Evidence map›Paper›PMID 38519883›Full record

ArticleBMC bioinformatics2024

HIHISIV: a database of gene expression in HIV and SIV host immune response.

Raquel L Costa, Luiz Gadelha, Mirela D'arc, Marcelo Ribeiro-Alves, David L Robertson, Jean-Marc Schwartz, Marcelo A Soares, Fábio Porto

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. GIDISdb: a gene expression database for exploring human immune responses in infectious diseases.Database : the journal of biological databases and curation · 2026
    Article
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

8 authors.

Raquel L CostaDEXL Lab, National Laboratory for Scientific Computing, Petrópolis, Brazil. quelopes@lncc.br.
Luiz GadelhaGerman Human Genome-Phenome Archive (GHGA, W620), German Cancer Research Center (DKFZ), Heidelberg, Germany. luiz.gadelha@dkfz-heidelberg.de.
Mirela D'arcUniversidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Marcelo Ribeiro-AlvesInstituto Nacional de Infectologia Evandro Chagas, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
David L RobertsonMRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK.
Jean-Marc SchwartzDivision of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.
Marcelo A SoaresDepartamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-902, Brazil.
Fábio PortoDEXL Lab, National Laboratory for Scientific Computing, Petrópolis, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the battle of the host against lentiviral pathogenesis, the immune response is crucial. However, several questions remain unanswered about the interaction with different viruses and their influence on disease progression. The simian immunodeficiency virus (SIV) infecting nonhuman primates (NHP) is widely used as a model for the study of the human immunodeficiency virus (HIV) both because they are evolutionarily linked and because they share physiological and anatomical similarities that are largely explored to understand the disease progression. The HIHISIV database was developed to support researchers to integrate and evaluate the large number of transcriptional data associated with the presence/absence of the pathogen (SIV or HIV) and the host response (NHP and human). The datasets are composed of microarray and RNA-Seq gene expression data that were selected, curated, analyzed, enriched, and stored in a relational database. Six query templates comprise the main data analysis functions and the resulting information can be downloaded. The HIHISIV database, available at  https://hihisiv.github.io , provides accurate resources for browsing and visualizing results and for more robust analyses of pre-existing data in transcriptome repositories.

Indexed as

HIV InfectionsSimian Acquired Immunodeficiency SyndromeSimian Immunodeficiency VirusAnimalsDisease ProgressionGene ExpressionHIVHumansImmunityHigh-throughput gene expression dataHIV-1Immune responseSIV

Identifiers

PMID38519883
PMCPMC10958971

What OpenQuestion holds

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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.