HIV-1 Infection Transcriptomics: Meta-Analysis of CD4+ T Cells Gene Expression Profiles

Viruses

PaolaMaura Tricarico¹  Rossella Gratton¹  Sergio Crovella²  JoséLeandro Andrade-Santos³  RafaelLima Guimarães³  AntonioVictor Campos Coelho⁴  JoãoPaulo Britto de Melo⁴  LucasAndré Cavalcanti Brandão⁴ 

[1] Department of Advanced Translational Microbiology, Institute for Maternal and Child Health IRCCS Burlo Garofolo, Via dell’Istria 65/1, 34137 Trieste, Italy;Department of Biological and Environmental Sciences, College of Arts and Sciences, University of Qatar, Doha P.O. Box 2713, Qatar;Department of Genetics-Federal, University of Pernambuco (UFPE), Av. Prof. Moraes Rego, 1235 Cidade Universitária, Recife 50670-901, Brazil;Department of Pathology, Federal University of Pernambuco (UFPE), Av. Prof. Moraes Rego, 1235 Cidade Universitária, Recife 50670-901, Brazil;

关键词: infection;    latency;    transcriptomics;    genomics;    gene ontology;    pathway analysis;   

DOI  :  10.3390/v13020244

来源: DOAJ

【 摘 要 】

HIV-1 infection elicits a complex dynamic of the expression various host genes. High throughput sequencing added an expressive amount of information regarding HIV-1 infections and pathogenesis. RNA sequencing (RNA-Seq) is currently the tool of choice to investigate gene expression in a several range of experimental setting. This study aims at performing a meta-analysis of RNA-Seq expression profiles in samples of HIV-1 infected CD4+ T cells compared to uninfected cells to assess consistently differentially expressed genes in the context of HIV-1 infection. We selected two studies (22 samples: 15 experimentally infected and 7 mock-infected). We found 208 differentially expressed genes in infected cells when compared to uninfected/mock-infected cells. This result had moderate overlap when compared to previous studies of HIV-1 infection transcriptomics, but we identified 64 genes already known to interact with HIV-1 according to the HIV-1 Human Interaction Database. A gene ontology (GO) analysis revealed enrichment of several pathways involved in immune response, cell adhesion, cell migration, inflammation, apoptosis, Wnt, Notch and ERK/MAPK signaling.

【 授权许可】

Unknown