DIGGER 2.0: digging into the functional impact of differential splicing on human and mouse disorders

Changes in alternative splicing between groups or conditions contribute to protein-protein interaction rewiring, a consequence often neglected in data analysis. The web server and database DIGGER overcomes this limitation by augmenting a protein-protein interaction network with domain-domain interactions and splicing information. Here, we present DIGGER 2.0, which now features both experimental and newly added predicted domain-domain interactions. In addition to the human interactome, DIGGER 2.0 adds support for mouse as an important model organism. Additionally, we integrated the splicing analysis tool NEASE, which allows users to perform online splicing- and interactome-informed enrichment analysis on RNA-seq data. In two application cases (multiple sclerosis and mice models of cardiac diseases), we show the utility of DIGGER 2.0 for deeper exploration and functional interpretation of changes in alternative splicing in human and mouse disorders. DIGGER 2.0 is available at https://exbio.wzw.tum.de/digger/.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-08
DOI
https://doi.org/10.1093/nar/gkaf384
Citations
2
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
1.61

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article

DIGGER 2.0: digging into the functional impact of differential splicing on human and mouse disorders

K. Pelz, Alexander Greß, Markus List, E. Albrecht et al.
2 citations
Nucleic Acids Research
RNA Research and Splicing
1.61
article

DIGGER 2.0: digging into the functional impact of differential splicing on human and mouse disorders

K. Pelz, Alexander Greß, Markus List, E. Albrecht, Olga Tsoy, Tim Kacprowski, Jan Baumbach, Olga V. Kalinina, Hieu Nguyen Trung
article en
2 citations

Abstract

Changes in alternative splicing between groups or conditions contribute to protein-protein interaction rewiring, a consequence often neglected in data analysis. The web server and database DIGGER overcomes this limitation by augmenting a protein-protein interaction network with domain-domain interactions and splicing information. Here, we present DIGGER 2.0, which now features both experimental and newly added predicted domain-domain interactions. In addition to the human interactome, DIGGER 2.0 adds support for mouse as an important model organism. Additionally, we integrated the splicing analysis tool NEASE, which allows users to perform online splicing- and interactome-informed enrichment analysis on RNA-seq data. In two application cases (multiple sclerosis and mice models of cardiac diseases), we show the utility of DIGGER 2.0 for deeper exploration and functional interpretation of changes in alternative splicing in human and mouse disorders. DIGGER 2.0 is available at https://exbio.wzw.tum.de/digger/.

Nucleic Acids ResearchVol. 53(W1)
Albert Einstein College of Medicine (US), Universität Hamburg (DE), University of Southern Denmark (DK), Medizinische Hochschule Hannover (DE), Helmholtz Centre for Infection Research (DE), Helmholtz Institute for Pharmaceutical Research Saarland (DE), Technical University of Munich (DE), Saarland University (DE), Technische Universität Braunschweig (DE)
Bundesministerium für Bildung und Forschung, Klaus Tschira Stiftung
Openalex Percentile: Top 17%
RNA Research and Splicing
1.61
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