Pancreas and islet gene expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE278 | GEO | 2003/02/05
SECONDARY ACCESSION(S): PRJNA84711
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression of pancreatic exocrine cells, pancreatic islets and hand-selected pancreatic islets examined. Keywords: other
2003-02-04 | E-GEOD-278 | biostudies-arrayexpress
Project description:Early postnatal overnutrition causes persistent dysregulation of endocrine pancreas function. We used genome-scale DNA methylation profiling in the suckling-period small litter (SL) mouse model to test whether this occurs via persistent epigenetic changes in pancreatic islets. Although SL islets showed DNA methylation changes directly after weaning and in adulthood, few of these were present at both ages, contrary to our hypothesis. Most interestingly, we discovered that genomic regions that are hypermethylated in exocrine relative to endocrine pancreas tend to gain methylation in islets during aging. Focusing on a subset of genes relevant to β cell function, we showed that these methylation differences are strongly correlated with expression. Together, our results provide the novel insight that DNA methylation changes that occur as islets age indicate an overall epigenetic drift toward the exocrine pancreas epigenome. These concerted shifts in the islet methylome could contribute to the age-associated decline in endocrine pancreas function. Pancreatic islets were isolated from P21/P180 SL or C mice. To ensure purity of islets, 3 rounds of manual picking were performed in each samples. Whole pancreas samples, ~98% of which is exocrine pancreas, were used as exocrine pancreas. There are 5 mice per group.
2014-12-03 | E-GEOD-63811 | biostudies-arrayexpress
Project description:The purpose of this study was to identify mRNA transcripts encoding tissue restricted cell surface proteins on human islet tissue that, in turn, might serve as markers for determination of healthy, transplanted and/or diseased islet cell mass. Using oligonucleotide microarrays and clinical grade human islets, we obtained the gene expression profiles of cultured normal islet tissue and compared them to profiles of islets treated with interferon alpha 2 beta, islet-depleted exocrine pancreas, pooled whole pancreas, pooled liver and pooled kidney tissue. Data set filtering and comparisons of gene expression patterns revealed a small set of genes corresponding to transmembrane or membrane associated proteins with limited tissue distributions (present in Islets of Langerhans and, often, central or peripheral nervous system tissues, but absent from exocrine pancreas, liver, kidney and other tissues) with possible utility as novel islet markers. Under the influence of IFN alpha, some of these transcripts show differential expression as confirmed by real time PCR. In addition, we found significant differential expression of two sets of transcripts expressed in islets but with broad tissue distributions, non classical MHC class I b (HLA-G and F) and MHC Class II locus (e.g. HLA-DR alpha and HLA-DQ alpha and beta).
2007-04-06 | E-CBIL-27 | biostudies-arrayexpress
Project description:BDC2.5/NOD mice were treated with cyclophosphamide to induce type 1 diabetes. Their pancreatic islets were analyzed before treatment (Day 0) and as treatment progressed (Days 1 through 3) Keywords = type I diabetes Keywords = cyclophosphamide Keywords = BDC2.5 Keywords = NOD Keywords = pancreas Keywords = islets Keywords: time-course
2005-02-09 | GSE2254 | GEO
Project description:We used single-cell RNA-sequencing to generate transcriptional profiles of endocrine and exocrine cell types of the human pancreas. Pancreatic tissue and islets were obtained from six healthy and four T2D cadaveric donors. Islets were cultured and dissociated into single-cell suspension. Viable individual cells were distributed via fluorescence-activated cell sorted (FACS) into 384-well plates containing lysis buffer. Single-cell cDNA libraries were generated using the Smart-seq2 protocol. Gene expression was quantified as reads per kilobase transcript and per million mapped reads (RPKM) using rpkmforgenes. Bioinformatics analysis was used to classify cells into cell types without knowledge of cell types or prior purification of cell populations. We revealed subpopulations in endocrine and exocrine cell types, identified genes with interesting correlations to body mass index (BMI) in specific cell types and found transcriptional alterations in T2D. Complementary whole-islet RNA-seq data have also been deposited at ArrayExpress under accession number E-MTAB-5060 (http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5060).
2016-09-22 | E-MTAB-5061 | biostudies-arrayexpress
Project description:We examined how Cxcl16 deficiency may alter autoimmune responses targeting pancreatic islets, with a focus on changes in islet-infiltrating CD4 and CD8 T cells.
2024-05-18 | GSE262101 | GEO
Project description:Early postnatal overnutrition causes persistent dysregulation of endocrine pancreas function. We used genome-scale DNA methylation profiling in the suckling-period small litter (SL) mouse model to test whether this occurs via persistent epigenetic changes in pancreatic islets. Although SL islets showed DNA methylation changes directly after weaning and in adulthood, few of these were present at both ages, contrary to our hypothesis. Most interestingly, we discovered that genomic regions that are hypermethylated in exocrine relative to endocrine pancreas tend to gain methylation in islets during aging. Focusing on a subset of genes relevant to β cell function, we showed that these methylation differences are strongly correlated with expression. Together, our results provide the novel insight that DNA methylation changes that occur as islets age indicate an overall epigenetic drift toward the exocrine pancreas epigenome. These concerted shifts in the islet methylome could contribute to the age-associated decline in endocrine pancreas function.
2014-12-03 | GSE63811 | GEO
Project description:Expression profiling of cell cycle genes in human pancreatic islets with and without type 2 diabetes Islets from cadaver donors were provided by the Nordic Islet Transplantation Programme (www.nordicislets.org), Uppsala University. The microarrays were performed using GeneChipM-BM-. Human Gene 1.0 ST whole transcript according to Affymetrix standard protocol.
2013-03-15 | E-GEOD-44035 | biostudies-arrayexpress
Project description:Insulin-secreting β cells and glucagon-secreting α cells maintain physiological blood glucose levels, and their malfunction drives diabetes development. Using ChIP sequencing and RNA sequencing analysis, we determined the epigenetic and transcriptional landscape of human pancreatic α, β, and exocrine cells. We found that, compared with exocrine and β cells, differentiated α cells exhibited many more genes bivalently marked by the activating H3K4me3 and repressing H3K27me3 histone modifications. This was particularly true for β cell signature genes involved in transcriptional regulation. Remarkably, thousands of these genes were in a monovalent state in β cells, carrying only the activating or repressing mark. Our epigenomic findings suggested that α to β cell reprogramming could be promoted by manipulating the histone methylation signature of human pancreatic islets. Indeed, we show that treatment of cultured pancreatic islets with a histone methyltransferase inhibitor leads to colocalization of both glucagon and insulin and glucagon and insulin promoter factor 1 (PDX1) in human islets and colocalization of both glucagon and insulin in mouse islets. Thus, mammalian pancreatic islet cells display cell-type–specific epigenomic plasticity, suggesting that epigenomic manipulation could provide a path to cell reprogramming and novel cell replacement-based therapies for diabetes. Pancreatic islets were collected post-mortem from 6 human donors and subjected to FACS to separate populations of alpha, beta, and exocrine cells. Depending on the availability of resulting material, sorted islet cell populations were used for H3K4me3, H3K27me3 ChIP-seq, or RNA-seq analysis. All ChIP-seq samples have a corresponding input from the same sample.
2013-08-28 | E-GEOD-50386 | biostudies-arrayexpress
Project description:Expression profiling of cell cycle genes in human pancreatic islets with and without type 2 diabetes
2013-03-15 | GSE44035 | GEO