HNF1αmaintains pancreaticα and β cell functionsin primary human islets [RNA-seq]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE246229 | GEO | 2023/10/30
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptomic profiling by high-throughput sequencing of primary human alpha and beta cells following RFX6 loss of function
2024-01-01 | GSE248853 | GEO
Project description:Using an integrated approach to characterize the pancreatic tissue and isolated islets from a 33-year-old with 17 years of type 1 diabetes (T1D), we found donor islets contained β cells without insulitis and lacked glucose-stimulated insulin secretion despite a normal insulin response to cAMP-evoked stimulation. With these unexpected findings for T1D, we sequenced the donor DNA and found a pathogenic heterozygous variant in hepatocyte nuclear factor 1 alpha (HNF1A). In one of the first studies of human pancreatic islets with a disease-causing HNF1A variant associated with the most common form of monogenic diabetes, we found that HNF1A dysfunction leads to insulin-insufficient diabetes reminiscent of T1D by impacting the regulatory processes critical for glucose-stimulated insulin secretion and suggest a rationale for a therapeutic alternative to current treatment.
2018-09-22 | GSE120299 | GEO
Project description:Transcriptomic profiling by high-throughput sequencing of primary human Beta cells following SIX2 or SIX3 loss of function.
2021-01-26 | GSE164626 | GEO
Project description:The functional heterogeneity of β-cells is important for metabolism and diseases, but the nature and mechanism of such variation at molecular level remain elusive. Here we explore this question by comparing both single cell RNA-seq and single cell ATAC-seq maps of healthy and type II diabetic (T2D) human islets. We dissect the T2D-associated single cell trajectory and identified signature genes and enhancers in β-cells. We also map the 3D genome of both α- and β-cells with low-input eHi-C approach to unravel the cell type-specific gene regulatory circuits. Strikingly, more than one third of the T2D signature genes show significant intra-donor heterogeneity at single cell level; these genes are functionally distinct from other signature genes that are largely invariant among cells from the same individual but differentially expressed between donors, suggesting different roles in T2D pathogenesis. Importantly, we identified consistent intra-donor variations at both transcriptomic and epigenomic levels, which strongly support the heterogenous β-cell states and transcription programs. Finally, we construct the disease-signature regulatory networks and pinpointed HNF1A as one of the top transcription factors governing T2D-associated β-cell heterogeneity. Taken together, we provide the first multi-omic characterization of β-cell heterogeneity and reveals its connection to T2D.
2023-08-10 | GSE234754 | GEO
Project description:Transcriptomic profiling by high-throughput sequencing of primary human Beta cells following SIX2 or SIX3 loss of function. SIX2 genome-binding profiling by CUT&RUN and high-throughput sequencing. This SuperSeries is composed of the SubSeries listed below.
2021-01-26 | GSE164628 | GEO
Project description:The functional heterogeneity of β-cells is important for metabolism and diseases, but the nature and mechanism of such variation at molecular level remain elusive. Here we explore this question by comparing both single cell RNA-seq and single cell ATAC-seq maps of healthy and type II diabetic (T2D) human islets. We dissect the T2D-associated single cell trajectory and identified signature genes and enhancers in β-cells. We also map the 3D genome of both α- and β-cells with low-input eHi-C approach to unravel the cell type-specific gene regulatory circuits. Strikingly, more than one third of the T2D signature genes show significant intra-donor heterogeneity at single cell level; these genes are functionally distinct from other signature genes that are largely invariant among cells from the same individual but differentially expressed between donors, suggesting different roles in T2D pathogenesis. Importantly, we identified consistent intra-donor variations at both transcriptomic and epigenomic levels, which strongly support the heterogenous β-cell states and transcription programs. Finally, we construct the disease-signature regulatory networks and pinpointed HNF1A as one of the top transcription factors governing T2D-associated β-cell heterogeneity. Taken together, we provide the first multi-omic characterization of β-cell heterogeneity and reveals its connection to T2D.
2023-08-09 | GSE194401 | GEO
Project description:The functional heterogeneity of β-cells is important for metabolism and diseases, but the nature and mechanism of such variation at molecular level remain elusive. Here we explore this question by comparing both single cell RNA-seq and single cell ATAC-seq maps of healthy and type II diabetic (T2D) human islets. We dissect the T2D-associated single cell trajectory and identified signature genes and enhancers in β-cells. We also map the 3D genome of both α- and β-cells with low-input eHi-C approach to unravel the cell type-specific gene regulatory circuits. Strikingly, more than one third of the T2D signature genes show significant intra-donor heterogeneity at single cell level; these genes are functionally distinct from other signature genes that are largely invariant among cells from the same individual but differentially expressed between donors, suggesting different roles in T2D pathogenesis. Importantly, we identified consistent intra-donor variations at both transcriptomic and epigenomic levels, which strongly support the heterogenous β-cell states and transcription programs. Finally, we construct the disease-signature regulatory networks and pinpointed HNF1A as one of the top transcription factors governing T2D-associated β-cell heterogeneity. Taken together, we provide the first multi-omic characterization of β-cell heterogeneity and reveals its connection to T2D.
2023-08-09 | GSE195986 | GEO
Project description:The functional heterogeneity of β-cells is important for metabolism and diseases, but the nature and mechanism of such variation at molecular level remain elusive. Here we explore this question by comparing both single cell RNA-seq and single cell ATAC-seq maps of healthy and type II diabetic (T2D) human islets. We dissect the T2D-associated single cell trajectory and identified signature genes and enhancers in β-cells. We also map the 3D genome of both α- and β-cells with low-input eHi-C approach to unravel the cell type-specific gene regulatory circuits. Strikingly, more than one third of the T2D signature genes show significant intra-donor heterogeneity at single cell level; these genes are functionally distinct from other signature genes that are largely invariant among cells from the same individual but differentially expressed between donors, suggesting different roles in T2D pathogenesis. Importantly, we identified consistent intra-donor variations at both transcriptomic and epigenomic levels, which strongly support the heterogenous β-cell states and transcription programs. Finally, we construct the disease-signature regulatory networks and pinpointed HNF1A as one of the top transcription factors governing T2D-associated β-cell heterogeneity. Taken together, we provide the first multi-omic characterization of β-cell heterogeneity and reveals its connection to T2D.
2023-08-09 | GSE195522 | GEO
Project description:HNF1αmaintains pancreaticα and β cell functionsin primary human islets
| PRJNA1032098 | ENA
Project description:Alpha TC1 (αTC1) and Beta-TC-6 (βTC6) mouse islet cell lines are cellular models of islet (dys)function and type 2 diabetes (T2D). However, genomic characteristics of these cells, and their similarities to primary islet alpha and beta cells, are undefined. Here, we report the epigenomic (ATAC-seq) and transcriptomic (RNA-seq) landscapes of αTC1 and βTC6 cells. Each cell type exhibits hallmarks of its primary islet cell counterpart including cell-specific expression of beta (e.g., Pdx1) and alpha (e.g., Arx) cell transcription factors (TFs), and enrichment of binding motifs for these TFs in αTC1/βTC6 cis-regulatory elements. αTC1/βTC6 transcriptomes overlap significantly with the transcriptomes of primary mouse/human alpha and beta cells. Our data further indicate that ATAC-seq detects cell-specific regulatory elements for cell types comprising ≥ 20% of a mixed cell population. We identified αTC1/βTC6 cis-regulatory elements orthologous to those containing type 2 diabetes (T2D)-associated SNPs in human islets for 33 loci, suggesting these cells’ utility to dissect T2D molecular genetics in these regions. Together, these maps provide important insights into the conserved regulatory architecture between αTC1/βTC6 and primary islet cells that can be leveraged in functional (epi)genomic approaches to dissect the genetic and molecular factors controlling islet cell identity and function.
2017-09-20 | GSE99954 | GEO