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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 identifie...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371455/ https://www.ncbi.nlm.nih.gov/pubmed/30744673 http://dx.doi.org/10.1186/s13059-019-1644-0 |
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author | Linker, Stephanie M. Urban, Lara Clark, Stephen J. Chhatriwala, Mariya Amatya, Shradha McCarthy, Davis J. Ebersberger, Ingo Vallier, Ludovic Reik, Wolf Stegle, Oliver Bonder, Marc Jan |
author_facet | Linker, Stephanie M. Urban, Lara Clark, Stephen J. Chhatriwala, Mariya Amatya, Shradha McCarthy, Davis J. Ebersberger, Ingo Vallier, Ludovic Reik, Wolf Stegle, Oliver Bonder, Marc Jan |
author_sort | Linker, Stephanie M. |
collection | PubMed |
description | 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 features, including sequence composition and conservation. However, variability in splicing between single cells from the same tissue or cell type and its determinants remains 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 show 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 genomic features as well as DNA methylation information accurately predicts different splicing modes of individual cassette exons. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1644-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6371455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63714552019-02-21 Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity Linker, Stephanie M. Urban, Lara Clark, Stephen J. Chhatriwala, Mariya Amatya, Shradha McCarthy, Davis J. Ebersberger, Ingo Vallier, Ludovic Reik, Wolf Stegle, Oliver Bonder, Marc Jan Genome Biol Research 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 features, including sequence composition and conservation. However, variability in splicing between single cells from the same tissue or cell type and its determinants remains 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 show 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 genomic features as well as DNA methylation information accurately predicts different splicing modes of individual cassette exons. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1644-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-11 /pmc/articles/PMC6371455/ /pubmed/30744673 http://dx.doi.org/10.1186/s13059-019-1644-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Linker, Stephanie M. Urban, Lara Clark, Stephen J. Chhatriwala, Mariya Amatya, Shradha McCarthy, Davis J. Ebersberger, Ingo Vallier, Ludovic Reik, Wolf Stegle, Oliver Bonder, Marc Jan Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity |
title | Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity |
title_full | Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity |
title_fullStr | Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity |
title_full_unstemmed | Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity |
title_short | Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity |
title_sort | combined single-cell profiling of expression and dna methylation reveals splicing regulation and heterogeneity |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371455/ https://www.ncbi.nlm.nih.gov/pubmed/30744673 http://dx.doi.org/10.1186/s13059-019-1644-0 |
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