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Record W4238857099 · doi:10.22215/etd/2013-09944

Regulation of Protein Translation and Cell Cycle Processes by Reversible Protein Phosphorylation in Response to Dehydration in the African Clawed Frog

2013· dissertation· en· W4238857099 on OpenAlexaff
Bryan C. Luu

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsCarleton University
Fundersnot available
KeywordsCell cycleCell biologyXenopusmTORC1Protein kinase BBiologyAfrican clawed frogTranslation (biology)PhosphorylationProtein biosynthesisCellBiochemistryGeneMessenger RNA

Abstract

fetched live from OpenAlex

The primarily aquatic African clawed frog, Xenopus laevis, has adapted to endure substantial dehydration, partly by entering a state of hypometabolism.This thesis focuses on two processes targeted by the central protein kinase Akt (that is inhibited during dehydration) -protein translation and the cell cycle.Results suggest that dehydration leads to mTORC1 inhibition via PRAS40 activation in both liver and skeletal muscle, thereby suppressing protein synthesis.Suppression of Akt also allows activation of p21 and p27 cell cycle inhibitors to promote cell cycle arrest in liver.Analysis of multiple protein components shows that cell cycle arrest is actively facilitated in liver, but not in muscle.Regulation of liver kinases and phosphatases led to hypophosphorylation of Rb which inhibits E2F1-induced transcription of genes required for cell cycle progression.Overall, during dehydration, frogs suppress protein translation in liver and muscle, and show regulated cell cycle arrest in liver, a proliferative tissue.

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 score0.004

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)0.0010.000

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 head0.007
GPT teacher head0.237
Teacher spread0.230 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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