Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Type 1 diabetes risk genes mediate pancreatic beta cell survival in response to proinflammatory cytokines

ABSTRACT: Beta cells intrinsically contribute to the pathogenesis of type 1 diabetes (T1D), but the genes and molecular processes that mediate beta cell survival in T1D remain largely unknown. We combined high throughput functional genomics and human genetics to identify T1D risk loci regulating genes affecting beta cell survival in response to the proinflammatory cytokines IL-1b, IFNg, and TNFa. We mapped cytokine-responsive candidate cis-regulatory elements (cCREs) active in beta cells using ATAC-seq and single nuclear ATAC-seq (snATAC-seq), and linked cytokine-responsive beta cell cCREs to putative target genes using single cell co-accessibility and HiChIP. We performed a genome-wide pooled CRISPR loss-of-function screen in EndoC-βH1 cells, which identified hundreds of genes affecting cytokine-induced beta cell loss. We identified thousands of variants in cytokine-responsive beta cell cCREs altering transcription factor (TF) binding using high-throughput SNP-SELEX. Together our findings reveal processes and genes acting in beta cells during cytokine exposure that intrinsically modulate risk of T1D.

ORGANISM(S): Homo sapiens

PROVIDER: GSE205853 | GEO | 2022/10/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Interpreting type 1 diabetes risk with genetics and single cell epigenomics

Project description:Genetic risk variants identified in genome-wide association studies (GWAS) of complex disease are primarily non-coding, and translating risk variants into mechanistic insight requires detailed gene regulatory maps in disease-relevant cell types. Here, we combined a GWAS of type 1 diabetes (T1D) in 520,580 samples with candidate cis-regulatory elements (cCREs) in pancreas and peripheral blood mononuclear cell types defined using single nucleus ATAC-seq (snATAC-seq) of 131,554 nuclei. T1D risk variants were enriched in cCREs active in T cells and additional cell types, including acinar and ductal cells of the exocrine pancreas. Risk variants at multiple T1D signals overlapped exocrine-specific cCREs linked to genes with exocrine-specific expression. At the CFTR locus, T1D risk variant rs7795896 mapped in a ductal-specific cCRE which regulated CFTR, and the risk allele reduced transcription factor binding, enhancer activity and CFTR expression in ductal cells. These findings support a role for the exocrine pancreas in T1D pathogenesis and highlight the power of large-scale GWAS and single cell epigenomics for understanding the cellular origins of complex disease.

2021-03-15 | GSE163160 | GEO

The impact of pro-inflammatory cytokines on the β-cell regulatory landscape provides insights into the genetics of type 1 diabetes

Project description:Early stages of type 1 diabetes (T1D) are characterized by local autoimmune inflammation and progressive loss of insulin-producing pancreatic β cells. We show here that exposure to pro-inflammatory cytokines unmasks a marked plasticity of the β-cell regulatory landscape. We expand the repertoire of human islet regulatory elements by mapping stimulus-responsive enhancers linked to changes in the β-cell transcriptome, proteome and 3D chromatin structure. Our data indicates that the β cell response to cytokines is mediated by the induction of novel regulatory regions as well as the activation of primed regulatory elements pre-bound by islet-specific transcription factors. We found that T1D-associated loci are enriched of the newly mapped cis-regulatory regions and identify T1D-associated variants disrupting cytokine-responsive enhancer activity in human β cells. Our study illustrates how β cells respond to a pro-inflammatory environment and implicate a role for stimulus-response islet enhancers in T1D.

2019-09-20 | GSE137136 | GEO

The impact of pro-inflammatory cytokines on the β-cell regulatory landscape provides insights into the genetics of type 1 diabtes [UMI-4C]

Project description:Early stages of type 1 diabetes (T1D) are characterized by local autoimmune inflammation and progressive loss of insulin-producing pancreatic β cells. We show here that exposure to pro-inflammatory cytokines unmasks a striking plasticity of the β-cell regulatory landscape. We expand the repertoire of human islet regulatory elements by mapping stimulus-responsive enhancers linked to changes in the β-cell transcriptome, proteome and 3D chromatin structure. Our data indicates that the β cell response to cytokines is mediated by the induction of novel regulatory regions as well as the activation of primed regulatory elements pre-bound by islet-specific transcription factors. We found that T1D-associated loci are enriched of the newly mapped cis-regulatory regions and identify T1D-associated variants disrupting cytokine-responsive enhancer activity in human β cells. Our study illustrates how β cells respond to a pro-inflammatory environment and implicate a role for stimulus-response islet enhancers in T1D.

2019-09-20 | GSE136865 | GEO

The impact of pro-inflammatory cytokines on the β-cell regulatory landscape provides insights into the genetics of type 1 diabtes [H3K27ac ChIP-seq]

Project description:Early stages of type 1 diabetes (T1D) are characterized by local autoimmune inflammation and progressive loss of insulin-producing pancreatic β cells. We show here that exposure to pro-inflammatory cytokines unmasks a striking plasticity of the β-cell regulatory landscape. We expand the repertoire of human islet regulatory elements by mapping stimulus-responsive enhancers linked to changes in the β-cell transcriptome, proteome and 3D chromatin structure. Our data indicates that the β cell response to cytokines is mediated by the induction of novel regulatory regions as well as the activation of primed regulatory elements pre-bound by islet-specific transcription factors. We found that T1D-associated loci are enriched of the newly mapped cis-regulatory regions and identify T1D-associated variants disrupting cytokine-responsive enhancer activity in human β cells. Our study illustrates how β cells respond to a pro-inflammatory environment and implicate a role for stimulus-response islet enhancers in T1D.

2019-09-20 | GSE133135 | GEO

The impact of pro-inflammatory cytokines on the β-cell regulatory landscape provides insights into the genetics of type 1 diabtes [ATAC-seq]

Project description:Early stages of type 1 diabetes (T1D) are characterized by local autoimmune inflammation and progressive loss of insulin-producing pancreatic β cells. We show here that exposure to pro-inflammatory cytokines unmasks a striking plasticity of the β-cell regulatory landscape. We expand the repertoire of human islet regulatory elements by mapping stimulus-responsive enhancers linked to changes in the β-cell transcriptome, proteome and 3D chromatin structure. Our data indicates that the β cell response to cytokines is mediated by the induction of novel regulatory regions as well as the activation of primed regulatory elements pre-bound by islet-specific transcription factors. We found that T1D-associated loci are enriched of the newly mapped cis-regulatory regions and identify T1D-associated variants disrupting cytokine-responsive enhancer activity in human β cells. Our study illustrates how β cells respond to a pro-inflammatory environment and implicate a role for stimulus-response islet enhancers in T1D.

2019-09-20 | GSE123404 | GEO

The effect of DFMO on the gene expression in pro-inflammatory cytokine-treated human islets

Project description:Inhibition of polyamine biosynthesis using α-difluoromethylornithine (DFMO), an inhibitor of ornithine decarboxylase (ODC), reduces β-cell stress and type 1 diabetes (T1D) incidence in preclinical models. However, underlying cellular and molecular mechanisms and the tolerability and effectiveness of polyamine depletion by DFMO in humans with T1D remain unknown. Transcriptomics and proteomics of cytokine-stressed human islets treated with DFMO reveal alterations in mRNA translation, nascent protein transport, and secretion. Collectively, our data suggest that inhibition of polyamine biosynthesis may preserve β-cell function in T1D via islet cell-autonomous responses to stress.

2023-03-12 | GSE226888 | GEO

PTPN2 regulates metabolic flux to affect beta cell susceptibility to inflammatory stress

Project description:Protein tyrosine phosphatase N2 (Ptpn2) is a type 1 diabetes (T1D) candidate gene identified from human genome-wide association studies. PTPN2 is highly expressed in human and murine islets and becomes elevated upon inflammation, suggesting that PTPN2 may be important for beta cell survival in the context of T1D. To test whether PTPN2 contributed to beta cell dysfunction in an inflammatory environment, we generated a beta cell-specific deletion of Ptpn2 in mice (Ptpn2 βKO). While unstressed animals exhibit normal metabolic profiles, streptozotocin (STZ) Ptpn2 βKO mice display marked increase in hyperglycemia and death due to exacerbated beta cell loss. Furthermore, cytokine treated Ptpn2 KO islets resulted in mitochondrial defects and reduced glucose-induced metabolic flux, suggesting beta cells lacking Ptpn2 are more susceptible to inflammatory stress associated with T1D due to compromised metabolic fitness.

2023-12-01 | GSE215852 | GEO

Epigenetic modulation of β-cells by interferon-α via PNPT11-miR-26a-TET2 triggers autoimmune diabetes [RNA-seq]

Project description:Type 1 diabetes (T1D) is caused by autoimmune destruction of pancreatic β cells. Mounting evidence supports a central role for β-cell alterations in triggering the activation of self-reactive T-cells in T1D. However, the early deleterious events that occur in β cells, underpinning islet autoimmunity are not known. We hypothesized that epigenetic modifications induced in β cells by inflammatory mediators play a key role in initiating the autoimmune response. We analyzed DNA methylation (DNAm) patterns and gene expression in human islets exposed to IFNα, a cytokine associated with T1D development. We found that IFNα triggers DNA demethylation and increases expression of genes controlling inflammatory and immune pathways. We then demonstrated that DNA demethylation was caused by up-regulation of the exoribonuclease, PNPase Old-35 (PNPT1), which caused degradation of miR-26a. This in turn promoted the up-regulation of ten-eleven translocation TET2 enzyme and increased 5-hydoxymethylcytosine levels in human islets and pancreatic β-cells. Moreover, we showed that specific IFNα expression in the β cells of IFNα-INS1CreERT2 transgenic mice, led to development of T1D that was preceded by increased islet DNA hydroxymethylation through a PNPT1/TET2-dependent mechanism. Our results suggest a new mechanism through which IFNα regulates DNAm in β cells, leading to changes in expression of genes in inflammatory and immune pathways that can initiate islet autoimmunity in T1D.

2019-03-15 | GSE124810 | GEO

Epigenetic modulation of β-cells by interferon-α via PNPT11-miR-26a-TET2 triggers autoimmune diabetes [methylation array]

2019-03-15 | GSE124809 | GEO

Proteome and (ox)PTP profile analysis of diabetic NOD mouse under single (anti-CD3) or combined (anti-CD3 + IL1RA) treatment

Project description:Type 1 diabetes (T1D) results from autoimmune destruction of β cells in the pancreas. Protein tyrosine phosphatases (PTPs) are candidate genes for T1D and play a key role in autoimmune disease development and β-cell function. Here, we assessed the global protein and individual PTP profile in the pancreas of diabetic NOD mice treated with anti-CD3 mAb and IL-1RA combination therapy. The treatment reversed hyperglycemia compared to the anti-CD3 alone control group. We observed enhanced expression of PTPN2, a T1D candidate gene, and endoplasmic reticulum (ER) chaperones in the islets from cured mice.

2022-11-10 | PXD025394 | Pride

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