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Islet Gene View—a tool to facilitate islet research

Characterization of gene expression in pancreatic islets and its alteration in type 2 diabetes (T2D) are vital in understanding islet function and T2D pathogenesis. We leveraged RNA sequencing and genome-wide genotyping in islets from 188 donors to create the Islet Gene View (IGW) platform to make t...

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Autores principales: Asplund, Olof, Storm, Petter, Chandra, Vikash, Hatem, Gad, Ottosson-Laakso, Emilia, Mansour-Aly, Dina, Krus, Ulrika, Ibrahim, Hazem, Ahlqvist, Emma, Tuomi, Tiinamaija, Renström, Erik, Korsgren, Olle, Wierup, Nils, Ibberson, Mark, Solimena, Michele, Marchetti, Piero, Wollheim, Claes, Artner, Isabella, Mulder, Hindrik, Hansson, Ola, Otonkoski, Timo, Groop, Leif, Prasad, Rashmi B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366203/
https://www.ncbi.nlm.nih.gov/pubmed/35948367
http://dx.doi.org/10.26508/lsa.202201376
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author Asplund, Olof
Storm, Petter
Chandra, Vikash
Hatem, Gad
Ottosson-Laakso, Emilia
Mansour-Aly, Dina
Krus, Ulrika
Ibrahim, Hazem
Ahlqvist, Emma
Tuomi, Tiinamaija
Renström, Erik
Korsgren, Olle
Wierup, Nils
Ibberson, Mark
Solimena, Michele
Marchetti, Piero
Wollheim, Claes
Artner, Isabella
Mulder, Hindrik
Hansson, Ola
Otonkoski, Timo
Groop, Leif
Prasad, Rashmi B
author_facet Asplund, Olof
Storm, Petter
Chandra, Vikash
Hatem, Gad
Ottosson-Laakso, Emilia
Mansour-Aly, Dina
Krus, Ulrika
Ibrahim, Hazem
Ahlqvist, Emma
Tuomi, Tiinamaija
Renström, Erik
Korsgren, Olle
Wierup, Nils
Ibberson, Mark
Solimena, Michele
Marchetti, Piero
Wollheim, Claes
Artner, Isabella
Mulder, Hindrik
Hansson, Ola
Otonkoski, Timo
Groop, Leif
Prasad, Rashmi B
author_sort Asplund, Olof
collection PubMed
description Characterization of gene expression in pancreatic islets and its alteration in type 2 diabetes (T2D) are vital in understanding islet function and T2D pathogenesis. We leveraged RNA sequencing and genome-wide genotyping in islets from 188 donors to create the Islet Gene View (IGW) platform to make this information easily accessible to the scientific community. Expression data were related to islet phenotypes, diabetes status, other islet-expressed genes, islet hormone-encoding genes and for expression in insulin target tissues. The IGW web application produces output graphs for a particular gene of interest. In IGW, 284 differentially expressed genes (DEGs) were identified in T2D donor islets compared with controls. Forty percent of DEGs showed cell-type enrichment and a large proportion significantly co-expressed with islet hormone-encoding genes; glucagon (GCG, 56%), amylin (IAPP, 52%), insulin (INS, 44%), and somatostatin (SST, 24%). Inhibition of two DEGs, UNC5D and SERPINE2, impaired glucose-stimulated insulin secretion and impacted cell survival in a human β-cell model. The exploratory use of IGW could help designing more comprehensive functional follow-up studies and serve to identify therapeutic targets in T2D.
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spelling pubmed-93662032022-08-29 Islet Gene View—a tool to facilitate islet research Asplund, Olof Storm, Petter Chandra, Vikash Hatem, Gad Ottosson-Laakso, Emilia Mansour-Aly, Dina Krus, Ulrika Ibrahim, Hazem Ahlqvist, Emma Tuomi, Tiinamaija Renström, Erik Korsgren, Olle Wierup, Nils Ibberson, Mark Solimena, Michele Marchetti, Piero Wollheim, Claes Artner, Isabella Mulder, Hindrik Hansson, Ola Otonkoski, Timo Groop, Leif Prasad, Rashmi B Life Sci Alliance Resources Characterization of gene expression in pancreatic islets and its alteration in type 2 diabetes (T2D) are vital in understanding islet function and T2D pathogenesis. We leveraged RNA sequencing and genome-wide genotyping in islets from 188 donors to create the Islet Gene View (IGW) platform to make this information easily accessible to the scientific community. Expression data were related to islet phenotypes, diabetes status, other islet-expressed genes, islet hormone-encoding genes and for expression in insulin target tissues. The IGW web application produces output graphs for a particular gene of interest. In IGW, 284 differentially expressed genes (DEGs) were identified in T2D donor islets compared with controls. Forty percent of DEGs showed cell-type enrichment and a large proportion significantly co-expressed with islet hormone-encoding genes; glucagon (GCG, 56%), amylin (IAPP, 52%), insulin (INS, 44%), and somatostatin (SST, 24%). Inhibition of two DEGs, UNC5D and SERPINE2, impaired glucose-stimulated insulin secretion and impacted cell survival in a human β-cell model. The exploratory use of IGW could help designing more comprehensive functional follow-up studies and serve to identify therapeutic targets in T2D. Life Science Alliance LLC 2022-08-10 /pmc/articles/PMC9366203/ /pubmed/35948367 http://dx.doi.org/10.26508/lsa.202201376 Text en © 2022 Asplund et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
spellingShingle Resources
Asplund, Olof
Storm, Petter
Chandra, Vikash
Hatem, Gad
Ottosson-Laakso, Emilia
Mansour-Aly, Dina
Krus, Ulrika
Ibrahim, Hazem
Ahlqvist, Emma
Tuomi, Tiinamaija
Renström, Erik
Korsgren, Olle
Wierup, Nils
Ibberson, Mark
Solimena, Michele
Marchetti, Piero
Wollheim, Claes
Artner, Isabella
Mulder, Hindrik
Hansson, Ola
Otonkoski, Timo
Groop, Leif
Prasad, Rashmi B
Islet Gene View—a tool to facilitate islet research
title Islet Gene View—a tool to facilitate islet research
title_full Islet Gene View—a tool to facilitate islet research
title_fullStr Islet Gene View—a tool to facilitate islet research
title_full_unstemmed Islet Gene View—a tool to facilitate islet research
title_short Islet Gene View—a tool to facilitate islet research
title_sort islet gene view—a tool to facilitate islet research
topic Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366203/
https://www.ncbi.nlm.nih.gov/pubmed/35948367
http://dx.doi.org/10.26508/lsa.202201376
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