TY - JOUR
T1 - Transcriptomic Assay of CD8+ T Cells in Treatment-Naïve HIV, HCV-Mono-Infected and HIV/HCV-Co-Infected Chinese
AU - Zhao, Jin
AU - Yi, Lina
AU - Lu, Jing
AU - Yang, Zheng-Rong
AU - Chen, Ying
AU - Zheng, Chenli
AU - Huang, Dan
AU - Li, Yu-Feng
AU - Chen, Lin
AU - Cheng, Jinquan
AU - Kung, Hsiang-fu
AU - He, Ming-Liang
PY - 2012/9/13
Y1 - 2012/9/13
N2 - Background: Co-infection with HIV and HCV is very common. It is estimated that over 5 million people are co-infected with HIV and HCV worldwide. Accumulated evidence shows that each virus alters the course of infection of the other one. CD8+ T cells play a crucial role in the eradication of viruses and infected target cells. To the best of our knowledge, no one has investigated the gene expression profiles in HIV/HCV-co-infected individuals. Methodology: Genome-wide transcriptomes of CD8+ T cells from HIV/HCV-co-infected or mono-infected treatment-naïve individuals were analyzed by microarray assays. Pairwise comparisons were performed and differentially expressed genes were identified followed by quantitative real-time PCR (qRT-PCR) validation. Directed Acyclic Graphs (DAG) from Web-based Gene SeT AnaLysis Toolkit (WebGestalt) and DAVID bioinformatics resources 6.7 (the Database for Annotation, Visualization, and Integrated Discovery) were used to discover the Gene Ontology (GO) categories with significantly enriched gene numbers. The enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were also obtained by using WebGestalt software. Results and Conclusions: A total of 110, 24 and 72 transcript IDs were shown to be differentially expressed (> 2-fold and p
AB - Background: Co-infection with HIV and HCV is very common. It is estimated that over 5 million people are co-infected with HIV and HCV worldwide. Accumulated evidence shows that each virus alters the course of infection of the other one. CD8+ T cells play a crucial role in the eradication of viruses and infected target cells. To the best of our knowledge, no one has investigated the gene expression profiles in HIV/HCV-co-infected individuals. Methodology: Genome-wide transcriptomes of CD8+ T cells from HIV/HCV-co-infected or mono-infected treatment-naïve individuals were analyzed by microarray assays. Pairwise comparisons were performed and differentially expressed genes were identified followed by quantitative real-time PCR (qRT-PCR) validation. Directed Acyclic Graphs (DAG) from Web-based Gene SeT AnaLysis Toolkit (WebGestalt) and DAVID bioinformatics resources 6.7 (the Database for Annotation, Visualization, and Integrated Discovery) were used to discover the Gene Ontology (GO) categories with significantly enriched gene numbers. The enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were also obtained by using WebGestalt software. Results and Conclusions: A total of 110, 24 and 72 transcript IDs were shown to be differentially expressed (> 2-fold and p
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U2 - 10.1371/journal.pone.0045200
DO - 10.1371/journal.pone.0045200
M3 - RGC 21 - Publication in refereed journal
C2 - 23028845
SN - 1932-6203
VL - 7
JO - PLOS ONE
JF - PLOS ONE
IS - 9
M1 - e45200
ER -