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Record W1993487480 · doi:10.1073/pnas.0810067106

Integrative analysis of HIF binding and transactivation reveals its role in maintaining histone methylation homeostasis

2009· article· en· W1993487480 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsPediatric Oncology Group
FundersNational Human Genome Research InstituteNational Institutes of HealthSidney Kimmel FoundationDana-Farber Cancer Institute
KeywordsTransactivationEpigeneticsHistoneBiologyHypoxia-inducible factorsCellular adaptationRegulation of gene expressionCell biologyHypoxia (environmental)MethylationGene expressionTranscription factorGeneticsGeneChemistryOxygen

Abstract

fetched live from OpenAlex

Adaptation to hypoxia is mediated through a coordinated transcriptional response driven largely by hypoxia-inducible factor 1 (HIF-1). We used ChIP-chip and gene expression profiling to identify direct targets of HIF-1 transactivation on a genome-wide scale. Several hundred direct HIF-1 targets were identified and, as expected, were highly enriched for proteins that facilitate metabolic adaptation to hypoxia. Surprisingly, there was also striking enrichment for the family of 2-oxoglutarate dioxygenases, including the jumonji-domain histone demethylases. We demonstrate that these histone demethylases are direct HIF targets, and their up-regulation helps maintain epigenetic homeostasis under hypoxic conditions. These results suggest that the coordinated increase in expression of several oxygen-dependent enzymes by HIF may help compensate for decreased levels of oxygen under conditions of cellular hypoxia.

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.

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)0.000
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 score0.150
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.315
Teacher spread0.293 · 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