MétaCan
Menu
Back to cohort
Record W2060105093 · doi:10.2174/1389202033490402

Trafficking of HIV-1 RNA: Recent Progress Involving Host Cell RNABinding Proteins

2003· article· en· W2060105093 on OpenAlexaff
Andrew J. Mouland, Éric A. Cohen, Luc DesGroseillers

Bibliographic record

VenueCurrent Genomics · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsRNABiologyRNA splicingEctopic expressionRNA-binding proteinCell biologyGene expressionComputational biologyGeneGenetics

Abstract

fetched live from OpenAlex

RNA trafficking within the cell represents an important component of gene expression in a variety of organisms. This process directs RNA to select regions of the cell and has functional consequences to cell physiology and function. Intranuclear RNA trafficking can also influence RNA maturation including 5- and 3-end-processing, splicing and nuclear export. Within the cytosol, RNA trafficking influences the localization and levels of gene expression of the protein product to prevent ectopic expression, for example. For most cellular RNAs this process usually depends on an accurate and precisely timed sequence of events where each step depends on that which precedes it, usually initiated by the specific binding of trans-acting proteins to cognate RNA cis sequences to dictate their fate. This is also true for retroviral RNAs (see below). Human immunodeficiency virus type 1 (HIV-1) is a major affliction of the 21st century and it is estimated that more than 45 million people worldwide are infected. Although no cure is available, regimented antiviral drug therapy has become the golden standard for care. Accompanied with lifestyle changes both can not only bring virus to near undetectable levels but can also dramatically increase the lifespan and maintain a quality of life for a person living with the virus. As an intracellular parasite HIV-1 uses host cell proteins and machinery in most -if not all- of its replication steps including viral entry, integration, transcription and viral assembly. The understanding of their involvement in these steps will contribute in the treatment and perhaps the eventual eradication of HIV-1 infection. For this -the next generation of HIV-1 therapeutics- we will require a profound understanding of the biological role of these factors and, specifically, how they interact with the virus. This information will eventually lead to the development of specific inhibitors, which will likely be used in combination with existing retroviral therapeutic approaches. This review serves to update the reader on particular aspects of nucleocytoplasmic trafficking of HIV-1 RNAs involving HIV-1 Rev, Gag and associated host cell co-factors. It will update the reader on the current body of knowledge on host and viral proteins and mechanisms involved in the movement of HIV-1 RNAs out of the nucleus, within the cytosol and eventually to the sites of viral assembly. The novelty will be in its examination of the recent developments that implicate cellular RNA-binding proteins involved in HIV-1 RNA localization and cytosolic RNA trafficking. It is expected that host cell proteins and viral proteins will ultimately prove to be critical for these late steps of the viral lifecycle. Keywords: hiv-1 rna, rna-binding protein, hiv trafficking, rna trafficking, hiv-1 rev

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.276
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueCurrent GenomicsSame topicHIV Research and TreatmentFrench-language works237,207