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Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues
BACKGROUND: Mobile elements are a major source of structural variants in the human genome, and some mobile elements can regulate gene expression and transcript splicing. However, the impact of polymorphic mobile element insertions (pMEIs) on gene expression and splicing in diverse human tissues has...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385971/ https://www.ncbi.nlm.nih.gov/pubmed/32718348 http://dx.doi.org/10.1186/s13059-020-02101-4 |
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author | Cao, Xiaolong Zhang, Yeting Payer, Lindsay M. Lords, Hannah Steranka, Jared P. Burns, Kathleen H. Xing, Jinchuan |
author_facet | Cao, Xiaolong Zhang, Yeting Payer, Lindsay M. Lords, Hannah Steranka, Jared P. Burns, Kathleen H. Xing, Jinchuan |
author_sort | Cao, Xiaolong |
collection | PubMed |
description | BACKGROUND: Mobile elements are a major source of structural variants in the human genome, and some mobile elements can regulate gene expression and transcript splicing. However, the impact of polymorphic mobile element insertions (pMEIs) on gene expression and splicing in diverse human tissues has not been thoroughly studied. The multi-tissue gene expression and whole genome sequencing data generated by the Genotype-Tissue Expression (GTEx) project provide a great opportunity to systematically evaluate the role of pMEIs in regulating gene expression in human tissues. RESULTS: Using the GTEx whole genome sequencing data, we identify 20,545 high-quality pMEIs from 639 individuals. Coupling pMEI genotypes with gene expression profiles, we identify pMEI-associated expression quantitative trait loci (eQTLs) and splicing quantitative trait loci (sQTLs) in 48 tissues. Using joint analyses of pMEIs and other genomic variants, pMEIs are predicted to be the potential causal variant for 3522 eQTLs and 3717 sQTLs. The pMEI-associated eQTLs and sQTLs show a high level of tissue specificity, and these pMEIs are enriched in the proximity of affected genes and in regulatory elements. Using reporter assays, we confirm that several pMEIs associated with eQTLs and sQTLs can alter gene expression levels and isoform proportions, respectively. CONCLUSION: Overall, our study shows that pMEIs are associated with thousands of gene expression and splicing variations, indicating that pMEIs could have a significant role in regulating tissue-specific gene expression and transcript splicing. Detailed mechanisms for the role of pMEIs in gene regulation in different tissues will be an important direction for future studies. |
format | Online Article Text |
id | pubmed-7385971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73859712020-07-30 Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues Cao, Xiaolong Zhang, Yeting Payer, Lindsay M. Lords, Hannah Steranka, Jared P. Burns, Kathleen H. Xing, Jinchuan Genome Biol Research BACKGROUND: Mobile elements are a major source of structural variants in the human genome, and some mobile elements can regulate gene expression and transcript splicing. However, the impact of polymorphic mobile element insertions (pMEIs) on gene expression and splicing in diverse human tissues has not been thoroughly studied. The multi-tissue gene expression and whole genome sequencing data generated by the Genotype-Tissue Expression (GTEx) project provide a great opportunity to systematically evaluate the role of pMEIs in regulating gene expression in human tissues. RESULTS: Using the GTEx whole genome sequencing data, we identify 20,545 high-quality pMEIs from 639 individuals. Coupling pMEI genotypes with gene expression profiles, we identify pMEI-associated expression quantitative trait loci (eQTLs) and splicing quantitative trait loci (sQTLs) in 48 tissues. Using joint analyses of pMEIs and other genomic variants, pMEIs are predicted to be the potential causal variant for 3522 eQTLs and 3717 sQTLs. The pMEI-associated eQTLs and sQTLs show a high level of tissue specificity, and these pMEIs are enriched in the proximity of affected genes and in regulatory elements. Using reporter assays, we confirm that several pMEIs associated with eQTLs and sQTLs can alter gene expression levels and isoform proportions, respectively. CONCLUSION: Overall, our study shows that pMEIs are associated with thousands of gene expression and splicing variations, indicating that pMEIs could have a significant role in regulating tissue-specific gene expression and transcript splicing. Detailed mechanisms for the role of pMEIs in gene regulation in different tissues will be an important direction for future studies. BioMed Central 2020-07-27 /pmc/articles/PMC7385971/ /pubmed/32718348 http://dx.doi.org/10.1186/s13059-020-02101-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Cao, Xiaolong Zhang, Yeting Payer, Lindsay M. Lords, Hannah Steranka, Jared P. Burns, Kathleen H. Xing, Jinchuan Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
title | Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
title_full | Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
title_fullStr | Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
title_full_unstemmed | Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
title_short | Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
title_sort | polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385971/ https://www.ncbi.nlm.nih.gov/pubmed/32718348 http://dx.doi.org/10.1186/s13059-020-02101-4 |
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