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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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