ArticleAIDS research and human retroviruses2014
Comparison of transcriptional profiles between CD4+ and CD8+ T cells in HIV type 1-infected patients.
Article in AIDS research and human retroviruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Immunoinformatics Approach to Design a Multi-Epitope Vaccine against Cutaneous Leishmaniasis.Vaccines · 2023Article
- Landscape of T Cells Transcriptional and Metabolic Modules During HIV Infection Based on Weighted Gene Co-expression Network Analysis.Frontiers in genetics · 2021Article
- Gene Expression: the Key to Understanding HIV-1 Infection?Microbiology and molecular biology reviews : MMBR · 2020Review
- Network-Based Analysis of OMICs Data to Understand the HIV-Host Interaction.Frontiers in microbiology · 2020Review
- Crosstalk in competing endogenous RNA networks reveals new circular RNAs involved in the pathogenesis of early HIV infection.Journal of translational medicine · 2018Article
- On the relationships in rhesus macaques between chronic ethanol consumption and the brain transcriptome.Addiction biology · 2018Article
- Immunoinformatics Features Linked to Leishmania Vaccine Development: Data Integration of Experimental and In Silico Studies.International journal of molecular sciences · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The CD4+/CD8+ T cell ratio is altered when HIV-1 infects the human immune system. However, the exact mechanisms of how CD4+ and CD8+T cells participate in HIV infection are still unknown. This study used bioinformatics methods to compare the transcriptional profiles between CD4+ and CD8+ T cells in HIV-1-infected patients in order to explore the potential molecular mechanisms of CD4+ and CD8+ T cells in HIV-1 infection. We found that expression patterns of differentially expressed genes (DEG) in CD4+T cells were dramatically different from those in CD8+ T cells. We also constructed protein-protein interaction (PPI) networks to extract functional modules at each stage, and found that some of the important genes such as BRCA1 were central hubs of the modules. Finally, we applied functional annotation to the modules and found that CD4+/CD8+ T cells played critical roles in regulating the cell cycle and other cellular pathways. Thus, this study would greatly further our understanding of the roles of T cells in HIV infection, and provide potential clues for developing AIDS vaccines in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.