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Record W1605127200 · doi:10.1111/cmi.12272

Phosphorylation and membrane association of the Rubella virus capsid protein is important for its anti-apoptotic function

2014· article· en· W1605127200 on OpenAlexafffund
Steven Willows, Carolina S. Ilkow, Tom C. Hobman

Bibliographic record

VenueCellular Microbiology · 2014
Typearticle
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsUniversity of Alberta
FundersCanada Research ChairsCanadian Institutes of Health ResearchAlberta Innovates - Health Solutions
KeywordsCapsidBiologyApoptosisPhosphorylationCell biologyRubella virusProgrammed cell deathVirologyTogaviridaeVirusMolecular biologyRubellaBiochemistry

Abstract

fetched live from OpenAlex

Rubella virus (RV), a member of Togaviridae, is an important human pathogen that can cause severe defects in the developing fetus. Compared to other togaviruses, RV replicates very slowly suggesting that it must employ effective mechanisms to delay the innate immune response. A recent study by our laboratory revealed that the capsid protein of RV is a potent inhibitor of apoptosis. A primary mechanism by which RV capsid interferes with programmed cell death appears to be through interaction with the pro-apoptotic Bcl-2 family member Bax. In the present study, we report that the capsid protein also blocks IRF3-dependent apoptosis induced by the double-strand RNA mimic polyinosinic-polycytidylic acid. In addition, analyses of cis-acting elements revealed that phosphorylation and membrane association are important for its anti-apoptotic function. Finally, the observation that hypo-phosphorylated capsid binds Bax just as well as wild-type capsid protein suggests that interaction with this pro-apoptotic host protein in and of itself is not sufficient to block programmed cell death. This provides additional evidence that this viral protein inhibits apoptosis through multiple mechanisms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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.

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

Citations11
Published2014
Admission routes2
Has abstractyes

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