Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNAseq data from zebrafish pancreatic cells

ABSTRACT: RNAseq from the pancreatic acinar, alpha, beta and delta cells from zebrafish

PROVIDER: PRJEB10140 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR1675931_1.fastq.gz	Fastqsanger.gz
	ERR1675931_2.fastq.gz	Fastqsanger.gz
	ERR977576_1.fastq.gz	Fastqsanger.gz
	ERR977576_2.fastq.gz	Fastqsanger.gz
	ERR977577_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 40

Similar Datasets

Transcriptional program for induced delta cell on day10

Project description:Direct lineage conversion of adult cells is a promising approach for regenerative medicine. A major challenge of lineage conversion is to generate specific subtypes of cells, closely related cells with distinct properties. The pancreatic islets contain three major hormone-secreting endocrine subtypes: insulin+ β-cells, glucagon+ α-cells, and somatostatin+ δ-cells. We previously reported that a combination of three transcription factors, Ngn3, Mafa, and Pdx1, directly reprogram pancreatic acinar cells to β-cells. We now show that acinar cells can be converted to δ-like and α-like cells by Ngn3 and Ngn3+Mafa respectively. Thus, three major islet endocrine subtypes can be derived by acinar reprogramming. Ngn3 promotes establishment of a generic endocrine state in acinar cells at the onset of reprogramming in addition to promoting δ-specification. Mafa and Pdx1 suppress δ-specification in α- and β-cell formation. These studies identify a set of defined factors whose combinatorial actions reprogram acinar cells to distinct islet endocrine subtypes in vivo. induced beta cells samples at day 10 collected for the microarray

2013-11-20 | E-GEOD-52522 | biostudies-arrayexpress

Transcriptional program for induced delta cell on day10

2013-11-20 | GSE52522 | GEO

Single-cell transcriptomics reveals unique features of human pancreatic islet cell subtypes

Project description:We report the single-cell RNA-seq based identification of 6 known human islet cell types (alpha cells, beta cells, delta cells, pp cells, acinar cells and duct cells) based on the expression of known marker genes. We further assess cell type specific gene expression and suggest novel marker genes for several cell types. Transcriptional dissection of human pancreatic islets of one donor using single-cell RNA-seq

2016-01-05 | E-GEOD-73727 | biostudies-arrayexpress

Beta-cell dependence to alpja-cell signals for proper insulin secretion in mouse pancreatic islets

Project description:The islets of Langerhans play a central role in detecting and regulating blood glucose levels. While insulin-producing beta-cells are well-characterized, much remains to be studied about the other cell types in pancreatic islets (alpha-, delta-, PPY-, and epsilon-cells). In this context, we have developed chimeric organoids that we use to understand the interactions between the different cell populations present in pancreatic islets. We previously developed an efficient approach to purify the major cell populations present in pancreatic islets (alpha, beta, and delta) using flow cytometry. We have now developed a technique to re-aggregate these sorted cell populations, enabling the production of clusters (pseudo-islets) in which we can modulate the proportion of each cell population on demand. We generated clusters devoid of delta cells or both alpha and delta cells and confirmed this depletion at the gene and protein levels. We then evaluated the function of these pseudo-islets by measuring glucose-stimulated insulin secretion. The absence of delta-cells did not affect insulin secretion. However, the insulin secretory capacity of pseudo-islets lacking both alpha- and delta-cells was significantly reduced. Transcriptomic analysis of these pseudo-islets did not reveal a loss of beta-cell identity as the cause of the observed functional impairment but highlighted potential new signaling pathways influenced by alpha- and delta-cells. This demonstrates the importance of interactions among different endocrine cell types within the islet for the function of pancreatic beta-cells. It represents a new and effective tool for identifying signaling pathways and compounds that directly or indirectly (via other endocrine cell types) modulate the identity and function of pancreatic endocrine cells.

2025-05-01 | GSE292158 | GEO

Single cell RNA sequencing of DHT treated human male Islet cells

Project description:We analyzed DHT’s effects on the human islet cell transcriptome using single-cell RNA sequencing. We identified the four main endocrine cell subtypes, α, β, δ, pancreatic polypeptide (PPY) cells, as well as ductal, acinar, endothelial, and immune cells by unbiased graph-based clustering. Resulting data was used to evaluate differentially expressed genes across these cell clusters.

2023-04-17 | GSE201256 | GEO

3D chromatin organizations of human pancreatic cells reveal cell-type specific regulatory architectures of diabetes risk

Project description:To understand the cell-type specific regulatory architectures of diabetes risk, we generated transcriptomic and 3D epigenomic profiles from sorted human pancreatic acinar, alpha, and beta cells using Arima Hi-C.

2022-09-06 | GSE188311 | GEO

ATAC sequencing of zebrafish pancreatic beta-cells

Project description:Pancreatic beta-calls are responsible for regulating the blood glucose levels via secretion of hormone insulin. To elucidate the chromatin state in zebrafish beta-cells, we performed ATAC-Sequencing.

2021-12-31 | GSE152199 | GEO

Single-cell transcriptomics reveals unique features of human pancreatic islet cell subtypes

2016-01-05 | GSE73727 | GEO

ATAC sequencing of zebrafish pancreatic beta-cells

Project description:ATAC sequencing of zebrafish pancreatic beta-cells

| PRJNA638621 | ENA

Single-cell RNA sequencing of zebrafish pancreatic cells

Project description:The pancreatic beta-cells regulate blood glucose levels by secreting the hormone insulin in response to increasing glucose levels. Recent work has identified molecular and functional heterogeneity among the beta-cell community. To ontain an unbiased picture into the molecular heterogeneity present in zebrafish pancreatic cells, we performed droplet based next-generation sequencing of individual pancreatic cells. Using unsupervised clustering, we could identify all the major cell types present in the pancreas. Moreover, we could define sub-populations within the major cell-types, demonstrating the presence of molecular heterogeneity within nominally homogenous cell-populations.

2019-04-05 | GSE123662 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data