PT - JOURNAL ARTICLE AU - Elizaveta M. Solovyeva AU - Stephan Utzinger AU - Alexandra Vissières AU - Joanna Mitchelmore AU - Erik Ahrné AU - Erwin Hermes AU - Tania Poetsch AU - Marie Ronco AU - Michael Bidinosti AU - Claudia Merkl AU - Fabrizio C. Serluca AU - James Fessenden AU - Ulrike Naumann AU - Hans Voshol AU - Angelika Meyer AU - Sebastian Hoersch TI - Integrative proteogenomics for differential expression and splicing variation in a DM1 mouse model AID - 10.1101/2021.05.15.443842 DP - 2021 Jan 01 TA - bioRxiv PG - 2021.05.15.443842 4099 - http://biorxiv.org/content/early/2021/05/16/2021.05.15.443842.short 4100 - http://biorxiv.org/content/early/2021/05/16/2021.05.15.443842.full AB - Dysregulated mRNA splicing is involved in the pathogenesis of many diseases including cancer, neurodegenerative diseases, and muscular dystrophies such as myotonic dystrophy type 1 (DM1). Comprehensive assessment of dysregulated splicing on the transcriptome and proteome level have been methodologically challenging, and thus investigations have often been targeting only few genes.Here, we performed a large-scale coordinated transcriptomic and proteomic analysis to characterize a DM1 mouse model (HSALR) in comparison to wild-type. Our integrative proteogenomics approach comprised gene- and splicing-level assessments for mRNAs and proteins. It recapitulated many known instances of aberrant mRNA splicing in DM1 and identified new ones. It enabled the design and targeting of splicing-specific peptides and confirmed the translation of known instances of aberrantly spliced disease-related genes (e.g. Atp2a1, Bin1, Ryr1), complemented by novel findings (e.g. Ywhae, Flnc, Svil). Comparative analysis of large-scale mRNA and protein expression data showed remarkable agreement of differential patterns between disease and wild-type on both the gene and especially the splicing level.We hence believe that our work is suitable as a model for a robust and scalable integrative proteogenomic strategy. This strategy provides investigative approaches, advances our understanding of the disease biology of splicing-based disorders, and helps establish robust splicing-specific biomarkers.Competing Interest StatementAll authors except E.M.S. are employees of Novartis, and some hold Novartis stock. E.M.S. declares no conflicts.DM1Myotonic Dystrophy, type 1WTwild-typeTxTranscriptomicsPxProteomicsGEGene ExpressionDGEDifferential Gene ExpressionDASDifferential Alternative SplicingRNA-seqhigh-throughput mRNA sequencingFPKMFragments Per Kilobase of transcript per Million mapped reads (RNA-seq analysis)FCfold changeMSMass SpectrometryHPLCHigh-Performance Liquid ChromatographyDDAData-Dependent AcquisitionTMTTandem Mass TagPRMParallel Reaction Monitoring