LncRNA and mRNA expression profile analysis defines the heterogeneity of pancreas islets
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ABSTRACT:
PROVIDER: PRJNA1138421 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:While the islet heterogeneity in size, number, architecture, cellular composition, and capillary density has been well studied in rodents and human, less is known about the islet heterogeneity in lncRNA and mRNA profile. To probe the heterogeneity of these molecular differences, microarray was used to examine lncRNA and mRNA expression profiles in islets from the head and tail regions of rat pancreas.
2025-07-31 | GSE272721 | 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. 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:Isolated ducts and isolated islets from normal pancreas; normal and adenocarcinomas as labelled. The isolated ducts and islets, and three adenocarcinomas (shcx206, shcx200 and shcx 193) were amplified because of low starting amount of materials. The rest of the samples, which have previously been put on arrays unamplified, were amplified for the purpose of clustering with the isolated ducts and islets.
2007-05-11 | E-SMDB-3997 | 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.
2014-12-03 | GSE63811 | GEO
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:RNAseq analysis of islets from murine Abca12 KO pancreas
| PRJNA589540 | ENA
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
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
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
to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310110013 | BioModels
Project description:Gene expression differences between wild-type, pancreas-specific Hnf4alpha knockout (Hnf4a-pKO), heterozygous Hnf1alpha (Tcf1) (Hnf1aHET), and double mutant (Hnf4a-pKO;Hnf1aHET) mouse pancreatic islets were assesed using amplified RNA samples from islets of matched quality and endocrine purity, obtained from 60-75 day-old control and genetically modified male mice after 48 hours in culture. RNA was amplified using the Affymetrix GeneChIP two-cycle protocol and hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 arrays [Mouse430_2].
2010-03-01 | E-MEXP-1729 | biostudies-arrayexpress
Project description:RNAseq analysis of 8week old islets from murine Abca12 KO pancreas
| PRJNA589543 | ENA
Project description:RNAseq analysis of 5week old islets from murine Abca12 KO pancreas
| PRJNA589544 | ENA