ArticleVirology2014
Alterations in the nuclear proteome of HIV-1 infected T-cells.
Article in Virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 17 citations in OpenAlex.
- Distinct gene expression by expanded clones of quiescent memory CD4Cell reports · 2022Article
- DEAD-ly Affairs: The Roles of DEAD-Box Proteins on HIV-1 Viral RNA Metabolism.Frontiers in cell and developmental biology · 2022Review
- Article
- Article
- Comprehensive nuclear proteome of Arabidopsis obtained by sequential extraction.Nucleus (Austin, Tex.) · 2019Article
- Article
- Elucidating the in vivo interactome of HIV-1 RNA by hybridization capture and mass spectrometry.Scientific reports · 2017Article
- Recent 5-year Findings and Technological Advances in the Proteomic Study of HIV-associated Disorders.Genomics, proteomics & bioinformatics · 2017Review
- Article
- Cyclophilin B enhances HIV-1 infection.Virology · 2016Article
- Investigation of the HIV-1 matrix interactome during virus replication.Proteomics. Clinical applications · 2016Article
- Bioinformatics and HIV latency.Current HIV/AIDS reports · 2015Review
- Proteomics in the investigation of HIV-1 interactions with host proteins.Proteomics. Clinical applications · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Virus infection of a cell involves the appropriation of host factors and the innate defensive response of the cell. The identification of proteins critical for virus replication may lead to the development of novel, cell-based inhibitors. In this study we mapped the changes in T-cell nuclei during human immunodeficiency virus type 1 (HIV-1) at 20 hpi. Using a stringent data threshold, a total of 13 and 38 unique proteins were identified in infected and uninfected cells, respectively, across all biological replicates. An additional 15 proteins were found to be differentially regulated between infected and control nuclei. STRING analysis identified four clusters of protein-protein interactions in the data set related to nuclear architecture, RNA regulation, cell division, and cell homeostasis. Immunoblot analysis confirmed the differential expression of several proteins in both C8166-45 and Jurkat E6-1 T-cells. These data provide a map of the response in host cell nuclei upon HIV-1 infection.
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.