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The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines

Type 1 diabetes (T1D) is an autoimmune disease in which pancreatic beta cells are killed by infiltrating immune cells and by cytokines released by these cells. Signaling events occurring in the pancreatic beta cells are decisive for their survival or death in diabetes. We have used RNA sequencing (R...

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Autores principales: Eizirik, Décio L., Sammeth, Michael, Bouckenooghe, Thomas, Bottu, Guy, Sisino, Giorgia, Igoillo-Esteve, Mariana, Ortis, Fernanda, Santin, Izortze, Colli, Maikel L., Barthson, Jenny, Bouwens, Luc, Hughes, Linda, Gregory, Lorna, Lunter, Gerton, Marselli, Lorella, Marchetti, Piero, McCarthy, Mark I., Cnop, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297576/
https://www.ncbi.nlm.nih.gov/pubmed/22412385
http://dx.doi.org/10.1371/journal.pgen.1002552
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author Eizirik, Décio L.
Sammeth, Michael
Bouckenooghe, Thomas
Bottu, Guy
Sisino, Giorgia
Igoillo-Esteve, Mariana
Ortis, Fernanda
Santin, Izortze
Colli, Maikel L.
Barthson, Jenny
Bouwens, Luc
Hughes, Linda
Gregory, Lorna
Lunter, Gerton
Marselli, Lorella
Marchetti, Piero
McCarthy, Mark I.
Cnop, Miriam
author_facet Eizirik, Décio L.
Sammeth, Michael
Bouckenooghe, Thomas
Bottu, Guy
Sisino, Giorgia
Igoillo-Esteve, Mariana
Ortis, Fernanda
Santin, Izortze
Colli, Maikel L.
Barthson, Jenny
Bouwens, Luc
Hughes, Linda
Gregory, Lorna
Lunter, Gerton
Marselli, Lorella
Marchetti, Piero
McCarthy, Mark I.
Cnop, Miriam
author_sort Eizirik, Décio L.
collection PubMed
description Type 1 diabetes (T1D) is an autoimmune disease in which pancreatic beta cells are killed by infiltrating immune cells and by cytokines released by these cells. Signaling events occurring in the pancreatic beta cells are decisive for their survival or death in diabetes. We have used RNA sequencing (RNA–seq) to identify transcripts, including splice variants, expressed in human islets of Langerhans under control conditions or following exposure to the pro-inflammatory cytokines interleukin-1β (IL-1β) and interferon-γ (IFN-γ). Based on this unique dataset, we examined whether putative candidate genes for T1D, previously identified by GWAS, are expressed in human islets. A total of 29,776 transcripts were identified as expressed in human islets. Expression of around 20% of these transcripts was modified by pro-inflammatory cytokines, including apoptosis- and inflammation-related genes. Chemokines were among the transcripts most modified by cytokines, a finding confirmed at the protein level by ELISA. Interestingly, 35% of the genes expressed in human islets undergo alternative splicing as annotated in RefSeq, and cytokines caused substantial changes in spliced transcripts. Nova1, previously considered a brain-specific regulator of mRNA splicing, is expressed in islets and its knockdown modified splicing. 25/41 of the candidate genes for T1D are expressed in islets, and cytokines modified expression of several of these transcripts. The present study doubles the number of known genes expressed in human islets and shows that cytokines modify alternative splicing in human islet cells. Importantly, it indicates that more than half of the known T1D candidate genes are expressed in human islets. This, and the production of a large number of chemokines and cytokines by cytokine-exposed islets, reinforces the concept of a dialog between pancreatic islets and the immune system in T1D. This dialog is modulated by candidate genes for the disease at both the immune system and beta cell level.
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spelling pubmed-32975762012-03-12 The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines Eizirik, Décio L. Sammeth, Michael Bouckenooghe, Thomas Bottu, Guy Sisino, Giorgia Igoillo-Esteve, Mariana Ortis, Fernanda Santin, Izortze Colli, Maikel L. Barthson, Jenny Bouwens, Luc Hughes, Linda Gregory, Lorna Lunter, Gerton Marselli, Lorella Marchetti, Piero McCarthy, Mark I. Cnop, Miriam PLoS Genet Research Article Type 1 diabetes (T1D) is an autoimmune disease in which pancreatic beta cells are killed by infiltrating immune cells and by cytokines released by these cells. Signaling events occurring in the pancreatic beta cells are decisive for their survival or death in diabetes. We have used RNA sequencing (RNA–seq) to identify transcripts, including splice variants, expressed in human islets of Langerhans under control conditions or following exposure to the pro-inflammatory cytokines interleukin-1β (IL-1β) and interferon-γ (IFN-γ). Based on this unique dataset, we examined whether putative candidate genes for T1D, previously identified by GWAS, are expressed in human islets. A total of 29,776 transcripts were identified as expressed in human islets. Expression of around 20% of these transcripts was modified by pro-inflammatory cytokines, including apoptosis- and inflammation-related genes. Chemokines were among the transcripts most modified by cytokines, a finding confirmed at the protein level by ELISA. Interestingly, 35% of the genes expressed in human islets undergo alternative splicing as annotated in RefSeq, and cytokines caused substantial changes in spliced transcripts. Nova1, previously considered a brain-specific regulator of mRNA splicing, is expressed in islets and its knockdown modified splicing. 25/41 of the candidate genes for T1D are expressed in islets, and cytokines modified expression of several of these transcripts. The present study doubles the number of known genes expressed in human islets and shows that cytokines modify alternative splicing in human islet cells. Importantly, it indicates that more than half of the known T1D candidate genes are expressed in human islets. This, and the production of a large number of chemokines and cytokines by cytokine-exposed islets, reinforces the concept of a dialog between pancreatic islets and the immune system in T1D. This dialog is modulated by candidate genes for the disease at both the immune system and beta cell level. Public Library of Science 2012-03-08 /pmc/articles/PMC3297576/ /pubmed/22412385 http://dx.doi.org/10.1371/journal.pgen.1002552 Text en Eizirik et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Eizirik, Décio L.
Sammeth, Michael
Bouckenooghe, Thomas
Bottu, Guy
Sisino, Giorgia
Igoillo-Esteve, Mariana
Ortis, Fernanda
Santin, Izortze
Colli, Maikel L.
Barthson, Jenny
Bouwens, Luc
Hughes, Linda
Gregory, Lorna
Lunter, Gerton
Marselli, Lorella
Marchetti, Piero
McCarthy, Mark I.
Cnop, Miriam
The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines
title The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines
title_full The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines
title_fullStr The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines
title_full_unstemmed The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines
title_short The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines
title_sort human pancreatic islet transcriptome: expression of candidate genes for type 1 diabetes and the impact of pro-inflammatory cytokines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297576/
https://www.ncbi.nlm.nih.gov/pubmed/22412385
http://dx.doi.org/10.1371/journal.pgen.1002552
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