Gene expression profile at single cell level of three adult, non-diabetic, human islets
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE269204 | GEO | 2024/06/15
REPOSITORIES: GEO
Similar Datasets
Project description:We performed microarray analysis to evaluate differences in the transcriptome of type 2 diabetic human islets compared to non-diabetic islet samples. Human islets were isolated from the pancreas of organ donors by collagenase digestion followed by density gradient purification, then hand-picked and cultured 2 days in M199 culture medium.
2010-12-01 | E-GEOD-25724 | biostudies-arrayexpress
Project description:We performed microarray analysis to evaluate differences in the transcriptome of type 2 diabetic human islets compared to non-diabetic islet samples.
2010-12-01 | GSE25724 | GEO
Project description:Pancreatic islet (dys)function is central to glucose homeostasis and type 2 diabetes (patho)physiology. Human islets consist of multiple endocrine (alpha, beta, delta, gamma), endothelial, and resident/inflitrating immune cells whose coordinated functions modulate glucose mobilization or disposal. Single cell transcriptome profiling (scRNA-seq) studies have been applied to dissect human islet cellular heterogeneity, identify islet cell (sub)populations, and define their molecular repertoire. However, precise understanding of cell type-specific alterations in type 2 diabetic vs. non-diabetic individuals is lacking, due in part to the limited number of individuals or single cell transcriptomes per individual profiled for comparison. Here, we create a comprehensive single cell transcriptome atlas of 245,878 human islet cells from 48 individuals spanning non-diabetic (ND), pre-diabetic (PD), and type 2 diabetic (T2D) states and matched for sex, age, and ancestry and define marker gene sets that are robustly expressed across disease states for each of the 14 cell types identified. We observe significant decreases in the number of beta cells sampled from T2D vs. ND or PD donors. Two of eight putative beta cell subpopulations, with ‘high functioning’ and ‘senescent’ cell gene signatures, increase and decrease in T2D donor islets, respectively. Importantly, we identify 511 differentially expressed genes in beta cells from T2D vs. ND donors. This includes monogenic and type 2 diabetes effector genes, such as HNF1A, DGKB, ST6GAL1, and FXYD2, for which genetic and environmental effects on their expression is concordant. Human beta cell and islet knockdown of selected newly-identified down-regulated genes impairs beta cell viability or function. Together, this study provides new and robust, cell type-resolved insights on the cellular and molecular changes in healthy vs. diabetic human islets and represents a valuable resource to the islet biology and type 2 diabetes communities.
2023-03-30 | GSE221156 | GEO
Project description:Using 10x Genomics Chromium Single Cell 3’ RNAseq platform, we sequenced human stem cell derived pancreatic islet cells during different stages of development and maturation process. We optimized a protocol for pancreatic endocrine differentiation, particularly focusing on the final, extended maturation stage during which significant reorganization of the cytoarchitecture of islet-like aggregates took place correlating with a remarkable maturation of glucose-induced insulin secretion. The transcriptomic changes during the time-course were combined with detailed physiological studies including dynamic insulin secretion assays, respirometry measurements, electrophysiological profiling as well as imaging of calcium and cAMP signaling and exocytosis.
2021-12-22 | GSE167880 | GEO
Project description:A gene co-expression network analysis has been conducted to identify T2D-associated gene modules. Donors 1-48 were used for the initial analysis and donors 49-80 for the replication and were normalized separately in this study Islets from cadaver donors (57 non-diabetic and 20 diabetic) 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.
2012-10-23 | E-GEOD-41762 | biostudies-arrayexpress
Project description:We have studied the impact of T2D on open chromatin in human pancreatic islets. We used assay for transposase-accessible chromatin using sequencing (ATAC-seq) to profile open chromatin in islets from T2D and non-diabetic donors. We identified ATAC-seq peaks representing open chromatin regions in islets of non-diabetic and diabetic donors. The majority of ATAC-seq peaks mapped near transcription start sites. Additionally, peaks were enriched in enhancer regions and in regions where islet-specific TFs bind. Islet ATAC-seq peaks overlap with SNPs associated with T2D and with additional SNPs in LD with known T2D SNPs. There was enrichment of open chromatin regions near highly expressed genes in human islets.
2019-04-06 | GSE129383 | GEO
Project description:Monocytes isolated from skin wounds on non-diabetic and diabetic mice on day 6 post-injury, subjected to enzymatic digestion to obtain single cells and pooled from two mice per strain. Fresh cells with viability over 85% processed using the 10x Chromium platform . Libraries sequenced on HiSeq with paired-end reads. Fastq files were generated and iesdemultiplexed into single cells using Cell Ranger software
2020-11-24 | GSE154400 | GEO
Project description:To examine the heterogeneity and dynamic crosstalk of human liver cells, ~18,000 freshly isolated human liver cells from 6 donors were profiled using the 10x Genomics Chromium platform.
2021-09-29 | E-MTAB-10553 | biostudies-arrayexpress
Project description:Close to 50 genetic loci have been associated with type 2 diabetes (T2D), but they explain only 15% of the heritability. In an attempt to identify additional T2D genes, we analyzed global gene expression in human islets from 63 donors. Islets from cadaver donors (54 non-diabetic and 9 diabetic) 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.
2012-07-05 | E-GEOD-38642 | biostudies-arrayexpress
Project description:Human synovial Single cell RNA-seq was performed on three tissue samples from healthy donors. This experiment was done to explore the heterogeneity of cells in healthy human synovial joint and enabled the comparison of cellular states and composition to those of publicly available single cell RNA-seq datasets from psoriatic arthritis and rheumatoid arthritis patients. Human synovial cells were loaded immediately after tissue dissociation with up to 25,000 cells in a single well of a Chromium chip G (10x Genomics). 3’ gene expression libraries were generated using Chromium Next GEM Single Cell 3' Kit 3.1 with 3' Feature Barcode Kit and dual indexing (10x Genomics protocol CG000316 Rev C). Libraries were sequenced as paired end (PE) 150 bp by Illumina sequencing to 65-80% saturation. Reads were mapped to the GRCh38 human genome (GENCODE) using the 10x Genomics Cell Ranger pipeline (7.2.0).
2024-08-06 | E-MTAB-14339 | biostudies-arrayexpress