MétaCan
Menu
← Back to cohort
Record W2800633908 · doi:10.1101/320341

HIV-1 antisense protein of different clades induces autophagy and associates to the autophagy factor p62

2018· preprint· en· W2800633908 on OpenAlexaff
Zhenlong Liu, Cynthia Torresilla, Yong Xiao, Clément Caté, Karina Barbosa, Éric Rassart, Shan Cen, Benoı̂t Barbeau

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2018
Typepreprint
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAutophagyATG5ImmunoprecipitationAutophagosomeCell biologyWestern blotBiologyFlow cytometryMolecular biologyATG8GeneChemistryGeneticsApoptosis

Abstract

fetched live from OpenAlex

Abstract Over recent years, strong support argues for the existence of an HIV-1 protein encoded by antisense transcripts and termed Antisense Protein (ASP). Furthermore, a recent in silico analysis has provided evidence for its recent appearance in the genome of HIV-1. We have previously detected ASP in various mammalian cell lines by Western blot (WB), flow cytometry and confocal microscopy analyses and reported that it induced autophagy, potentially through multimer formation. The aim of the current study was to examine autophagy induction by testing ASP from different clades, and to identify the implicated autophagy factors. We firstly confirmed that NL4.3-derived ASP was interacting with itself and that multimer formation was dependent on its amino region. Removal of this region was associated with reduced level of induced autophagy, as assessed by autophagosome formation but deletion of the most amino cysteine triplet did not totally abrogate multimer and autophagosome formation. Expression vectors of ASP from different clades were next tested and led to detection of monomers and varying levels of multimers with concomitant induced autophagy, as determined by increased LC3-II and decreased p62 (SQSTM1) levels. Through confocal microscopy, ASP was noted to co-localize with p62 and LC3-II in autophagosome-like cellular structures. CRISPR-based knock-out of ATG5, ATG7 and p62 genes led to increased stability in the levels of ASP. Furthermore, co-immunoprecipitation experiments demonstrated the interaction between p62 and ASP, which was dependent on the PB1 domain of p62. Interestingly, immunoprecipitation experiments further supported that ASP is ubiquitinated and that ubiquitination was also responsible for the modulation of its stability. We are thus suggesting that ASP induces autophagy through p62 interaction and that its abundance is controlled by autophagy- and Ubiquitin/Proteasome System (UPS)-mediated degradation in which ubiquitin is playing an important role. Understanding the mechanisms underlying the degradation of ASP is essential to better assess its function. Author Summary In the present study, we provide the first evidence that a new HIV-1 protein termed ASP when derived from different clades act similarly in inducing autophagy, an important cellular process implicated in the degradation of excess or defective material. We have gained further knowledge on the mechanism mediate the activation of autophagy and have identified an important interacting partner. Our studies have important ramification in the understanding of viral replication and the pathogenesis associated with HIV-1 in infected individuals. Indeed, autophagy is implicated in antigen presentation during immune response and could thus be rendered inefficient in infected cells, such as dendritic cells. Furthermore, a possible link with HIV-1-associated Neurological Disorder (HAND) might also be a possible association with the capacity of ASP to induce autophagy. Our studies are thus important and demonstrate the importance in conducting further studies on this protein, as it could represent a new interesting target for antiretroviral therapies and vaccine design.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicAutophagy in Disease and Therapy→French-language works237,207→