Epigenetic changes in Langerhans islets preceding the onset of diabetes
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PROVIDER: PRJNA601954 | ENA |
REPOSITORIES: ENA
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Project description:Diabetes-resistant and diabetes-prone female New Zealand Obese mice were classified based on liver fat content and early blood glucose concentrations at 10 weeks of age before the onset of T2D. By using transcriptome and DNA methylome analysis of Langerhans islets, we identified early epigenetic alteration in mice and humans which could serve as putative epigenetic biomarkers
2020-10-28 | GSE143875 | GEO
Project description:The aim of this study was to investigate which intrinsic differences are present in the islets of Langerhans from diabetes-prone non-obese diabetic (NOD) mice before the onset of insulitis.
2016-11-30 | E-MTAB-5264 | biostudies-arrayexpress
Project description: Not available
| S-EPMC7576562 | biostudies-literature
Project description:NOD mice deficient in the transcription factor Batf3 never develop diabetes. The goal of this study was to determine if NOD.Batf3-/- mice islets had any inflammatory signature associated with type 1 diabetes. Islets of Langerhans were isolated from NOD, NOD.Batf3-/-, and NOD.Rag1-/- and then compared to determine inflammatory gene profiles. At 6 and 8 weeks of age, NOD.Batf3-/- islets had an absence of inflammatory gene expression and were almost identical to uninflamed NOD.Rag1-/- islets. This work shows that absence of the Batf3 transcription factor is sufficient to prevent all the inflammatory sequelae of autoimmune diabetes. RNA was isolated from the pancreatic islets of Langerhans of 27 experimental mice. Mice were aged either 6 or 8 weeks. Three genotypes were tested: NOD, NOD.Rag1-/-, and NOD.Batf3-/-. There were 3-6 biological replicates per condition. All mice were female. All data was normalized using RMA in Arraystar.
2014-09-29 | E-GEOD-61847 | biostudies-arrayexpress
Project description:NOD mice deficient in the transcription factor Batf3 never develop diabetes. The goal of this study was to determine if NOD.Batf3-/- mice islets had any inflammatory signature associated with type 1 diabetes. Islets of Langerhans were isolated from NOD, NOD.Batf3-/-, and NOD.Rag1-/- and then compared to determine inflammatory gene profiles. At 6 and 8 weeks of age, NOD.Batf3-/- islets had an absence of inflammatory gene expression and were almost identical to uninflamed NOD.Rag1-/- islets. This work shows that absence of the Batf3 transcription factor is sufficient to prevent all the inflammatory sequelae of autoimmune diabetes.
2014-09-29 | GSE61847 | GEO
Project description:Diabetes results from insufficient insulin secretion as a result of dysfunction to β-cells within the islet of Langerhans. Elevated glucose causes β-cell membrane depolarization and action potential generation, voltage gated Ca2+ channel activation and oscillations in free-Ca2+ activity ([Ca2+]), triggering insulin release. Nuclear Factor of Activated T-cell (NFAT) is a transcription factor that is regulated by increases in [Ca2+] and calceineurin (CaN) activation. NFAT regulation links cell activity with gene transcription in many systems, and within the β-cell regulates proliferation and insulin granule biogenesis. However the link between the regulation of β-cell electrical activity and oscillatory [Ca2+], with NFAT activation and downstream transcription is poorly understood. In this study we test whether dynamic changes to β-cell electrical activity and [Ca2+] regulates NFAT activation and downstream transcription. In cell lines, mouse islets and human islets, including those with type2 diabetes, we applied both agonists/antagonists of ion channels together with optogenetics to modulate β-cell electrical activity. Both glucose-induced membrane depolarization and optogenetic-stimulation triggered NFAT activation, and increased transcription of NFAT targets and intermediate early genes (IEGs). Importantly only conditions in which slow sustained [Ca2+] oscillations were generated led to NFAT activation and downstream transcription. In contrast in human islets from donors with type2 diabetes NFAT activation by glucose was diminished, but rescued upon pharmacological stimulation of electrical activity. Thus, we gain insight into the specific patterns of electrical activity that regulate NFAT activation and gene transcription and how this is disrupted in diabetes.
2020-06-23 | GSE152970 | GEO
Project description:Type 2 diabetes is a worldwide disease reaching epidemic dimensions. The rapid progression of the disease urgently calls for both a broader and deeper understanding of its pathophysiology. In line with this statement, the Human Diabetes Proteome Project (HDPP) was officially launched at the 11th HUPO meeting in Boston, 2012. A special session was dedicated to this new initiative, gathering experts in the main topics related to diabetes and its associated complications. Key issues were debated with a focus on how deranged circulating glucose and free fatty acids induce dysfunction. It has been decided that HDPP will therefore focus on studying the early stages of diabetes that lead to abnormal glucose and lipid levels. The initiative will initially focused on islets of Langerhans, insulin-producing cell lines, and blood human samples from diabetes-related cohorts. In subsequent stages HDPP will investigate target tissues in which glucose and lipids could promote protein dysfunctions. Omics-rooted systems approaches enhanced by bioinformatics will be deployed to unravel effects of lipids and glucose triggering diabetes initiation and progression. A first milestone has been defined for the 12th HUPO meeting in Yokohama, 2013: the 1000 diabetes-associated protein (the 1000-HDPP) database, i.e. a freely available internet resource (www.HDPP.info) of more than 1000 proteins with links to their corresponding proteotypic peptides, affinity reagents and protein-specific biological/biomedical information. Human islets digested and seperated by off-gel electrophoresis. Analysis by LTQ-Orbitrap velos mass spectrometer (fragmentation by CID,gaz phase fractionnation with four m/z windows: 400-520, 515-690, 685-979, 974-2000)
2013-07-23 | PXD000050 | Pride
Project description:Type 1 diabetes is an autoimmune disease caused by the destruction of the insulin producing beta cells. We characterized the gene expression profile of pancreatic tissue from four type 1 diabetes patients (Cases 1-4), who died at different stages of the disease (onset and longstanding) by microarray analysis. All samples from patients and controls were obtained after death, at the time of organ donation. Pancreatic blocks from the four diabetic patients and three organ donors (Controls 1-3) were obtained and snap frozen. At the same time, islets from Cases 1 and 4 were isolated from a piece of the pancreas tail by enzymatic digestion (using automated method and handpicking) and snap frozen. Islets from three different organ donors (Controls 4-6) were obtained similarly to those of the diabetic patients. Both pancreatic blocks and islets were stored in liquid nitrogen until the mRNA extraction. For pancreas gene expression profiles, we compared data from three blocks of each of the four type 1 diabetic pancreas with pancreases data from the Controls 1-3. For islets expression profile, we compared data from Cases 1 and 4 islets with islets data from the Controls 4-6. <br><br>
2009-12-01 | E-MEXP-1140 | biostudies-arrayexpress
Project description:Type 1 diabetes (T1D) is an autoimmune disease triggered by T cell reactivity to protein antigens produced by the β-cells. Here we present a chronological compendium of transcriptional profiles from islets of Langerhans isolated from non-obese diabetic (NOD) mice ranging from 2 wks up to diabetes and compared to controls. Parallel analysis was made of cellular components of the islets. Myeloid cells populated the islets early during development in all mouse strains. This was followed by a type I interferon signature detectable at 4-6 wks of age only in diabetes susceptible mice. Concurrently, CD4 T cells were found within islets, many in contact with intra-islet antigen presenting cells. Early cellular signs of islet reactivity were detected by six wks. By 8 wks, NOD islets contained all major leukocytes populations and an inflammatory gene signature. This work establishes the natural transcriptional signature of T1D and provides a resource for future research. 57 RNA samples isolated from the pancreatic islets of langerhans of experimental mice: 2-18 wk old non-obese diabetic (NOD) and newly diabetic NOD were compared to controls: NOD.RAG-/-, B6.g7 and C57BL/6. There were 3 or 6 biological replicates per condition. All mice were female. All data was normalized using RMA in Arraystar. Data table includes normalized probe intensity for every probe.
2013-01-28 | E-GEOD-41203 | biostudies-arrayexpress
Project description:Thiele2013 - Pancreas islets of Langerhans
The model of pancreas islets of Langerhans metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110013
.
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To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
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for more information.
2005-01-01 | MODEL1310110013 | BioModels