Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [Smart-seq3xpress]

ABSTRACT: Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [Smart-seq3xpress]

PROVIDER: PRJNA1042636 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR26873200_1.fastq.gz	Fastqsanger.gz
	SRR26873200_2.fastq.gz	Fastqsanger.gz
	SRR26873300_1.fastq.gz	Fastqsanger.gz
	SRR26873300_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 1279

Similar Datasets

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets

Project description:Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets

| PRJNA1042634 | ENA

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [Smart-seq3xpress]

Project description:The precise roles and prevalence of bihormonal cells within pancreatic islets are not fully understood. Here, we utilized genetically engineered mouse strains with specific fluorescent markers for pancreatic endocrine cells and advanced imaging flow cytometry to investigate the presence of bihormonal cells in adult mouse islets. Our results revealed a marginal presence of such cells, contradicting the hypothesis that transdifferentiation contributes significantly to β-cell restoration in diabetic mice or during pregnancy-induced β-cell proliferation. Employing single-cell RNA sequencing (scRNA-seq), we observed that Gcg+Ppy+ bihormonal cells closely resemble either α- or PP-cells, lacking distinct gene expression profiles. This finding suggests bihormonal cells may not represent a unique lineage but could be transitional states in cellular differentiation. Furthermore, a dual-genetic tracing approach revealed that embryonic Ins+Gcg+ cells differentiate into α-cells postnatally. By integrating gene co-expression network analysis with 10x Genomics scRNA-seq data, we established a hierarchical classification of endocrine cells in mouse and human islets, identifying distinct populations with minimal overlap in conserved genes between species. This study not only refines our understanding of bihormonal cells in islet function and development but also highlights the complexities in translating murine model findings to human applications, emphasizing the need for species-specific considerations in diabetes research and therapy development.

2025-06-16 | GSE248194 | GEO

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [10X Genomics]

Project description:Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [10X Genomics]

| PRJNA1042635 | ENA

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [10X Genomics]

2025-06-16 | GSE248195 | GEO

Smart-seq2 single-cell RNA sequencing of human pancreatic islets

Project description:Previous study (Segerstolpe Å et.al., Cell Metab . 2016) has revealed the single-cell landscape of human pancreatic islets from 10 human individuals. Here, we have performed Smart-seq2 scRNA-seq of additional 4 healthy and 6 T2D individuals.

2025-08-22 | GSE214517 | GEO

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets

Project description:This SuperSeries is composed of the SubSeries listed below.

2025-06-14 | GSE248196 | GEO

Smart-seq2 single-cell RNA sequencing of human pancreatic islets

Project description:Smart-seq2 single-cell RNA sequencing of human pancreatic islets

| PRJNA885793 | ENA

A quantitative model for characterizing the evolutionary history of mammalian gene expression

Project description:A quantitative model for characterizing the evolutionary history of mammalian gene expression

| PRJNA415552 | ENA

Transcriptional profiling of mammalian preimplantation embryos

Project description:We developed an adapted version of Smart-seq2, which we call Smart-seq+5', to capture both internal transcript fragments, as well as 5' transcript information, in mammalian preimplantation stages on a single-embryo level. Focussing specifically on transposable elements, we find many conserved patterns and features shared between mouse, pig, cow, rabbit and rhesus.

2025-01-19 | GSE225056 | GEO

Single nuclei multiomics of human stem cell-derived islets identifies deficiencies in lineage specification

Project description:We profiled the transcritpome and ATAC profiles of human pancreatic islets generated from pluripotent stem cells. Multiomic profiling was also performed on primary human islets and in vivo matured SC-islets for comparision. We catalogued the ATAC associated signatures for each cell types in SC-islets and compared them to their human primiary islet counterparts. In vivo maturation of SC-islets were also compared with in vitro SC-islets. In this study, we identified key regulators associated with islet identity during differentiation and maturation. Gene manipulation of CTCF affects differentiating SC-islet cell fate to enteroendocrine-like lineage. ARID1B knockdown caueses islet cells to present mature signatures. These gene altered SC-islets were also sequenced.

2023-03-25 | GSE199636 | 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