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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 (2023). CanIsoNet: a database to study the functional impact of isoform switching events in diseases. Bioinformatics advances, 3(1):vbad050.

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of Pathology and Molecular Pathology
07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Life Sciences > Structural Biology
Life Sciences > Molecular Biology
Life Sciences > Genetics
Physical Sciences > Computer Science Applications
Language:English
Date:2023
Deposited On:10 Aug 2023 09:32
Last Modified:26 Dec 2024 04:30
Publisher:Oxford University Press
ISSN:2635-0041
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1093/bioadv/vbad050
PubMed ID:37123454
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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