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Record W2942061023 · doi:10.1002/biof.1511

Mitochondria, metabolic control and microRNA: Advances in understanding amphibian freeze tolerance

2019· review· en· W2942061023 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBioFactors · 2019
Typereview
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyCell biologyMitochondrionMetabolic pathwayBiochemistryCryoprotectantMetabolismCryopreservation

Abstract

fetched live from OpenAlex

Winter survival for many animal species depends freeze tolerance, a capacity to endure the conversion of as much as 65-70% of total body water into extracellular ice while reorganizing metabolism to provide cells with cryoprotection against insults that include prolonged ischemia and hyperosmotic stress. Natural freeze tolerance involves not just de novo preservation mechanisms such as synthesis of high levels of cryoprotectants or novel proteins that manage ice formation, but also requires attention to and co-ordination of many cellular processes. The present review examines recent studies of the freeze-tolerant wood frog (Rana sylvatica) that probed previously unexplored areas of metabolic adaptation for freezing survival, with a particular emphasis on mitochondria. Post-translational controls on enzyme function play a prominent role in resculpting metabolic responses of the wood frog to freezing including reversible phosphorylation control over fuel processing at the pyruvate dehydrogenase locus and modulation of antioxidant defense enzymes (Mn-SOD, catalase). Enzymes involved in mitochondrial nitrogen metabolism (glutamate dehydrogenase, carbamoyl phosphate synthetase) are also differentially regulated during freezing but by different post-translational modifications including ADP-ribosylation, lysine acetylation or glutarylation. The action of microRNAs in mediating post-translational controls on gene expression aid the suppression of energy-expensive (cell cycle) or destructive (apoptosis) processes in the frozen state while also providing storage of transcripts that will be immediately available for repair or reactivation of metabolic processes after thawing. The effects of low temperature in strengthening mRNA-microRNA interactions can also provide a passive mechanism of metabolic suppression in the frozen state.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.054
GPT teacher head0.282
Teacher spread0.228 · 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