Browse
Submit Data
Databases
API
Help

Dataset Information

18 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell RNA sequencing of mouse islets exposed to proinflammatory cytokines.

ABSTRACT: Exposure to proinflammatory cytokines is believed to contribute to pancreatic β-cell damage during diabetes development. Although some cytokine-mediated changes in islet gene expression are known, the heterogeneity of the response is not well-understood. After 6-h treatment with IL-1β and IFN-γ alone or together, mouse islets were subjected to single-cell RNA sequencing. Treatment with both cytokines together led to expression of inducible nitric oxide synthase mRNA (Nos2) and antiviral and immune-associated genes in a subset of β-cells. Interestingly, IL-1β alone activated antiviral genes. Subsets of δ- and α-cells expressed Nos2 and exhibited similar gene expression changes as β-cells, including increased expression of antiviral genes and repression of identity genes. Finally, cytokine responsiveness was inversely correlated with expression of genes encoding heat shock proteins. Our findings show that all islet endocrine cell types respond to cytokines, IL-1β induces the expression of protective genes, and cellular stress gene expression is associated with inhibition of cytokine signaling.

SUBMITTER: Stancill JS

PROVIDER: S-EPMC8091599 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Single-cell RNA-sequencing of mouse islets exposed to proinflammatory cytokines

Project description:Exposure to proinflammatory cytokines is believed to contribute to pancreatic β-cells during diabetes development. While some cytokine-mediated changes in islet gene expression are known, the heterogeneity of the response is not well-understood. Following 6 hour treatment with interleukin-1 beta (IL-1β) and interferon-gamma (IFN-γ) alone or together, mouse islets were subjected to single-cell RNA-sequencing (scRNA-seq). Inducible nitric oxide synthase (iNOS) mRNA (Nos2), antiviral genes, and immune-associated genes were induced in a subset of β-cells in response to both cytokines, while IL-1β alone activated only antiviral genes. Subsets of α- and δ-cells expressed Nos2 and exhibited similar gene expression changes as β-cells, including induction of antiviral genes and repression of identity genes. Finally, cytokine-responsiveness was inversely correlated with expression of genes encoding heat shock proteins. Our findings show that all endocrine cell types respond to cytokines, IL-1β induces the expression of protective genes in β-cells, and cellular stress gene expression is associated with an inhibition in cytokine signaling.

2021-04-15 | GSE156175 | GEO

Single-cell RNA-sequencing of mouse islets exposed to proinflammatory cytokines [18hrs]

Project description:Exposure to proinflammatory cytokines is believed to contribute to pancreatic β-cells during diabetes development. While some cytokine-mediated changes in islet gene expression are known, the heterogeneity of the response is not well-understood. Following 18 hour treatment with interleukin-1 beta (IL-1β) and interferon-gamma (IFN-γ) alone or together, mouse islets were subjected to single-cell RNA-sequencing (scRNA-seq). Inducible nitric oxide synthase (iNOS) mRNA (Nos2), antiviral genes, and immune-associated genes were induced in a subset of β-cells in response to both cytokines, while IL-1β alone activated only antiviral genes. Subsets of α- and δ-cells expressed Nos2 and exhibited similar gene expression changes as β-cells, including induction of antiviral genes and repression of identity genes. Finally, cytokine-responsiveness was inversely correlated with expression of genes encoding heat shock proteins. Our findings show that all endocrine cell types respond to cytokines, IL-1β induces the expression of protective genes in β-cells, and cellular stress gene expression is associated with an inhibition in cytokine signaling.

2021-12-20 | GSE183010 | GEO

Single-cell RNA-sequencing of mouse islets exposed to proinflammatory cytokines

Project description:Single-cell RNA-sequencing of mouse islets exposed to proinflammatory cytokines

| PRJNA656998 | ENA

Single-cell RNA-sequencing of mouse islets exposed to proinflammatory cytokines [18hrs]

Project description:Single-cell RNA-sequencing of mouse islets exposed to proinflammatory cytokines [18hrs]

| PRJNA758807 | ENA

Preparing Highly Viable Single-Cell Suspensions from Mouse Pancreatic Islets for Single-Cell RNA Sequencing.

Project description:Pancreatic islets consist of several cell types, including alpha, beta, delta, epsilon, and PP cells. Due to cellular heterogeneity, it is challenging to interpret whole-islet transcriptome data. Single-cell transcriptomics offers a powerful method for investigating gene expression at the single-cell level and identifying cellular heterogeneity and subpopulations. Here, we describe a protocol for mouse pancreatic islet isolation, culturing, and dissociation into a single-cell suspension. This protocol yields highly viable cells for successful library preparation and single-cell RNA sequencing. For complete details on the use and execution of this protocol, please refer to Lee et al. (2020).

| S-EPMC7757316 | biostudies-literature

Lessons from single-cell RNA sequencing of human islets.

Project description:Islet dysfunction is central in type 2 diabetes and full-blown type 2 diabetes develops first when the beta cells lose their ability to secrete adequate amounts of insulin in response to raised plasma glucose. Several mechanisms behind beta cell dysfunction have been put forward but many important questions still remain. Furthermore, our understanding of the contribution of each islet cell type in type 2 diabetes pathophysiology has been limited by technical boundaries. Closing this knowledge gap will lead to a leap forward in our understanding of the islet as an organ and potentially lead to improved treatments. The development of single-cell RNA sequencing (scRNAseq) has led to a breakthrough for characterising the transcriptome of each islet cell type and several important observations on the regulation of cell-type-specific gene expression have been made. When it comes to identifying type 2 diabetes disease mechanisms, the outcome is still limited. Several studies have identified differentially expressed genes, although there is very limited consensus between the studies. As with all new techniques, scRNAseq has limitations; in addition to being extremely expensive, genes expressed at low levels may not be detected, noise may not be appropriately filtered and selection biases for certain cell types are at hand. Furthermore, recent advances suggest that commonly used computational tools may be suboptimal for analysis of scRNAseq data in small-scale studies. Fortunately, development of new computational tools holds promise for harnessing the full potential of scRNAseq data. Here we summarise how scRNAseq has contributed to increasing the understanding of various aspects of islet biology as well as type 2 diabetes disease mechanisms. We also focus on challenges that remain and propose steps to promote the utilisation of the full potential of scRNAseq in this area.

| S-EPMC9283180 | biostudies-literature

Single-cell RNA sequencing of adult mouse testes.

Project description:Spermatogenesis is an efficient and complex system of continuous cell differentiation. Previous studies investigating the transcriptomes of different cell populations in the testis relied either on sorting cells, cell depletion, or juvenile animals where not all stages of spermatogenesis have been completed. We present single-cell RNA sequencing (scRNA-Seq) data of 2,500 cells from the testes of two 8-week-old C57Bl/6J mice. Our dataset includes all spermatogenic stages from preleptotene to condensing spermatids as well as individual spermatogonia, Sertoli and Leydig cells. The data capture the full continuity of the meiotic and postmeiotic stages of spermatogenesis, and is thus ideally suited for marker discovery, network inference and similar analyses for which temporal ordering of differentiation processes can be exploited. Furthermore, it can serve as a reference for future studies involving single-cell RNA-Seq in mice where spermatogenesis is perturbed.

| S-EPMC6132189 | biostudies-literature

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.

Project description:Many subtypes of cortical interneurons (CINs) are found in adult mouse cortices, but the mechanism generating their diversity remains elusive. We performed single-cell RNA sequencing on the mouse embryonic medial ganglionic eminence (MGE), the major birthplace for CINs, and on MGE-like cells differentiated from embryonic stem cells. Two distinct cell types were identified as proliferating neural progenitors and immature neurons, both of which comprised sub-populations. Although lineage development of MGE progenitors was reconstructed and immature neurons were characterized as GABAergic, cells that might correspond to precursors of different CINs were not identified. A few non-neuronal cell types were detected, including microglia. In vitro MGE-like cells resembled bona fide MGE cells but expressed lower levels of Foxg1 and Epha4. Together, our data provide detailed understanding of the embryonic MGE developmental program and suggest how CINs are specified.

| S-EPMC5374502 | biostudies-literature

Single-cell RNA sequencing of murine islets shows high cellular complexity at all stages of autoimmune diabetes.

Project description:Tissue-specific autoimmune diseases are driven by activation of diverse immune cells in the target organs. However, the molecular signatures of immune cell populations over time in an autoimmune process remain poorly defined. Using single-cell RNA sequencing, we performed an unbiased examination of diverse islet-infiltrating cells during autoimmune diabetes in the nonobese diabetic mouse. The data revealed a landscape of transcriptional heterogeneity across the lymphoid and myeloid compartments. Memory CD4 and cytotoxic CD8 T cells appeared early in islets, accompanied by regulatory cells with distinct phenotypes. Surprisingly, we observed a dramatic remodeling in the islet microenvironment, in which the resident macrophages underwent a stepwise activation program. This process resulted in polarization of the macrophage subpopulations into a terminal proinflammatory state. This study provides a single-cell atlas defining the staging of autoimmune diabetes and reveals that diabetic autoimmunity is driven by transcriptionally distinct cell populations specialized in divergent biological functions.

| S-EPMC7971127 | biostudies-literature

Single-Nucleus RNA-Sequencing Profiling of Mouse Lung. Reduced Dissociation Bias and Improved Rare Cell-Type Detection Compared with Single-Cell RNA Sequencing.

Project description:Single-cell RNA sequencing (scRNASeq) has advanced our understanding of lung biology, but its utility is limited by the need for fresh samples, loss of cell types by death or inadequate dissociation, and transcriptional stress responses induced during tissue digestion. Single-nucleus RNA sequencing (snRNASeq) has addressed these deficiencies in other tissues, but no protocol exists for lung tissue. We present a snRNASeq protocol and compare its results with those of scRNASeq. Two nuclear suspensions were prepared in lysis buffer on ice while one cell suspension was generated using enzymatic and mechanical dissociation. Cells and nuclei were processed using the 10× Genomics platform, and sequencing data were analyzed by Seurat. A total of 16,110 single-nucleus and 11,934 single-cell transcriptomes were generated. Gene detection rates were equivalent in snRNASeq and scRNASeq (∼1,700 genes and 3,000 unique molecular identifiers per cell) when mapping intronic and exonic reads. In the combined data, 89% of epithelial cells were identified by snRNASeq versus 22.2% of immune cells. snRNASeq transcriptomes are enriched for transcription factors and signaling proteins, with reduction in mitochondrial and stress-response genes. Both techniques improved mesenchymal cell detection over previous studies. Homeostatic signaling relationships among alveolar cell types were defined by receptor-ligand mapping using snRNASeq data, revealing interplay among epithelial, mesenchymal, and capillary endothelial cells. snRNASeq can be applied to archival murine lung samples, improves dissociation bias, eliminates artifactual gene expression, and provides similar gene detection compared with scRNASeq.

| S-EPMC7790136 | biostudies-literature

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