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Record W7042663638

The PKR/PACT response pathway is altered during HIV-1 infection

2015· dissertation· en· W7042663638 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchAgence Nationale de Recherches sur le Sida et les Hépatites ViralesMcGill UniversityStyrelsen för Internationellt Utvecklingssamarbete
KeywordsProtein kinase REIF-2 kinaseInterferonRNAActivator (genetics)Protein kinase AAntiviral proteinInnate immune system
DOInot available

Abstract

fetched live from OpenAlex

The interferon response pathway is an important antiviral mechanism. Protein Kinase RNA-activated (PKR) is an Interferon-Stimulated Gene (ISG) activated by double-stranded RNA (dsRNA), such as the TAR RNA structure from HIV. PKR is one of the most studied ISGs and an efficient HIV suppressor. PKR phosphorylates the translation initiation factor eIF2a, resulting in the inhibition of cellular and viral protein synthesis and a block in viral replication. During HIV infection, our lab has shown that PKR is activated at the beginning of infection in Jurkat cells followed by a deactivation when the virus replicates. This is in part attributed to the inhibition of PKR by dsRNA-binding proteins (dsRBP) such as the TAR RNA binding protein (TRBP) and Adenosine deaminase acting on RNA (ADAR1). In addition, we recently found that another dsRBP and a PKR activator, PACT, becomes a PKR inhibitor in HIV-infected cells. Our central hypothesis in the laboratory is that the regulation of PKR activation by dsRNA-binding proteins is critical for HIV to evade the innate immune response. Our objectives for this project were to answer these questions: 1) What is the activation status of PKR in HIV-infected Peripheral Blood Mononuclear Cells (PBMCs)? and 2) What changes PACT from a PKR activator to a PKR inhibitor during HIV infection?1) PKR activation status in HIV-infected PBMCs: We observed a PKR induction and activation at the beginning of infection, followed by a deactivation when HIV replication increased. When IFN a/b was added to HIV-infected PBMCs, PKR activation was restored. This suggests that cells are able to activate PKR but this activation is blocked during HIV infection. Furthermore, PKR activation was moderately increased in HIV-infected untreated patients compared to HIV-infected successfully treated patients. This further increases the importance of PKR during HIV-1 infection 2) Mechanism that alters PACT's function in HIV-infected cells: In contrast to its previously described function, when PACT was overexpressed in HIV-transfected HEK293T cells, PKR activation was inhibited and HIV expression was increased. We found that PACT-mediated increase in HIV-1 expression and production required the presence of PKR. Furthermore, PACT overexpression led to its incorporation in HIV-1 virions and altered Gag processing and HIV Env protein expression. In addition, we tested HIV-1 infectivity in TZM-bl cells and observed a decrease of infectivity in HIV-1 virions produced from PACT and HIV-1 transfected HEK293T cells. In a proteomic screen, we found that HIV-1 expression led to a complete change of PACT interactome when compared to PACT- interacting partners in mock transfected HEK293T cells. In conclusion, the PKR/PACT response pathway is targeted during HIV-1 infection. PKR activation is not sustained and is inhibited by PACT, a PKR activator that switches its function to a PKR inhibitor during HIV-1 infection. In addition, HIV-1 induces a complete change in PACT interactome which might explain PACT's change of function. Understanding PKR regulation by HIV could aid in understanding viral persistence.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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 teacher head, not a consensus.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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