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Record W1996601233 · doi:10.1242/jeb.053322

Coordination of cytochrome <i>c</i> oxidase gene expression in the remodelling of skeletal muscle

2011· article· en· W1996601233 on OpenAlexafffund
Ana T. Duggan, Katrinka M. Kocha, Christopher T. Monk, Katharina Bremer, Christopher D. Moyes

Bibliographic record

VenueJournal of Experimental Biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSkeletal muscleCytochrome c oxidaseBiologyChemistryGeneElectron Transport Complex IVCell biologyBiochemistryAnatomyMitochondrion

Abstract

fetched live from OpenAlex

Many fish species respond to low temperature by inducing mitochondrial biogenesis, reflected in an increase in activity of the mitochondrial enzyme cytochrome c oxidase (COX). COX is composed of 13 subunits, three encoded by mitochondrial (mt)DNA and 10 encoded by nuclear genes. We used real-time PCR to measure mRNA levels for the 10 nuclear-encoded genes that are highly expressed in muscle. We measured mRNA levels in white muscle of three minnow species, each at two temperatures: zebrafish (Danio rerio) acclimated to 11 and 30°C, goldfish (Carassius auratus) acclimated to 4 and 35°C, and northern redbelly dace (Chrosomus eos) collected in winter and summer. We hypothesized that temperature-induced changes in COX activity would be paralleled by COX nuclear-encoded subunit transcript abundance. However, we found mRNA for COX subunits showed pronounced differences in thermal responses. Though zebrafish COX activity did not change in the cold, the transcript levels of four subunits decreased significantly (COX5A1, 60% decrease; COX6A2, 70% decrease; COX6C, 50% decrease; COX7B, 55% decrease). Treatments induced changes in COX activity in both dace (2.9 times in winter fish) and goldfish (2.5 times in cold fish), but the response in transcript levels was highly variable. Some subunits failed to increase in one (goldfish COX7A2, dace COX6A2) or both (COX7B, COX6B2) species. Other transcripts increased 1.7-100 times. The most cold-responsive subunits were COX4-1 (7 and 21.3 times higher in dace and goldfish, respectively), COX5A1 (13.9 and 5 times higher), COX6B1 (6 and 10 times higher), COX6C (11 and 4 times higher) and COX7C (13.3 and 100 times higher). The subunits that most closely paralleled COX increases in the cold were COX5B2 (dace 2.5 times, goldfish 1.7 times) and COX6A2 (dace 4.1 times, goldfish 1.7 times). Collectively, these studies suggest that COX gene expression is not tightly coordinated during cold-induced mitochondrial remodelling in fish muscle. Further, they caution against arguments about the importance of transcriptional regulation based on measurement of mRNA levels of select subunits of multimeric proteins.

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 score0.002
Threshold uncertainty score0.219

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 head0.026
GPT teacher head0.277
Teacher spread0.250 · 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

Citations49
Published2011
Admission routes2
Has abstractyes

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