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Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data
BACKGROUND: Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved...
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/PMC6873650/ https://www.ncbi.nlm.nih.gov/pubmed/31757210 http://dx.doi.org/10.1186/s12859-019-3113-x |
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author | Spirito, Giovanni Mangoni, Damiano Sanges, Remo Gustincich, Stefano |
author_facet | Spirito, Giovanni Mangoni, Damiano Sanges, Remo Gustincich, Stefano |
author_sort | Spirito, Giovanni |
collection | PubMed |
description | BACKGROUND: Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved in the evolution of primate genomes, especially from a regulatory perspective. Due to their recent activity they are also one of the primary sources of structural variants (SVs) in the human genome. By taking advantage of sequencing technologies and bioinformatics tools, recent surveys uncovered specific TE structural variants (TEVs) that gave rise to polymorphisms in human populations. When combined with RNA-seq data this information provides the opportunity to study the potential impact of TEs on gene expression in human. RESULTS: In this work, we assessed the effects of the presence of specific TEs in cis on the expression of flanking genes by producing associations between polymorphic TEs and flanking gene expression levels in human lymphoblastoid cell lines. By using public data from the 1000 Genome Project and the Geuvadis consortium, we exploited an expression quantitative trait loci (eQTL) approach integrated with additional bioinformatics data mining analyses. We uncovered human loci enriched for common, less common and rare TEVs and identified 323 significant TEV-cis-eQTL associations. SINE-R/VNTR/Alus (SVAs) resulted the TE class with the strongest effects on gene expression. We also unveiled differential functional enrichments on genes associated to TEVs, genes associated to TEV-cis-eQTLs and genes associated to the genomic regions mostly enriched in TEV-cis-eQTLs highlighting, at multiple levels, the impact of TEVs on the host genome. Finally, we also identified polymorphic TEs putatively embedded in transcriptional units, proposing a novel mechanism in which TEVs may mediate individual-specific traits. CONCLUSION: We contributed to unveiling the effect of polymorphic TEs on transcription in lymphoblastoid cell lines. |
format | Online Article Text |
id | pubmed-6873650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68736502019-11-25 Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data Spirito, Giovanni Mangoni, Damiano Sanges, Remo Gustincich, Stefano BMC Bioinformatics Research BACKGROUND: Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved in the evolution of primate genomes, especially from a regulatory perspective. Due to their recent activity they are also one of the primary sources of structural variants (SVs) in the human genome. By taking advantage of sequencing technologies and bioinformatics tools, recent surveys uncovered specific TE structural variants (TEVs) that gave rise to polymorphisms in human populations. When combined with RNA-seq data this information provides the opportunity to study the potential impact of TEs on gene expression in human. RESULTS: In this work, we assessed the effects of the presence of specific TEs in cis on the expression of flanking genes by producing associations between polymorphic TEs and flanking gene expression levels in human lymphoblastoid cell lines. By using public data from the 1000 Genome Project and the Geuvadis consortium, we exploited an expression quantitative trait loci (eQTL) approach integrated with additional bioinformatics data mining analyses. We uncovered human loci enriched for common, less common and rare TEVs and identified 323 significant TEV-cis-eQTL associations. SINE-R/VNTR/Alus (SVAs) resulted the TE class with the strongest effects on gene expression. We also unveiled differential functional enrichments on genes associated to TEVs, genes associated to TEV-cis-eQTLs and genes associated to the genomic regions mostly enriched in TEV-cis-eQTLs highlighting, at multiple levels, the impact of TEVs on the host genome. Finally, we also identified polymorphic TEs putatively embedded in transcriptional units, proposing a novel mechanism in which TEVs may mediate individual-specific traits. CONCLUSION: We contributed to unveiling the effect of polymorphic TEs on transcription in lymphoblastoid cell lines. BioMed Central 2019-11-22 /pmc/articles/PMC6873650/ /pubmed/31757210 http://dx.doi.org/10.1186/s12859-019-3113-x 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 Spirito, Giovanni Mangoni, Damiano Sanges, Remo Gustincich, Stefano Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
title | Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
title_full | Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
title_fullStr | Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
title_full_unstemmed | Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
title_short | Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
title_sort | impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873650/ https://www.ncbi.nlm.nih.gov/pubmed/31757210 http://dx.doi.org/10.1186/s12859-019-3113-x |
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