Evidence map›Paper›PMID 28358052›Full record

ArticleScientific reports2017

HIVed, a knowledgebase for differentially expressed human genes and proteins during HIV infection, replication and latency.

Chen Li, Sri H Ramarathinam, Jerico Revote, Georges Khoury, Jiangning Song, Anthony W Purcell

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Gene Expression: the Key to Understanding HIV-1 Infection?Microbiology and molecular biology reviews : MMBR · 2020
    Review
  3. Review
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.

Chen LiInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
Sri H RamarathinamInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
Jerico RevoteMonash Bioinformatics Platform, Monash University, Melbourne, VIC 3800, Australia.
Georges KhouryDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, VIC 3010, Australia.
Jiangning SongInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
Anthony W PurcellInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
Monash University · AUAustralian Regenerative Medicine Institute · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring the altered gene expression level and identifying differentially expressed genes/proteins during HIV infection, replication and latency is fundamental for broadening our understanding of the mechanisms of HIV infection and T-cell dysfunction. Such studies are crucial for developing effective strategies for virus eradication from the body. Inspired by the availability and enrichment of gene expression data during HIV infection, replication and latency, in this study, we proposed a novel compendium termed HIVed (HIV expression database; http://hivlatency.erc.monash.edu/) that harbours comprehensive functional annotations of proteins, whose genes have been shown to be dysregulated during HIV infection, replication and latency using different experimental designs and measurements. We manually curated a variety of third-party databases for structural and functional annotations of the protein entries in HIVed. With the goal of benefiting HIV related research, we collected a number of biological annotations for all the entries in HIVed besides their expression profile, including basic protein information, Gene Ontology terms, secondary structure, HIV-1 interaction and pathway information. We hope this comprehensive protein-centric knowledgebase can bridge the gap between the understanding of differentially expressed genes and the functions of their protein products, facilitating the generation of novel hypotheses and treatment strategies to fight against the HIV pandemic.

Indexed as

Databases, ChemicalDatabases, GeneticGene Expression ProfilingVirus LatencyVirus ReplicationHIV-1HIV InfectionsHumansMolecular Sequence Annotation

Identifiers

PMID28358052
PMCPMC5371986
OpenAlexW2600288613

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.