Evidence map›Paper›PMID 28472109›Full record

ArticlePloS one2017

EnHERV: Enrichment analysis of specific human endogenous retrovirus patterns and their neighboring genes.

Pumipat Tongyoo, Yingyos Avihingsanon, Santhitham Prom-On, Apiwat Mutirangura, Wuttichai Mhuantong, Nattiya Hirankarn

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  12. Neoantigens: promising targets for cancer therapy.Signal transduction and targeted therapy · 2023
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  14. Alternative tumour-specific antigens.Nature reviews. Cancer · 2019
    Review
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Pumipat TongyooInter-Department Program of Biomedical Sciences, Faculty of Graduate School, Chulalongkorn University, Bangkok, Thailand.
Yingyos AvihingsanonCenter of Excellence in Immunology and Immune Mediated Diseases, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Santhitham Prom-OnComputer Engineering Department, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangmod, Thungkhru, Bangkok, Thailand.
Apiwat MutiranguraCenter of Excellence of Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Wuttichai MhuantongEnzyme Technology Laboratory, Microbial Biotechnology and Biochemicals Research Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), Khlong Luang, Pathum Thani.
Nattiya HirankarnCenter of Excellence in Immunology and Immune Mediated Diseases, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID http://orcid.org/0000-0003-2224-6856
Chulalongkorn University · THKing Mongkut's University of Technology Thonburi · THNational Center for Genetic Engineering and Biotechnology · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human endogenous retroviruses (HERVs) are flanked by long terminal repeats (LTRs), which contain the regulation part of the retrovirus. Remaining HERVs constitute 7% to 8% of the present day human genome, and most have been identified as solo LTRs. The HERV sequences have been associated with several molecular functions as well as certain diseases in human, but their roles in human diseases are yet to be established. We designed EnHERV to make accessible the identified endogenous retrovirus repetitive sequences from Repbase Update (a database of eukaryotic repetitive elements) that are present in the human genome. Defragmentation process was done to improve the RepeatMasker annotation output. The defragmented elements were used as core database in EnHERV. EnHERV is available at http://sysbio.chula.ac.th/enherv and can be searched using either gene lists of user interest or HERV characteristics. Besides the search function, EnHERV also provides an enrichment analysis function that allows users to perform enrichment analysis between selected HERV characteristics and user-input gene lists, especially genes with the expression profile of a certain disease. EnHERV will facilitate exploratory studies of specific HERV characteristics that control gene expression patterns related to various disease conditions. Here we analyzed 25 selected HERV groups/names from all four HERV superfamilies, using the sense and anti-sense directions of the HERV and gene expression profiles from 49 specific tissue and disease conditions. We found that intragenic HERVs were associated with down-regulated genes in most cancer conditions and in psoriatic skin tissues and associated with up-regulated genes in immune cells particularly from systemic lupus erythematosus (SLE) patients. EnHERV allowed the analysis of how different types of LTRs were differentially associated with specific gene expression profiles in particular disease conditions for further studies into their mechanisms and functions.

Indexed as

Genes, ViralAutoimmune DiseasesEndogenous RetrovirusesHumansTerminal Repeat Sequences

Identifiers

PMID28472109
PMCPMC5417679
OpenAlexW2610715130

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.