<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Asplund O</submitter><funding>European Union’s Horizon 2020 Research and Innovation Programme and EFPIA</funding><funding>Swedish Foundation for Strategic Research to the Lund University Diabetes Centre</funding><funding>Regeneron and Eli Lilly</funding><funding>Swiss State Secretariat for Education‚ Research and Innovation</funding><funding>Diabetes Wellness</funding><funding>Innovative Medicines Initiative 2 Joint Undertaking</funding><funding>Heart Lung Foundation</funding><funding>Crafoord Foundation</funding><funding>Swedish Research Council</funding><funding>JDRF</funding><funding>Novo Nordisk Fonden</funding><funding>Hjelt Foundation</funding><pagination>e202201376</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9366203</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>5(12)</volume><pubmed_abstract>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 s</pubmed_abstract><journal>Life science alliance</journal><pubmed_title>Islet Gene View-a tool to facilitate islet research.</pubmed_title><pmcid>PMC9366203</pmcid><funding_grant_id>NNF18OC0034238</funding_grant_id><funding_grant_id>20180522</funding_grant_id><funding_grant_id>NNF20OC0063485</funding_grant_id><funding_grant_id>20200891</funding_grant_id><funding_grant_id>NNF22OC0078267</funding_grant_id><funding_grant_id>16.0097</funding_grant_id><funding_grant_id>EXODIAB</funding_grant_id><funding_grant_id>115881</funding_grant_id><funding_grant_id>NNF17OC0027158</funding_grant_id><funding_grant_id>720-858-16JDWG</funding_grant_id><funding_grant_id>2015-2558</funding_grant_id><funding_grant_id>IRC 15-0067</funding_grant_id><funding_grant_id>NNF20OC0063916</funding_grant_id><funding_grant_id>2009-1039</funding_grant_id><funding_grant_id>2015-06722</funding_grant_id><funding_grant_id>31-2008-416</funding_grant_id><pubmed_authors>Krus U</pubmed_authors><pubmed_authors>Ibrahim H</pubmed_authors><pubmed_authors>Groop L</pubmed_authors><pubmed_authors>Wierup N</pubmed_authors><pubmed_authors>Artner I</pubmed_authors><pubmed_authors>Wollheim C</pubmed_authors><pubmed_authors>Hansson O</pubmed_authors><pubmed_authors>Ahlqvist E</pubmed_authors><pubmed_authors>Otonkoski T</pubmed_authors><pubmed_authors>Mansour-Aly D</pubmed_authors><pubmed_authors>Storm P</pubmed_authors><pubmed_authors>Hatem G</pubmed_authors><pubmed_authors>Marchetti P</pubmed_authors><pubmed_authors>Korsgren O</pubmed_authors><pubmed_authors>Ibberson M</pubmed_authors><pubmed_authors>Ottosson-Laakso E</pubmed_authors><pubmed_authors>Renstrom E</pubmed_authors><pubmed_authors>Solimena M</pubmed_authors><pubmed_authors>Mulder H</pubmed_authors><pubmed_authors>Asplund O</pubmed_authors><pubmed_authors>Chandra V</pubmed_authors><pubmed_authors>Prasad RB</pubmed_authors><pubmed_authors>Tuomi T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Islet Gene View-a tool to facilitate islet research.</name><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 s</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2026-05-09T19:35:10.175Z</modification><creation>2025-04-21T14:51:38.902Z</creation></dates><accession>S-EPMC9366203</accession><cross_references><pubmed>35948367</pubmed><doi>10.26508/lsa.202201376</doi></cross_references></HashMap>