Institute of Microbiology, University Hospital and University of Lausanne, Lausanne, Switzerland.
PLoS Pathog. 2010 Feb 26;6(2):e1000781. doi: 10.1371/journal.ppat.1000781.
There is great interindividual variability in HIV-1 viral setpoint after seroconversion, some of which is known to be due to genetic differences among infected individuals. Here, our focus is on determining, genome-wide, the contribution of variable gene expression to viral control, and to relate it to genomic DNA polymorphism. RNA was extracted from purified CD4+ T-cells from 137 HIV-1 seroconverters, 16 elite controllers, and 3 healthy blood donors. Expression levels of more than 48,000 mRNA transcripts were assessed by the Human-6 v3 Expression BeadChips (Illumina). Genome-wide SNP data was generated from genomic DNA using the HumanHap550 Genotyping BeadChip (Illumina). We observed two distinct profiles with 260 genes differentially expressed depending on HIV-1 viral load. There was significant upregulation of expression of interferon stimulated genes with increasing viral load, including genes of the intrinsic antiretroviral defense. Upon successful antiretroviral treatment, the transcriptome profile of previously viremic individuals reverted to a pattern comparable to that of elite controllers and of uninfected individuals. Genome-wide evaluation of cis-acting SNPs identified genetic variants modulating expression of 190 genes. Those were compared to the genes whose expression was found associated with viral load: expression of one interferon stimulated gene, OAS1, was found to be regulated by a SNP (rs3177979, p = 4.9E-12); however, we could not detect an independent association of the SNP with viral setpoint. Thus, this study represents an attempt to integrate genome-wide SNP signals with genome-wide expression profiles in the search for biological correlates of HIV-1 control. It underscores the paradox of the association between increasing levels of viral load and greater expression of antiviral defense pathways. It also shows that elite controllers do not have a fully distinctive mRNA expression pattern in CD4+ T cells. Overall, changes in global RNA expression reflect responses to viral replication rather than a mechanism that might explain viral control.
在血清转换后,HIV-1 病毒设定点存在很大的个体间变异性,其中一些已知是由于感染个体之间的遗传差异造成的。在这里,我们的重点是确定全基因组范围内可变基因表达对病毒控制的贡献,并将其与基因组 DNA 多态性联系起来。从 137 名 HIV-1 血清转换者、16 名精英控制者和 3 名健康献血者中纯化的 CD4+T 细胞中提取 RNA。通过人类-6 v3 表达 BeadChips(Illumina)评估超过 48000 个 mRNA 转录本的表达水平。使用 HumanHap550 Genotyping BeadChip(Illumina)从基因组 DNA 生成全基因组 SNP 数据。我们观察到两种不同的模式,有 260 个基因根据 HIV-1 病毒载量的不同而表达。随着病毒载量的增加,干扰素刺激基因的表达显著上调,包括内在抗病毒防御基因。在成功接受抗逆转录病毒治疗后,以前病毒血症个体的转录组谱恢复到与精英控制者和未感染者相当的模式。对顺式作用 SNP 的全基因组评估鉴定出了调节 190 个基因表达的遗传变异。将这些与与病毒载量相关的基因表达进行比较:一个干扰素刺激基因 OAS1 的表达被发现受到 SNP(rs3177979,p=4.9E-12)的调节;然而,我们没有检测到 SNP 与病毒设定点的独立关联。因此,本研究代表了一种尝试,即将全基因组 SNP 信号与全基因组表达谱整合在一起,以寻找 HIV-1 控制的生物学相关性。它强调了病毒载量增加与抗病毒防御途径表达增加之间的矛盾。它还表明,精英控制者在 CD4+T 细胞中没有完全独特的 mRNA 表达模式。总体而言,全球 RNA 表达的变化反映了对病毒复制的反应,而不是解释病毒控制的机制。