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Record W2118502596 · doi:10.1242/jeb.00872

Accumulation and translation of ferritin heavy chain transcripts following anoxia exposure in a marine invertebrate

2004· article· en· W2118502596 on OpenAlexaff
Kevin Larade, Kenneth B. Storey

Bibliographic record

VenueJournal of Experimental Biology · 2004
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsCarleton University
Fundersnot available
KeywordsFerritinHepatopancreasBiologyIncubationComplementary DNAPolysomeMolecular biologyBlotAnoxic watersMessenger RNABiochemistryGeneRibosomeRNAEcology

Abstract

fetched live from OpenAlex

Differential screening of a Littorina littorea (the common periwinkle) cDNA library identified ferritin heavy chain as an anoxia-induced gene in hepatopancreas. Northern blots showed that ferritin heavy chain transcript levels were elevated twofold during anoxia exposure, although nuclear run-off assays demonstrated that ferritin heavy chain mRNAs were not transcriptionally upregulated during anoxia. Polysome analysis indicated that existing ferritin transcripts were actively translated during the anoxic period. This result was confirmed via western blotting, which demonstrated a twofold increase in ferritin heavy chain protein levels during anoxia, with a subsequent decrease to control levels during normoxic recovery. Organ culture experiments using hepatopancreas slices demonstrated a >50% increase in ferritin heavy chain transcript levels in vitro under conditions of anoxia and freezing, as well as after incubation with the second messenger cGMP. Taken together, these results suggest that ferritin heavy chain is actively regulated during anoxia exposure in the marine snail, L. littorea.

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 score0.093
Threshold uncertainty score0.299

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 head0.034
GPT teacher head0.319
Teacher spread0.285 · 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

Citations90
Published2004
Admission routes1
Has abstractyes

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