1. Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data
- Author
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Stefano Gustincich, Remo Sanges, Damiano Mangoni, and Giovanni Spirito
- Subjects
Transposable element ,Quantitative trait loci ,Transcription, Genetic ,Minisatellite Repeats ,Biology ,lcsh:Computer applications to medicine. Medical informatics ,Biochemistry ,Genome ,DNA sequencing ,Cell Line ,Databases ,03 medical and health sciences ,0302 clinical medicine ,Genetic ,Settore BIO/13 - Biologia Applicata ,Structural Biology ,Alu Elements ,Databases, Genetic ,Animals ,Humans ,Lymphocytes ,Polymorphism ,1000 Genomes Project ,Molecular Biology ,Gene ,lcsh:QH301-705.5 ,030304 developmental biology ,Genetics ,0303 health sciences ,Behavior ,Polymorphism, Genetic ,Genome, Human ,Applied Mathematics ,Research ,Functional enrichment ,Transposable elements ,DNA Transposable Elements ,Immunity ,Quantitative Trait Loci ,Computer Science Applications ,lcsh:Biology (General) ,Expression quantitative trait loci ,lcsh:R858-859.7 ,Human genome ,DNA microarray ,Transcription ,030217 neurology & neurosurgery ,Human - Abstract
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.
- Published
- 2019
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