Your browser doesn't support javascript.
loading
Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism.
Fadista, João; Vikman, Petter; Laakso, Emilia Ottosson; Mollet, Inês Guerra; Esguerra, Jonathan Lou; Taneera, Jalal; Storm, Petter; Osmark, Peter; Ladenvall, Claes; Prasad, Rashmi B; Hansson, Karin B; Finotello, Francesca; Uvebrant, Kristina; Ofori, Jones K; Di Camillo, Barbara; Krus, Ulrika; Cilio, Corrado M; Hansson, Ola; Eliasson, Lena; Rosengren, Anders H; Renström, Erik; Wollheim, Claes B; Groop, Leif.
Afiliación
  • Fadista J; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; joao.fadista@med.lu.se Leif.Groop@med.lu.se.
  • Vikman P; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Laakso EO; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Mollet IG; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Esguerra JL; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Taneera J; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Storm P; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Osmark P; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Ladenvall C; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Prasad RB; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Hansson KB; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Finotello F; Department of Information Engineering, University of Padova, 35131 Padova, Italy; and.
  • Uvebrant K; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Ofori JK; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Di Camillo B; Department of Information Engineering, University of Padova, 35131 Padova, Italy; and.
  • Krus U; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Cilio CM; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Hansson O; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Eliasson L; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Rosengren AH; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Renström E; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
  • Wollheim CB; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva 4, Switzerland.
  • Groop L; Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; joao.fadista@med.lu.se Leif.Groop@med.lu.se.
Proc Natl Acad Sci U S A ; 111(38): 13924-9, 2014 Sep 23.
Article en En | MEDLINE | ID: mdl-25201977
ABSTRACT
Genetic variation can modulate gene expression, and thereby phenotypic variation and susceptibility to complex diseases such as type 2 diabetes (T2D). Here we harnessed the potential of DNA and RNA sequencing in human pancreatic islets from 89 deceased donors to identify genes of potential importance in the pathogenesis of T2D. We present a catalog of genetic variants regulating gene expression (eQTL) and exon use (sQTL), including many long noncoding RNAs, which are enriched in known T2D-associated loci. Of 35 eQTL genes, whose expression differed between normoglycemic and hyperglycemic individuals, siRNA of tetraspanin 33 (TSPAN33), 5'-nucleotidase, ecto (NT5E), transmembrane emp24 protein transport domain containing 6 (TMED6), and p21 protein activated kinase 7 (PAK7) in INS1 cells resulted in reduced glucose-stimulated insulin secretion. In addition, we provide a genome-wide catalog of allelic expression imbalance, which is also enriched in known T2D-associated loci. Notably, allelic imbalance in paternally expressed gene 3 (PEG3) was associated with its promoter methylation and T2D status. Finally, RNA editing events were less common in islets than previously suggested in other tissues. Taken together, this study provides new insights into the complexity of gene regulation in human pancreatic islets and better understanding of how genetic variation can influence glucose metabolism.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Transcriptoma / Glucosa Límite: Female / Humans / Male Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Transcriptoma / Glucosa Límite: Female / Humans / Male Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2014 Tipo del documento: Article