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Record W4293210987 · doi:10.1002/1873-3468.14476

<scp>ISGylation</scp> directly modifies hypoxia‐inducible factor‐2α and enhances its polysome association

2022· article· en· W4293210987 on OpenAlexafffund
Gaelan Melanson, Antonia C. Du Bois, Caroline Webster, James Uniacke

Bibliographic record

VenueFEBS Letters · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsISG15PolysomeCell biologyTranscription factorRegulatorHypoxia-inducible factorsBiologyInterferonUbiquitinTranscriptional regulationMessenger RNATranslation (biology)Hypoxia (environmental)Regulation of gene expressionChemistryGeneRibosomeRNAImmunologyBiochemistry

Abstract

fetched live from OpenAlex

The hypoxia-inducible factors (HIF)-1α and HIF-2α are central regulators of transcriptional programmes in settings such as development and tumour expansion. HIF-2α moonlights as a cap-dependent translation factor. We provide new insights into how the interferon-stimulated gene 15 (ISG15), a ubiquitin-like modifier, and the HIFs regulate one another in hypoxia and interferon-induced cells. We show that upon ISGylation induction and HIF-α stabilization, both HIFs promote protein ISGylates through transcriptional and/or post-transcriptional pathways. We show the first evidence of HIF-2α modification by ISG15. ISGylation induces system-level alterations to the HIF transcriptional programme and increases the cytoplasmic/nuclear fraction and translation activity of HIF-2α. This work identifies ISG15 as a regulator of hypoxic mRNA translation, which has implications for immune processes and disease progression.

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 score0.227
Threshold uncertainty score0.714

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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