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Induction of hypoxia inducible factor 2α (HIF‐2α) may be dependent on mitochondrial O <sub>2</sub> consumption in an immortalized adrenomedullary chromaffin cell line

2007· article· en· W2827228 on OpenAlexafffundabout
Stephen T. Brown, Josef Buttigieg, Colin A. Nurse

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsMcMaster University
FundersHeart and Stroke Foundation of Canada
KeywordsRotenoneMitochondrionHypoxia (environmental)CytoplasmCell biologyHypoxia-inducible factorsCell cultureOxygenChromaffin cellChemistryBiologyBiochemistryEndocrinologyGeneAdrenal medulla

Abstract

fetched live from OpenAlex

Under normal O 2 levels, hypoxia inducible factor (HIF) ‐2α is hydroxylated via a set of oxygen‐dependent prolyl hydroxylases and degraded. During hypoxia, HIF‐2α is stabilized and translocates to the nucleus where it regulates genes critical for survival in low O 2 . The mechanisms by which HIF‐2α is stabilized during hypoxia remain controversial. To address this, we are using an O 2 ‐sensitive immortalized rat adrenomedullary chromaffin (MAH) cell line. In MAH cells, HIF‐2α induction occurs within 15 min exposure to hypoxia (2% O 2 ) and remains elevated for at least 24 hrs. This induction is blocked in the presence of rotenone (1 μM), myxothiazol (1 μM) and NaCN (1 mM), which inhibit mitochondrial complexes I, III, and IV, respectively. In addition, mitochondria‐deficient (ρ0) MAH cells fail to induce HIF‐2α during hypoxia (2% O 2 , 1 hr). The inhibitory effects of rotenone appear to be dependent on O 2 concentration. At higher O 2 levels (5%), HIF‐2α induction is inhibited by low concentrations of rotenone (10 nM), that are ineffective at lower O 2 levels (2%). We propose that mitochondrial O 2 consumption during hypoxia lowers or depletes cytoplasmic O 2 concentration, permitting HIF‐2α stabilization. Blocking mitochondrial respiration increases cytoplasmic O 2 concentration and triggers HIF‐2α degradation. Supported by the Heart and Stroke Foundation of Ontario and Canada

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.025
GPT teacher head0.273
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2007
Admission routes3
Has abstractyes

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