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Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
- Source :
- bioRxiv, Genome Biology, Genome Biology, Vol 20, Iss 1, Pp 1-14 (2019)
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Abstract
- BackgroundAlternative 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.ResultsWe 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.ConclusionsOur study yields new insights into alternative splicing at the single-cell level and reveals a previously underappreciated link between DNA methylation variation and splicing.
- Subjects :
- lcsh:QH426-470
Cellular differentiation
Induced Pluripotent Stem Cells
Computational biology
Biology
03 medical and health sciences
Exon
0302 clinical medicine
Single-cell analysis
Cell differentiation
Humans
lcsh:QH301-705.5
Gene
Splicing prediction
030304 developmental biology
0303 health sciences
Multi-omics
DNA methylation
Research
Alternative splicing
RNA
Exon skipping
lcsh:Genetics
Alternative Splicing
lcsh:Biology (General)
RNA splicing
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- bioRxiv, Genome Biology, Genome Biology, Vol 20, Iss 1, Pp 1-14 (2019)
- Accession number :
- edsair.doi.dedup.....6a1f05e4bc72ad61d4bd7a49c752f5d3
- Full Text :
- https://doi.org/10.1101/328138