| Author | Costa, Raquel L. | |
| Author | Gadelha, Luiz | |
| Author | D’arc, Mirela | |
| Author | Ribeiro‑Alves, Marcelo | |
| Author | Robertson, David L. | |
| Author | Schwartz, Jean‑Marc | |
| Author | Soares, Marcelo A. | |
| Author | Porto, Fábio | |
| Access date | 2024-06-11T23:59:07Z | |
| Available date | 2024-06-11T23:59:07Z | |
| Document date | 2024 | |
| Citation | COSTA, Raquel L. et al. HIHISIV: a database of gene expression in HIV and SIV host immune response. BMC Bioinformatics, v. 25, n. 1, p. 1-12, Mar. 2024. | en_US |
| ISSN | 1471-2105 | en_US |
| URI | https://www.arca.fiocruz.br/handle/icict/64445 | |
| Sponsorship | Open Access funding enabled and organized by Projekt DEAL. This work has been supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), CNPq (Conselho Nacional de Desenvolvimento Científco e Tecnológico) and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of GHGA – The German Human Genome-Phenome Archive (www.ghga.de, Grant Number 441914366 (NFDI 1/1)). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | en_US |
| Language | eng | en_US |
| Publisher | BioMed Central | en_US |
| Rights | open access | en_US |
| Title | HIHISIV: a database of gene expression in HIV and SIV host immune response | en_US |
| Type | Article | en_US |
| DOI | 10.1186/s12859-024-05740-7 | |
| 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. | en_US |
| Affilliation | DEXL Lab. National Laboratory for Scientific Computing. Petrópolis, RJ, Brazil. | en_US |
| Affilliation | German Human Genome-Phenome Archive. German Cancer Research Center. Heidelberg, Germany. | en_US |
| Affilliation | Universidade Federal do Rio de Janeiro. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST e AIDS. Rio de Janeiro, Brasil. | en_US |
| Affilliation | MRC-University of Glasgow Centre for Virus Research. Glasgow, UK. | en_US |
| Affilliation | University of Manchester. Faculty of Biology, Medicine and Health. School of Biological Sciences. Division of Evolution, Infection and Genomic Sciences. Manchester, UK. | en_US |
| Affilliation | Universidade Federal do Rio de Janeiro. Instituto de Biologia. Departamento de Genética. Rio de Janeiro, RJ, Brasil / Instituto Nacional do Câncer. Divisão de Pesquisa Translacional. Programa de Oncovirologia. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | DEXL Lab. National Laboratory for Scientific Computing. Petrópolis, RJ, Brazil. | en_US |
| Subject | HIV-1 | en_US |
| Subject | SIV | en_US |
| Subject | Immune response | en_US |
| Subject | High-throughput gene expression data | en_US |
| e-ISSN | 1471-2105 | |
