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Profiling of chromatin accessibility in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors (OC1, OC2, OC3)

ABSTRACT: Profiling of chromatin accessibility in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors (OC1, OC2, OC3)

PROVIDER: PRJNA491518 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR7866930_1.fastq.gz	Fastqsanger.gz
	SRR7866930_2.fastq.gz	Fastqsanger.gz
	SRR7866940_1.fastq.gz	Fastqsanger.gz
	SRR7866940_2.fastq.gz	Fastqsanger.gz
	SRR7866931_1.fastq.gz	Fastqsanger.gz

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Profiling of chromatin accessibility in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors (OC1, OC2, OC3)

Project description:Remodeling of chromatin accessibility is necessary for successful reprogramming of fibroblasts to neurons. However, it is still not fully known which transcription factors can induce a neuronal chromatin accessibility profile when overexpressed in fibroblasts. To identify such transcription factors, we here used ATAC-sequencing to generate differential chromatin accessibility profiles between human fibroblasts and iNeurons, an in vitro neuronal model system obtained by overexpression of Neurog2 in induced pluripotent stem cells (iPSCs). We found that the ONECUT transcription factor sequence motif was strongly associated with differential chromatin accessibility between iNeurons and fibroblasts. All three ONECUT transcription factors associated with this motif (ONECUT1, ONECUT2 and ONECUT3) induced neuronal morphology and expression of neuronal genes within two days of overexpression in fibroblasts. We observed widespread remodeling of chromatin accessibility; in particular, we found that chromatin regions that contain the ONECUT motif were in- or lowly accessible in fibroblasts and became accessible after the overexpression of ONECUT1, ONECUT2 or ONECUT3. There was substantial overlap with iNeurons, still, many regions that gained accessibility following ONECUT overexpression were not accessible in iNeurons. Our study highlights the potential of ONECUT transcription factors for direct neuronal reprogramming.

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Profiling of gene expression using RNA-Seq in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors

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Expression data from human iPSCs and iPSC-derived neurons

Project description:In this dataset, we studied human dopaminergic neuron differenation from induced pluripotent stem cells (iPSCs). We included the gene expression data obtained from iPSCs and iPSC-derived dopaminergic neurons. This dataset is used to predict chromatin accessibility in iPSCs and iPSC-derived neurons using BIRD (Big data Regression for predicting DNase I hypersensitivity).

2016-12-30 | GSE93012 | GEO

Profiling of gene expression using RNA-Seq in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors

Project description:Profiling of gene expression using RNA-Seq in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors

| PRJNA491516 | ENA

mRNA expression data from iPSCs, ntESCs and iPSC-nt-ESCs

Project description:We generated three kinds of genetically identical mouse reprogrammed cells: induced pluripotent stem cells (iPSCs), nuclear transfer embryonic stem cells (ntESCs) and iPSC-nt-ESCs that are established after successively reprogramming of iPSCs by nuclear transfer (NT). NtESCs show better developmental potential than iPSCs, whereas iPSC-nt-ESCs display worse developmental potential than iPSCs. We used microarrays to distinguish the gene expression differences among three pluriptoent stem cells and identified that imprinted genes had a similar expression pattern in iPSCs and iPSC-nt-ESCs. We sought to obtain genetic identical pluripotent stem cell lines in order to minimize genetic variations among different reprogrammed cells. To that end, we established a genetically homogenous secondary reprogramming system, in which mouse embryonic fibroblasts (MEFs) carrying doxycycline (dox)-inducible lentiviruses expressing Oct4, Sox2, Klf4 and c-Myc were isolated and used as donors for different reprogramming experiments. We generated iPSCs after plating MEFs in the presence of dox in ES culture conditions, and then derived ntESCs after transplantation of the nucleus from the same MEFs into enucleated oocyte. Furthermore, we successively reprogrammed iPSCs by means of NT and established a set of nt-iPSC lines. Pluripotent stem cells generated from different reprogramming strategies were for RNA extraction and hybridization on Affymetrix microarrays.

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mRNA expression data from iPSCs, ntESCs and iPSC-nt-ESCs

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Detection Of Residual iPSCs Following Differentiation of iPSC-Derived Retinal Pigment Epithelial Cells

Project description:PURPOSE: The goal of this study was to develop a lot release assay for iPSC residuals following directed differentiation of iPSCs to retinal pigment epithelial (RPE) cells. METHODS: RNA Sequencing (RNA Seq) of iPSCs and RPE derived from them was used to identify pluripotency markers downregulated in RPE cells. Quantitative real time PCR (qPCR) was then applied to assess iPSC residuals in iPSC-derived RPE. The limit of detection (LOD) of the assay was determined by performing spike-in assays with known quantities of iPSCs serially diluted into an RPE suspension. RESULTS: ZSCAN10 and Lin28a were among 8 pluripotency markers identified by RNA Seq as downregulated in RPE. Based on copy number and expression of pseudogenes and lncRNAs ZSCAN10 and Lin28a were chosen for use in qPCR assays for residual iPSCs. Reverse transcription PCR indicated generally uniform expression of ZSCAN10 and Lin28a in 21 clones derived from 8 iPSC donors with no expression of either in RPE cells derived from 5 donor lines. Based on qPCR, ZSCAN10 and Lin28a expression in iPSCs was generally uniform. The LOD for ZSCAN10 and Lin28a in qPCR assays was determined using spike in assays of RPE derived from 2 iPSC lines. Analysis of DDCt found the limit of detection to be <0.01% of cells, equivalent to <1 iPSC / 10,000 RPE cells in both iPSC lines. CONCLUSIONS: qPCR for ZSCAN10 and Lin28a detects <1 in 10,000 residual iPSCs in a population of iPSC-derived RPE providing an adequate LOD of iPSC residuals for lot release testing.

2024-10-03 | GSE276359 | GEO

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Project description:We report the application of next-generation sequencing (NGS) to analysis the gene expression profile among three different cells:SF-MSCs, iPSCs and iPSC-MSCs. Our results shown that iPSC-MSCs were more similar to SF-MSCs than iPSCs.

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The effect of over expression of long non-coding RNA (ENSG00000233262) transcriptome changes in patient-derived human-induced pluripotent stem cells (IPSCs)

Project description:We investigate the transcriptome changes in IPSC overexpressing ENSG00000233262 as compared to wilt-type IPSCs using an unbiased approach

2021-07-31 | GSE165731 | GEO

Impact of regulatory variation across human iPSCs and differentiated cells [ATAC-seq iPSC]

Project description:Induced pluripotent stem cells (iPSCs) are an essential tool for studying cellular differentiation and cell types that are otherwise difficult to access. We investigated the use of iPSCs and iPSC-derived cells to study the impact of genetic variation on gene regulation across different cell types and as models for studies of complex disease. To do so, we established a panel of iPSCs from 58 well-studied Yoruba lymphoblastoid cell lines (LCLs); 14 of these lines were further differentiated into cardiomyocytes. We characterized regulatory variation across individuals and cell types by measuring gene expression levels, chromatin accessibility and DNA methylation. Our analysis focused on a comparison of inter-individual regulatory variation across cell types. While most cell type-specific regulatory quantitative trait loci (QTLs) lie in chromatin that is open only in the affected cell types, we found that 20% of cell type-specific regulatory QTLs are in shared open chromatin. This observation motivated us to develop a deep neural network to predict open chromatin regions from DNA sequence alone. Using this approach, we were able to use the sequences of segregating haplotypes to predict the effects of common SNPs on cell type-specific chromatin accessibility.

2017-12-23 | GSE108458 | GEO

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