Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.

<h4>Background</h4>Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and...

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Main Authors: Fang Li, Sarven Sabunciyan, Robert H Yolken, Doheon Lee, Sanghyeon Kim, Håkan Karlsson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0207353
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spelling doaj-cbea91f5d7a24310a991dfac9bd9472e2021-03-04T10:38:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01141e020735310.1371/journal.pone.0207353Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.Fang LiSarven SabunciyanRobert H YolkenDoheon LeeSanghyeon KimHåkan Karlsson<h4>Background</h4>Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV transcripts have been detected in many tissues and cell-types based on microarray and PCR studies, the extent of HERV expression in different cell-types and diseases state has been less comprehensively studied.<h4>Results</h4>We examined overall transcription of HERV, and particularly of HERV-W and HERV-H elements in human postmortem brain samples obtained from individuals with psychiatric diagnoses (n = 111) and healthy controls (n = 51) by analyzing publicly available RNA sequencing datasets. Sequence reads were aligned to prototypical sequences representing HERV, downloaded from Repbase. We reported a consistent expression (0.1~0.2% of mappable reads) of different HERV families across three regions of human brains. Spearman correlations revealed highly correlated expression levels between three brain regionsacross 475 consensus sequences. By mapping sequences that aligned to the consensus sequences of HERV-W and HERV-H families to individual loci on chromosome 7, more than 60 loci from each family were identified, part of which are being transcribed. The ERVWE1, locus located at chr7q21.2, exhibited high levels of transcription across the three datasets. Notably, we demonstrated a trend of increased expression of overall HERV, as well as HERV-W family in samples from both schizophrenia and bipolar disorder patients.<h4>Conclusions</h4>The current analyses indicate that RNA sequencing is a useful approach for investigating global expression of repetitive elements, such as HERV, in the human genome. HERV-W/H with the tendency of transcription up-regulation in patients suggests potential implication of HERV-W/H in psychiatric diseases.https://doi.org/10.1371/journal.pone.0207353
collection DOAJ
language English
format Article
sources DOAJ
author Fang Li
Sarven Sabunciyan
Robert H Yolken
Doheon Lee
Sanghyeon Kim
Håkan Karlsson
spellingShingle Fang Li
Sarven Sabunciyan
Robert H Yolken
Doheon Lee
Sanghyeon Kim
Håkan Karlsson
Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.
PLoS ONE
author_facet Fang Li
Sarven Sabunciyan
Robert H Yolken
Doheon Lee
Sanghyeon Kim
Håkan Karlsson
author_sort Fang Li
title Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.
title_short Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.
title_full Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.
title_fullStr Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.
title_full_unstemmed Transcription of human endogenous retroviruses in human brain by RNA-seq analysis.
title_sort transcription of human endogenous retroviruses in human brain by rna-seq analysis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description <h4>Background</h4>Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV transcripts have been detected in many tissues and cell-types based on microarray and PCR studies, the extent of HERV expression in different cell-types and diseases state has been less comprehensively studied.<h4>Results</h4>We examined overall transcription of HERV, and particularly of HERV-W and HERV-H elements in human postmortem brain samples obtained from individuals with psychiatric diagnoses (n = 111) and healthy controls (n = 51) by analyzing publicly available RNA sequencing datasets. Sequence reads were aligned to prototypical sequences representing HERV, downloaded from Repbase. We reported a consistent expression (0.1~0.2% of mappable reads) of different HERV families across three regions of human brains. Spearman correlations revealed highly correlated expression levels between three brain regionsacross 475 consensus sequences. By mapping sequences that aligned to the consensus sequences of HERV-W and HERV-H families to individual loci on chromosome 7, more than 60 loci from each family were identified, part of which are being transcribed. The ERVWE1, locus located at chr7q21.2, exhibited high levels of transcription across the three datasets. Notably, we demonstrated a trend of increased expression of overall HERV, as well as HERV-W family in samples from both schizophrenia and bipolar disorder patients.<h4>Conclusions</h4>The current analyses indicate that RNA sequencing is a useful approach for investigating global expression of repetitive elements, such as HERV, in the human genome. HERV-W/H with the tendency of transcription up-regulation in patients suggests potential implication of HERV-W/H in psychiatric diseases.
url https://doi.org/10.1371/journal.pone.0207353
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