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Record W3021867103 · doi:10.1016/j.cytogfr.2020.03.001

Interferon, restriction factors and SUMO pathways

2020· review· en· W3021867103 on OpenAlexaff
Faten El-Asmi, Francis P. McManus, Pierre Thibault, Mounira K. Chelbi‐Alix

Bibliographic record

VenueCytokine & Growth Factor Reviews · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversité du Québec à MontréalInstitute for Research in Immunology and CancerUniversité de Montréal
FundersAgence Nationale de la RechercheStyrelsen för Internationellt Utvecklingssamarbete
KeywordsSUMO proteinUbiquitin ligaseBiologyCrosstalkUbiquitinInterferonCell biologySUMO enzymesSignal transductionCullinGeneticsGene

Abstract

fetched live from OpenAlex

SUMOylation is a reversible post-translational modification that regulates several cellular processes including protein stability, subcellular localization, protein-protein interactions and plays a key role in the interferon (IFN) pathway and antiviral defense. In human, three ubiquitously expressed SUMO paralogs (SUMO1, 2 and 3) have been described for their implication in both intrinsic and innate immunity. Differential effects between SUMO paralogs are emerging such as their distinctive regulations of IFN synthesis, of IFN signaling and of the expression and function of IFN-stimulated gene (ISG) products. Several restriction factors are conjugated to SUMO and their modifications are further enhanced in response to IFN. Also, IFN itself was shown to increase global cellular SUMOylation and requires the presence of the E3 SUMO ligase PML that coordinates the assembly of PML nuclear bodies. This review focuses on differential effects of SUMO paralogs on IFN signaling and the stabilization/destabilization of ISG products, highlighting the crosstalk between SUMOylation and other post-translational modifications such as ubiquitination and ISGylation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.077
GPT teacher head0.307
Teacher spread0.229 · 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 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

Citations26
Published2020
Admission routes1
Has abstractyes

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