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Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

  • Background: Alternative splicing is a key regulatory mechanism in eukaryotic cells and increases the effective number of functionally distinct gene products. Using bulk RNA sequencing, splicing variation has been studied across human tissues and in genetically diverse populations. This has identified disease-relevant splicing events, as well as associations between splicing and genomic variations, including sequence composition and conservation. However, variability in splicing between single cells from the same tissue or cell type and its determinants remain poorly understood. Results: We applied parallel DNA methylation and transcriptome sequencing to differentiating human induced pluripotent stem cells to characterize splicing variation (exon skipping) and its determinants. Our results shows that variation in single-cell splicing can be accurately predicted based on local sequence composition and genomic features. We observe moderate but consistent contributions from local DNA methylation profiles to splicing variation across cells. A combined model that is built based on sequence as well as DNA methylation information accurately predicts different splicing modes of individual cassette exons (AUC=0.85). These categories include the conventional inclusion and exclusion patterns, but also more subtle modes of cell-to-cell variation in splicing. Finally, we identified and characterized associations between DNA methylation and splicing changes during cell differentiation. Conclusions: Our study yields new insights into alternative splicing at the single-cell level and reveals a previously underappreciated link between DNA methylation variation and splicing.

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Metadaten
Author:Stephanie M. LinkerORCiDGND, Lara UrbanORCiD, Stephen ClarkORCiD, Mariya ChhatriwalaORCiD, Shradha Amatya, Davis J. McCarthyORCiD, Ingo EbersbergerORCiDGND, Ludovic VallierORCiD, Wolf ReikORCiD, Oliver StegleORCiDGND, Marc Jan BonderORCiD
URN:urn:nbn:de:hebis:30:3-725059
URL:https://www.biorxiv.org/content/10.1101/328138v3
DOI:https://doi.org/10.1101/328138
Parent Title (English):bioRxiv
Publisher:bioRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2018/11/06
Date of first Publication:2018/11/06
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/07/16
Issue:32813 Version 3
Edition:Version 3
Page Number:32
Institutes:Biowissenschaften / Biowissenschaften
Angeschlossene und kooperierende Institutionen / Senckenbergische Naturforschende Gesellschaft
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International