Suppr超能文献

GuavaH:HIV 生物学和疾病宿主基因组数据纲要。

GuavaH: a compendium of host genomic data in HIV biology and disease.

机构信息

Institute of Microbiology, University Hospital Lausanne, Lausanne, Switzerland.

出版信息

Retrovirology. 2014 Jan 15;11:6. doi: 10.1186/1742-4690-11-6.

Abstract

BACKGROUND

There is an ever-increasing volume of data on host genes that are modulated during HIV infection, influence disease susceptibility or carry genetic variants that impact HIV infection. We created GuavaH (Genomic Utility for Association and Viral Analyses in HIV, http://www.GuavaH.org), a public resource that supports multipurpose analysis of genome-wide genetic variation and gene expression profile across multiple phenotypes relevant to HIV biology.

FINDINGS

We included original data from 8 genome and transcriptome studies addressing viral and host responses in and ex vivo. These studies cover phenotypes such as HIV acquisition, plasma viral load, disease progression, viral replication cycle, latency and viral-host genome interaction. This represents genome-wide association data from more than 4,000 individuals, exome sequencing data from 392 individuals, in vivo transcriptome microarray data from 127 patients/conditions, and 60 sets of RNA-seq data. Additionally, GuavaH allows visualization of protein variation in ~8,000 individuals from the general population. The publicly available GuavaH framework supports queries on (i) unique single nucleotide polymorphism across different HIV related phenotypes, (ii) gene structure and variation, (iii) in vivo gene expression in the setting of human infection (CD4+ T cells), and (iv) in vitro gene expression data in models of permissive infection, latency and reactivation.

CONCLUSIONS

The complexity of the analysis of host genetic influences on HIV biology and pathogenesis calls for comprehensive motors of research on curated data. The tool developed here allows queries and supports validation of the rapidly growing body of host genomic information pertinent to HIV research.

摘要

背景

在 HIV 感染过程中,有越来越多的宿主基因被调控,这些基因影响疾病易感性或携带影响 HIV 感染的遗传变异。我们创建了 GuavaH(用于 HIV 关联和病毒分析的基因组实用程序,http://www.GuavaH.org),这是一个公共资源,支持针对与 HIV 生物学相关的多种表型的全基因组遗传变异和基因表达谱进行多用途分析。

发现

我们纳入了 8 项基因组和转录组研究的原始数据,这些研究涉及体内和体外的病毒和宿主反应。这些研究涵盖了 HIV 获得、血浆病毒载量、疾病进展、病毒复制周期、潜伏期和病毒-宿主基因组相互作用等表型。这代表了来自 4000 多名个体的全基因组关联数据、392 名个体的外显子组测序数据、127 名患者/条件的体内转录组微阵列数据和 60 组 RNA-seq 数据。此外,GuavaH 允许可视化来自一般人群的约 8000 个人的蛋白质变异。公开可用的 GuavaH 框架支持对(i)不同 HIV 相关表型的独特单核苷酸多态性、(ii)基因结构和变异、(iii)人类感染情况下的体内基因表达(CD4+T 细胞)以及(iv)允许感染、潜伏和再激活的模型中的体外基因表达数据进行查询。

结论

分析宿主遗传对 HIV 生物学和发病机制的影响的复杂性要求对经过精心整理的数据进行全面的研究。这里开发的工具允许查询,并支持对与 HIV 研究相关的宿主基因组信息的快速增长体进行验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748d/3937115/ce2af6bb476e/1742-4690-11-6-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验