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Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours
Disruption of pancreatic islet function and glucose homeostasis can lead to the development of sustained hyperglycemia, beta cell glucotoxicity, and ultimately type 2 diabetes (T2D). In this study, we sought to explore the effects of hyperglycemia on human pancreatic islet (HPI) gene expression by e...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274787/ https://www.ncbi.nlm.nih.gov/pubmed/37333221 http://dx.doi.org/10.1101/2023.06.06.543931 |
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author | Grenko, Caleb M. Bonnycastle, Lori L. Taylor, Henry J. Yan, Tingfen Swift, Amy J. Robertson, Catherine C. Narisu, Narisu Erdos, Michael R. Collins, Francis S. Taylor, D. Leland |
author_facet | Grenko, Caleb M. Bonnycastle, Lori L. Taylor, Henry J. Yan, Tingfen Swift, Amy J. Robertson, Catherine C. Narisu, Narisu Erdos, Michael R. Collins, Francis S. Taylor, D. Leland |
author_sort | Grenko, Caleb M. |
collection | PubMed |
description | Disruption of pancreatic islet function and glucose homeostasis can lead to the development of sustained hyperglycemia, beta cell glucotoxicity, and ultimately type 2 diabetes (T2D). In this study, we sought to explore the effects of hyperglycemia on human pancreatic islet (HPI) gene expression by exposing HPIs from two donors to low (2.8mM) and high (15.0mM) glucose concentrations over 24 hours, assaying the transcriptome at seven time points using single-cell RNA sequencing (scRNA-seq). We modeled time as both a discrete and continuous variable to determine momentary and longitudinal changes in transcription associated with islet time in culture or glucose exposure. Across all cell types, we identified 1,528 genes associated with time, 1,185 genes associated with glucose exposure, and 845 genes associated with interaction effects between time and glucose. We clustered differentially expressed genes across cell types and found 347 modules of genes with similar expression patterns across time and glucose conditions, including two beta cell modules enriched in genes associated with T2D. Finally, by integrating genomic features from this study and genetic summary statistics for T2D and related traits, we nominate 363 candidate effector genes that may underlie genetic associations for T2D and related traits. |
format | Online Article Text |
id | pubmed-10274787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102747872023-06-17 Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours Grenko, Caleb M. Bonnycastle, Lori L. Taylor, Henry J. Yan, Tingfen Swift, Amy J. Robertson, Catherine C. Narisu, Narisu Erdos, Michael R. Collins, Francis S. Taylor, D. Leland bioRxiv Article Disruption of pancreatic islet function and glucose homeostasis can lead to the development of sustained hyperglycemia, beta cell glucotoxicity, and ultimately type 2 diabetes (T2D). In this study, we sought to explore the effects of hyperglycemia on human pancreatic islet (HPI) gene expression by exposing HPIs from two donors to low (2.8mM) and high (15.0mM) glucose concentrations over 24 hours, assaying the transcriptome at seven time points using single-cell RNA sequencing (scRNA-seq). We modeled time as both a discrete and continuous variable to determine momentary and longitudinal changes in transcription associated with islet time in culture or glucose exposure. Across all cell types, we identified 1,528 genes associated with time, 1,185 genes associated with glucose exposure, and 845 genes associated with interaction effects between time and glucose. We clustered differentially expressed genes across cell types and found 347 modules of genes with similar expression patterns across time and glucose conditions, including two beta cell modules enriched in genes associated with T2D. Finally, by integrating genomic features from this study and genetic summary statistics for T2D and related traits, we nominate 363 candidate effector genes that may underlie genetic associations for T2D and related traits. Cold Spring Harbor Laboratory 2023-07-17 /pmc/articles/PMC10274787/ /pubmed/37333221 http://dx.doi.org/10.1101/2023.06.06.543931 Text en https://creativecommons.org/publicdomain/zero/1.0/This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license (https://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Article Grenko, Caleb M. Bonnycastle, Lori L. Taylor, Henry J. Yan, Tingfen Swift, Amy J. Robertson, Catherine C. Narisu, Narisu Erdos, Michael R. Collins, Francis S. Taylor, D. Leland Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
title | Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
title_full | Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
title_fullStr | Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
title_full_unstemmed | Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
title_short | Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
title_sort | single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274787/ https://www.ncbi.nlm.nih.gov/pubmed/37333221 http://dx.doi.org/10.1101/2023.06.06.543931 |
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