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HIHISIV: a database of gene expression in HIV and SIV host immune response.
Costa, Raquel L; Gadelha, Luiz; D'arc, Mirela; Ribeiro-Alves, Marcelo; Robertson, David L; Schwartz, Jean-Marc; Soares, Marcelo A; Porto, Fábio.
Affiliation
  • Costa RL; DEXL Lab, National Laboratory for Scientific Computing, Petrópolis, Brazil. quelopes@lncc.br.
  • Gadelha L; German Human Genome-Phenome Archive (GHGA, W620), German Cancer Research Center (DKFZ), Heidelberg, Germany. luiz.gadelha@dkfz-heidelberg.de.
  • D'arc M; Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Ribeiro-Alves M; Instituto Nacional de Infectologia Evandro Chagas, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
  • Robertson DL; MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK.
  • Schwartz JM; Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.
  • Soares MA; Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-902, Brazil.
  • Porto F; Programa de Oncovirologia, Divisão de Pesquisa Translacional, Instituto Nacional do Câncer, Rio de Janeiro, 20230-130, Brazil.
BMC Bioinformatics ; 25(1): 125, 2024 Mar 22.
Article in En | MEDLINE | ID: mdl-38519883
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.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Simian Acquired Immunodeficiency Syndrome / Simian Immunodeficiency Virus Limits: Animals / Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Brazil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Simian Acquired Immunodeficiency Syndrome / Simian Immunodeficiency Virus Limits: Animals / Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Brazil