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CanIsoNet: a database to study the functional impact of isoform switching events in diseases.
Karakulak, Tülay; Szklarczyk, Damian; Saylan, Cemil Can; Moch, Holger; von Mering, Christian; Kahraman, Abdullah.
Afiliação
  • Karakulak T; Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
  • Szklarczyk D; Department of Pathology and Molecular Pathology, University Hospital Zurich, Schmelzbergstrasse 12, Zurich, 8091, Switzerland.
  • Saylan CC; Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, Lausanne, 1015, Switzerland.
  • Moch H; Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
  • von Mering C; Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, Lausanne, 1015, Switzerland.
  • Kahraman A; Computational Science and Engineering Department, Informatics Institute, Istanbul Technical University, Resitpasa, ITÜ Ayazaga Kampüsü, Istanbul, 34467, Türkiye.
Bioinform Adv ; 3(1): vbad050, 2023.
Article em En | MEDLINE | ID: mdl-37123454
ABSTRACT
Motivation Alternative splicing, as an essential regulatory mechanism in normal mammalian cells, is frequently disturbed in cancer and other diseases. Switches in the expression of most dominant alternative isoforms can alter protein interaction networks of associated genes giving rise to disease and disease progression. Here, we present CanIsoNet, a database to view, browse and search isoform switching events in diseases. CanIsoNet is the first webserver that incorporates isoform expression data with STRING interaction networks and ClinVar annotations to predict the pathogenic impact of isoform switching events in various diseases.

Results:

Data in CanIsoNet can be browsed by disease or searched by genes or isoforms in annotation-rich data tables. Various annotations for 11 811 isoforms and 14 357 unique isoform switching events across 31 different disease types are available. The network density score for each disease-specific isoform, PFAM domain IDs of disrupted interactions, domain structure visualization of transcripts and expression data of switched isoforms for each sample is given. Additionally, the genes annotated in ClinVar are highlighted in interactive interaction networks. Availability and implementation CanIsoNet is freely available at https//www.caniso.net. The source codes can be found under a Creative Common License at https//github.com/kahramanlab/CanIsoNet_Web. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinform Adv Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinform Adv Ano de publicação: 2023 Tipo de documento: Article