Additionally, these findings show that BRG1 and BAF155 expression can enhance reprogramming even in the absence of LIF/STAT signaling.
2018-11-29 | GSE75568 | GEO
Project description:The equivalency of human induced pluripotent stem cells (hiPSCs) with human embryonic stem cells (hESCs) remains controversial. Here, we devised a strategy to assess the contribution of clonal growth, reprogramming method and genetic background to transcriptional patterns in hESCs and hiPSCs. Surprisingly, transcriptional variation originating from two different genetic backgrounds was dominant over variation due to the reprogramming method or cell type of origin of pluripotent cell lines. Moreover, the few differences we detected between isogenic hESCs and hiPSCs neither predicted functional outcome, nor distinguished an independently derived, larger set of unmatched hESC/hiPSC lines. We conclude that hESCs and hiPSCs are transcriptionally and functionally highly similar and cannot be distinguished by a consistent gene expression signature. Our data further imply that genetic background variation is a major confounding factor for transcriptional comparisons of pluripotent cell lines, explaining some of the previously observed expression differences between unmatched hESCs and hiPSCs. Expression profiling of human embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs) and fibroblasts, mostly in triplicates.
2015-10-26 | E-GEOD-73211 | 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:The reprogramming of human fibroblasts to generate induced pluripotent stem cells (hiPSCs) has been achieved through the expression of only a few exotic factors1-8, which is morphologically and molecularly verified in outer cellular states by characteristic markers, due to the remodeling of the somatic cell transcription programs in inner cellular states to the ES-like condition. Transcription factor-induced reprogramming to self-renewal and pluripotency raises the question as to how the exotic factors act to bring about these changes in the two cellular states9-11. Here, we applied RNA profiling to uncover gene expression changes and glycan profiling12 to survey structural changes in glycans, to compare hiPSCs and parental somatic cells, in total 51 cells, which were originally cultured and established, and the changes were analyzed by the combination of standard statistical techniques and a network approach13. We fist found a gene expression signature of 2502 genes with significant difference between iPSCs and SCs, and by the following network analysis by considering the expression signature, we found a network signature of 28 regulatory networks of 76 genes, which were related to the glycan biosynthetic pathways including 3 glycosyltransferase, in addition to well known signal pathways and cell-cell interaction pathways. Concomitantly, we found a glycan signature of six glycan structures characterized 16 lectins on lectin microarray by the correspondence with 12 glycosyltransferases in expression signature. In particular, the correspondence detected between the three expression signatures revealed 14 candidate glycosyltransferase, which are responsible for glycan transfer related to known epitopes for the differentiation such as SSEA epitope family in glycan biosynthesis pathway, based on characteristic changes in the cellular surface states of the hiPSCs. This sheds new light on a possible linkage between the inner and outer cellular states for reprogramming to self-renewal and pluripotency in hiPSC. Gene expressions in human induced pluripotent stem (iPS) cells and the provenance somatic cells . iPS cells were induced from four different somatic cells by infection of the retroviral vectors pMXs encoding OCT3/4, SOX2, KLF4 and c-MYC, simultaneously.
2011-03-07 | E-GEOD-20750 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE30995: An Alternative Splicing Switch Regulates Embryonic Stem Cell Pluripotency and Reprogramming [RNA-Seq] GSE31006: An Alternative Splicing Switch Regulates Embryonic Stem Cell Pluripotency and Reprogramming [ChIP-Seq] GSE31007: An Alternative Splicing Switch Regulates Embryonic Stem Cell Pluripotency and Reprogramming [protein binding microarray] GSE31948: An Alternative Splicing Switch Regulates Embryonic Stem Cell Pluripotency and Reprogramming [AS microarray] Refer to individual Series
2011-09-14 | E-GEOD-30992 | biostudies-arrayexpress
Project description:Several groups have reported the existence of a form of pluripotency that resembles that of mouse embryonic stem cells (mESCs), i.e., a naïve state, in human pluripotent stem cells; however, the characteristics vary between reports. The nuclear receptor ESRRB is expressed in mESCs and plays a significant role in their self-renewal, but its expression has not been observed in most naïve-like human induced pluripotent stem cells (hiPSCs). In this study, we modified several methods for converting hiPSCs into a naïve state through the transgenic expression of several reprogramming factors. The resulting cells express the components of the core transcriptional network of mESCs, including ESRRB, at high levels, which suggests the existence of naïve-state hiPSCs that are similar to mESCs. We also demonstrate that these cells differentiate more readily into neural cells than do conventional hiPSCs. These features may be beneficial for their use in disease modeling and regenerative medicine.
2017-11-20 | GSE104583 | GEO