R5 and X4 HIV Viruses Differentially Modulate Host Gene Expression in Resting CD4+T Cells

2008 ◽  
Vol 24 (3) ◽  
pp. 485-493 ◽  
Author(s):  
Mélissa Sirois ◽  
Lynda Robitaille ◽  
Roman Sasik ◽  
Jérôme Estaquier ◽  
Jessyka Fortin ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Cd4 T Cells ◽  
Host Gene ◽  
Host Gene Expression

scholarly journals Analysis of Host Gene Expression Profile in HIV-1 and HIV-2 Infected T-Cells

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0147421 ◽  
Author(s):  
Krishnakumar Devadas ◽  
Santanu Biswas ◽  
Mohan Haleyurgirisetty ◽  
Owen Wood ◽  
Viswanath Ragupathy ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Host Gene ◽  
Host Gene Expression ◽  
Hiv 1

scholarly journals Publisher Correction: Exogenously overexpressed intronic long noncoding RNAs activate host gene expression by affecting histone modification in Arabidopsis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zhang-Wei Liu ◽  
Nan Zhao ◽  
Yin-Na Su ◽  
Shan-Shan Chen ◽  
Xin-Jian He
Keyword(s):  
Gene Expression ◽  
Histone Modification ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Host Gene ◽  
Host Gene Expression

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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

Viruses ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 244 ◽  
Author(s):  
Antonio Victor Campos Coelho ◽  
Rossella Gratton ◽  
João Paulo Britto de Melo ◽  
José Leandro Andrade-Santos ◽  
Rafael Lima Guimarães ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Differentially Expressed Genes ◽  
Cd4 T Cells ◽  
Expression Profiles ◽  
Meta Analysis ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Infected Cells ◽  
Hiv 1

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.

Regulation of host gene expression during nodule development in soybeans

1990 ◽  
pp. 701-708 ◽  
Author(s):  
C. Sengupta-Gopalan ◽  
E. Estabrook ◽  
H. Gambliel ◽  
W. Nirunsuksiri ◽  
H. Richter
Keyword(s):  
Gene Expression ◽  
Host Gene ◽  
Nodule Development ◽  
Host Gene Expression
Sign in / Sign up

Export Citation Format

Share Document