Evidence map›Paper›PMID 30455304›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

ERVmap analysis reveals genome-wide transcription of human endogenous retroviruses.

Maria Tokuyama, Yong Kong, Eric Song, Teshika Jayewickreme, Insoo Kang, Akiko Iwasaki

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed
28.0field-weighted citation impact, top 1% 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

134 citing papers in PubMed, 209 citations in OpenAlex.

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74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Maria TokuyamaDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06520.
Yong KongDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06520.
Eric SongDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06520.
Teshika JayewickremeDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06520.
Insoo KangDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT 06520.
Akiko IwasakiDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06520; akiko.iwasaki@yale.edu.ORCID 0000-0002-7824-9856
Yale University · USHoward Hughes Medical Institute · US

Funding

Human and Translational ImmunologyT32AI089704 · NIAID · YALE UNIVERSITY · PI HEROLD, KEVAN C · 2010 to 2014
$994k
Aging and IL-7-Mediated CD8+ T Cell SurvivalR56AG028069 · NIA · YALE UNIVERSITY · PI KANG, INSOO · 2015 to 2015
$416k
NIAID NIH HHS T32 AI089704NIA NIH HHS R56 AG028069
6 · The paper itself

Abstract

Endogenous retroviruses (ERVs) are integrated retroviral elements that make up 8% of the human genome. However, the impact of ERVs on human health and disease is not well understood. While select ERVs have been implicated in diseases, including autoimmune disease and cancer, the lack of tools to analyze genome-wide, locus-specific expression of proviral autonomous ERVs has hampered the progress in the field. Here we describe a method called ERVmap, consisting of an annotated database of 3,220 human proviral ERVs and a pipeline that allows for locus-specific genome-wide identification of proviral ERVs that are transcribed based on RNA-sequencing data, and provide examples of the utility of this tool. Using ERVmap, we revealed cell-type-specific ERV expression patterns in commonly used cell lines as well as in primary cells. We identified 124 unique ERV loci that are significantly elevated in the peripheral blood mononuclear cells of patients with systemic lupus erythematosus that represent an IFN-independent signature. Finally, we identified additional tumor-associated ERVs that correlate with cytolytic activity represented by granzyme and perforin expression in breast cancer tissue samples. The open-source code of ERVmap and the accompanied web tool are made publicly available to quantify proviral ERVs in RNA-sequencing data with ease. Use of ERVmap across a range of diseases and experimental conditions has the potential to uncover novel disease-associated antigens and effectors involved in human health that is currently missed by focusing on protein-coding sequences.

Indexed as

Breast NeoplasmsCell LineChromosome MappingComputational BiologyDatabases, Nucleic AcidEndogenous RetrovirusesFemaleGenome, HumanGenome, ViralHumansImmunologic SurveillanceLeukocytes, MononuclearLupus Erythematosus, SystemicProvirusesSequence Analysis, RNATranscription, Geneticcancerendogenous retroviruseslupusretroelementsRNA sequencing

Identifiers

PMID30455304
PMCPMC6294949
OpenAlexW2901283619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.