Massively parallel characterization of regulatory dynamics during neural induction [RNA-seq II]
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE134678 | GEO | 2019/10/23
REPOSITORIES: GEO
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Project description:The molecular components governing neural induction remain largely unknown. Here, we used a suite of genomic and computational tools to comprehensively identify these components. We performed RNA-seq, ChIP-seq (H3K27ac, H3K27me3) and ATAC-seq on human embryonic stem cells (hESCs) at seven early neural differentiation time points (0-72 hours) and identified thousands of induced genes and their putative regulatory regions. We analyzed the function of ~2,500 selected regions using massively parallel reporter assays at all time points. We found numerous temporal enhancers that correlated with similarly timed epigenetic marks and gene expression. Development of a prioritization method that incorporated all genomic data identified key transcription factors (TFs) involved in neural induction. Individual overexpression of eleven TFs and several combinations in hESCs found novel neural induction regulators. Combined, our results provide a comprehensive map of genes and functional regulatory elements involved in neural induction and identify master regulator TFs that are instrumental for this process.
2019-10-23 | GSE115042 | GEO
Project description:The molecular components governing neural induction remain largely unknown. Here, we used a suite of genomic and computational tools to comprehensively identify these components. We performed RNA-seq, ChIP-seq (H3K27ac, H3K27me3) and ATAC-seq on human embryonic stem cells (hESCs) at seven early neural differentiation time points (0-72 hours) and identified thousands of induced genes and their putative regulatory regions. We analyzed the function of ~2,500 selected regions using massively parallel reporter assays at all time points. We found numerous temporal enhancers that correlated with similarly timed epigenetic marks and gene expression. Development of a prioritization method that incorporated all genomic data identified key transcription factors (TFs) involved in neural induction. Individual overexpression of eleven TFs and several combinations in hESCs found novel neural induction regulators. Combined, our results provide a comprehensive map of genes and functional regulatory elements involved in neural induction and identify master regulator TFs that are instrumental for this process.
2019-10-23 | GSE115045 | GEO
Project description:The molecular components governing neural induction remain largely unknown. Here, we used a suite of genomic and computational tools to comprehensively identify these components. We performed RNA-seq, ChIP-seq (H3K27ac, H3K27me3) and ATAC-seq on human embryonic stem cells (hESCs) at seven early neural differentiation time points (0-72 hours) and identified thousands of induced genes and their putative regulatory regions. We analyzed the function of ~2,500 selected regions using massively parallel reporter assays at all time points. We found numerous temporal enhancers that correlated with similarly timed epigenetic marks and gene expression. Development of a prioritization method that incorporated all genomic data identified key transcription factors (TFs) involved in neural induction. Individual overexpression of eleven TFs and several combinations in hESCs found novel neural induction regulators. Combined, our results provide a comprehensive map of genes and functional regulatory elements involved in neural induction and identify master regulator TFs that are instrumental for this process.
2019-10-23 | GSE115044 | GEO
Project description:The molecular components governing neural induction remain largely unknown. Here, we used a suite of genomic and computational tools to comprehensively identify these components. We performed RNA-seq, ChIP-seq (H3K27ac, H3K27me3) and ATAC-seq on human embryonic stem cells (hESCs) at seven early neural differentiation time points (0-72 hours) and identified thousands of induced genes and their putative regulatory regions. We analyzed the function of ~2,500 selected regions using massively parallel reporter assays at all time points. We found numerous temporal enhancers that correlated with similarly timed epigenetic marks and gene expression. Development of a prioritization method that incorporated all genomic data identified key transcription factors (TFs) involved in neural induction. Individual overexpression of eleven TFs and several combinations in hESCs found novel neural induction regulators. Combined, our results provide a comprehensive map of genes and functional regulatory elements involved in neural induction and identify master regulator TFs that are instrumental for this process.
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Project description:While the transcriptional network of human embryonic stem cells (hESCs) has been extensively studied, relatively little is known about how post-transcriptional modulations determine hESC function. RNA-binding proteins play central roles in RNA regulation, including translation and turnover. Here we show that the RNA-binding protein CSDE1 is highly expressed in hESCs to maintain their undifferentiated state and prevent default neural fate. Notably, loss of CSDE1 accelerates neural differentiation and potentiates neurogenesis. Conversely, ectopic expression of CSDE1 impairs neural differentiation. We find that CSDE1 post-transcriptionally modulates core components of multiple regulatory nodes of hESC identity, neuroectoderm commitment and neurogenesis. Among these key pro-neural/neuronal factors, CSDE1 binds fatty acid binding protein 7 (FABP7) and vimentin (VIM) mRNAs as well as transcripts involved in neuron projection development regulating their stability and translation. Thus, our results uncover CSDE1 as a central post-transcriptional regulator of hESC identity and neurogenesis. This proteomics dataset contains the data from co-immunopreciptation experiments using CSDE1 antibody in hESCs
2018-05-16 | PXD007271 | Pride
Project description:Specific neuronal types derived from embryonic stem cells (ESCs) can facilitate mechanistic studies and potentially aid in regenerative medicine. Existing induction methods, however, mostly rely on the effects of growth factors, which generally tend to result in mixed populations of neurons. Here we report that over-expression of specific transcription factors (TFs) in ESCs can rather guide the differentiation of ESCs towards specific neuron types. Analysis of published data on gene expression changes early (two days) after induction of each of 185 induced TFs implicated candidate TFs for further ESC differentiation studies. After induction for 6 days four of them (Ascl1, Smad7, Nr2f1, and Ascl2) generated a high proportion (>35%) of cells with neural progenitor marker PSA-NCAM and clear neural morphology on day 14. The capacity of these TFs to induce neural differentiation is inferred to be most likely linked to early activation of the Notch signaling pathway. Among the neuron-like cells, GABA-positive cells were most abundant (32-97% for 4 top TFs), whereas Isl1-positive cells and TH-positive cells were less abundant (<12% and <5%, respectively). Enrichment of cells obtained with the induction of Ascl1, Smad7, and Nr2f1 using beads with anti-PSA-NCAM antibody resulted in essentially pure population of neuron-like cells with expression profiles similar to neural tissues and highly expressed markers of GABAergic neurons. A time-course experiment with induction of Ascl1 showed early upregulation of most neural-specific and GABAergic-specific mRNA and miRNAs. We identified mRNA and miRNAs, whose expression depended on the induction of Ascl1, and showed that they were enriched in Ascl1 target genes. In summary, this study indicates that induction of transcription factors is a promising approach to generate candidate specific neural cell types from ESCs. Individual transcription factors (TFs) (Ascl1, Smad7, and Nr2f1) were induced in mouse ESCs to facilitate neural differentiation. Expression of transgenic TFs was repressed by doxycycline (Dox); thus, TFs were induced in Dox- conditions, whereas Dox+ conditions represent control cells with no expression of a transgene. For neural differentiation, cells were cultured 3 days in alpha-MEM medium and then in NeuroCult neural differentiation medium. Cells marked as PSANCAM+ were enriched by magnetic microbeads with anty-PSA-NCAM antibody (Miltenyi Biotec) on day 6 of culturing, whereas remaining cells are marked as PSANCAM-. Both PSANCAM+ and PSANCAM- cells were then cultured for another 8 days (total 14 days in differentiation). A time course experiment with Ascl1 induction did not include cell enrichment procedure. RNA was extracted with either Trizol (invitrogen) or mirVana kit (Thermo Fisher Scientific).
2016-07-21 | E-GEOD-78949 | biostudies-arrayexpress
Project description:We compared hESCs with their neuronal counterpart to quantify differences in the expression of cold-shock domain containing proteins. While the transcriptional network of human embryonic stem cells (hESCs) has been extensively studied, relatively little is known about how post-transcriptional modulations determine hESC function. RNA-binding proteins play central roles in RNA regulation, including translation and turnover. Here we show that the RNA-binding protein CSDE1 is highly expressed in hESCs to maintain their undifferentiated state and prevent default neural fate. Notably, loss of CSDE1 accelerates neural differentiation and potentiates neurogenesis. Conversely, ectopic expression of CSDE1 impairs neural differentiation. We find that CSDE1 post-transcriptionally modulates core components of multiple regulatory nodes of hESC identity, neuroectoderm commitment and neurogenesis. Among these key pro-neural/neuronal factors, CSDE1 binds fatty acid binding protein 7 (FABP7) and vimentin (VIM) mRNAs as well as transcripts involved in neuron projection development regulating their stability and translation. Thus, our results uncover CSDE1 as a central post-transcriptional regulator of hESC identity and neurogenesis.
2018-05-16 | PXD007738 | Pride
Project description:Specific neuronal types derived from embryonic stem cells (ESCs) can facilitate mechanistic studies and potentially aid in regenerative medicine. Existing induction methods, however, mostly rely on the effects of growth factors, which generally tend to result in mixed populations of neurons. Here we report that over-expression of specific transcription factors (TFs) in ESCs can rather guide the differentiation of ESCs towards specific neuron types. Analysis of published data on gene expression changes early (two days) after induction of each of 185 induced TFs implicated candidate TFs for further ESC differentiation studies. After induction for 6 days four of them (Ascl1, Smad7, Nr2f1, and Ascl2) generated a high proportion (>35%) of cells with neural progenitor marker PSA-NCAM and clear neural morphology on day 14. The capacity of these TFs to induce neural differentiation is inferred to be most likely linked to early activation of the Notch signaling pathway. Among the neuron-like cells, GABA-positive cells were most abundant (32-97% for 4 top TFs), whereas Isl1-positive cells and TH-positive cells were less abundant (<12% and <5%, respectively). Enrichment of cells obtained with the induction of Ascl1, Smad7, and Nr2f1 using beads with anti-PSA-NCAM antibody resulted in essentially pure population of neuron-like cells with expression profiles similar to neural tissues and highly expressed markers of GABAergic neurons. A time-course experiment with induction of Ascl1 showed early upregulation of most neural-specific and GABAergic-specific mRNA and miRNAs. We identified mRNA and miRNAs, whose expression depended on the induction of Ascl1, and showed that they were enriched in Ascl1 target genes. In summary, this study indicates that induction of transcription factors is a promising approach to generate candidate specific neural cell types from ESCs. Transcription factor Ascl1 was induced in mouse ESCs to facilitate neural differentiation. Expression of transgenic Ascl1 was repressed by doxycycline (Dox); thus, it were induced in Dox- conditions, whereas Dox+ conditions represent control cells with no expression of Ascl1 transgene. For neural differentiation, cells were cultured 3 days in alpha-MEM medium and then - in NeuroCult neural differentiation medium for 2-11 days (total up to 14 days). RNA was extracted with mirVana kit (Thermo Fisher Scientific).
2016-07-21 | E-GEOD-78950 | biostudies-arrayexpress
Project description:While the transcriptional network of human embryonic stem cells (hESCs) has been extensively studied, relatively little is known about how post-transcriptional modulations determine hESC function. RNA-binding proteins play central roles in RNA regulation, including translation and turnover. Here we show that the RNA-binding protein CSDE1 is highly expressed in hESCs to maintain their undifferentiated state and prevent default neural fate. Notably, loss of CSDE1 accelerates neural differentiation and potentiates neurogenesis. Conversely, ectopic expression of CSDE1 impairs neural differentiation. We find that CSDE1 post-transcriptionally modulates core components of multiple regulatory nodes of hESC identity, neuroectoderm commitment and neurogenesis. Among these key pro-neural/neuronal factors, CSDE1 binds fatty acid binding protein 7 (FABP7) and vimentin (VIM) mRNAs as well as transcripts involved in neuron projection development regulating their stability and translation. Thus, our results uncover CSDE1 as a central post-transcriptional regulator of hESC identity and neurogenesis.
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Project description:Gene regulatory elements play a key role in orchestrating gene expression during cellular differentiation, but what determines their function over time remains largely unknown. Here, we performed perturbation-based massively parallel reporter assays at seven early time points of neural differentiation to systematically characterize how regulatory elements and motifs within them guide cellular differentiation. By perturbing over 2,000 putative DNA binding motifs in active regulatory regions, we delineated four categories of functional elements, and observed that activity direction is mostly determined by the sequence itself, while the magnitude of effect depends on the cellular environment. We also find that fine-tuning transcription rates is often achieved by a combined activity of adjacent activating and repressing elements. Our work provides a blueprint for the sequence components needed to induce different transcriptional patterns in general and specifically during neural differentiation.
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