DEXL Lab, National Laboratory for Scientific Computing, Petrópolis, Brazil.
German Human Genome-Phenome Archive (GHGA, W620), German Cancer Research Center (DKFZ), Heidelberg, Germany.
BMC Bioinformatics. 2024 Mar 22;25(1):125. doi: 10.1186/s12859-024-05740-7.
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.
在宿主对抗慢病毒发病机制的斗争中,免疫反应至关重要。然而,关于与不同病毒的相互作用及其对疾病进展的影响,仍有几个问题尚未得到解答。感染非人类灵长类动物(NHP)的猿猴免疫缺陷病毒(SIV)被广泛用作研究人类免疫缺陷病毒(HIV)的模型,这既是因为它们在进化上是相关的,也是因为它们在很大程度上具有相似的生理和解剖结构,这有助于理解疾病的进展。HIHISIV 数据库的开发是为了支持研究人员整合和评估与病原体(SIV 或 HIV)的存在/不存在以及宿主反应(NHP 和人类)相关的大量转录数据。这些数据集由微阵列和 RNA-Seq 基因表达数据组成,这些数据经过选择、整理、分析、富集,并存储在关系数据库中。六个查询模板构成了主要的数据分析功能,并且可以下载生成的信息。HIHISIV 数据库可在 https://hihisiv.github.io 上获取,为浏览和可视化结果以及对转录组存储库中现有数据进行更稳健的分析提供了准确的资源。