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Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [FI-snMultiome-seq]

ABSTRACT: Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [FI-snMultiome-seq]

PROVIDER: PRJNA895709 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR22096400.fastq.gz	Fastqsanger.gz
	SRR22096401.fastq.gz	Fastqsanger.gz
	SRR22096402.fastq.gz	Fastqsanger.gz
	SRR22096403.fastq.gz	Fastqsanger.gz
	SRR22096404.fastq.gz	Fastqsanger.gz

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Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [FI-snMultiome-seq]

Project description:Cell fate can be reprogrammed by ectopic expression of lineage-specific transcription factors (TF). However, the exact cell state transitions during transdifferentiation are still poorly understood. Here, we have generated pancreatic exocrine cells of ductal epithelial identity from human fibroblasts using a set of six TFs. We mapped the molecular determinants of lineage dynamics using a factor-indexing method based on single-nuclei multiome sequencing (FI-snMultiome-seq) that enables dissecting the role of each individual TF and pool of TFs in cell fate conversion. We show that transition from mesenchymal fibroblast identity to epithelial pancreatic exocrine fate involves two deterministic steps: an endodermal progenitor state defined by activation of HHEX with FOXA2 and SOX17, and a temporal GATA4 activation essential for maintenance of pancreatic cell fate program. Collectively, our data suggest that transdifferentiation – although being considered a direct cell fate conversion method – occurs through transient progenitor states orchestrated by stepwise activation of distinct TFs

2023-08-14 | GSE216858 | GEO

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ATAC-seq]

2023-08-14 | GSE216855 | GEO

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ChIP-seq]

2023-08-14 | GSE216857 | GEO

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [RNA-seq]

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Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells

Project description:Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells

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Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ChIP-seq]

Project description:Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ChIP-seq]

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Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ATAC-seq]

Project description:Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ATAC-seq]

| PRJNA895702 | ENA

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [RNA-seq]

Project description:Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [RNA-seq]

| PRJNA895704 | ENA

Escherichia coli DH5alpha Transcriptome Sequencing under Wi-Fi radiofrequency radiation

Project description:Purpose: In this study, Escherichia coli DH5alpha whole transcriptome sequencing was performed in order to compare the different gene expression profiles between control and exposed to Wi-Fi radiofrequency radiations. Methods:Escherichia coli DH5alpha were exposed to Wi-Fi radiations. Total RNA samples( control and exposed ) were extracted by bacteria protect-Rneasy kit,treated with DNAase and subjected to sequnecing using an Illumina-NovaSeq 6000 platform. Library preparation and sequencing were performed by Macrogen (south korea).Trimmed reads are mapped to reference genome with Bowtie. HTseq was used for expression profiling. Expression profile was calculated for each sample and gene as read count.

2019-10-21 | GSE126584 | GEO

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