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Record W4311681150 · doi:10.22215/etd/2022-15199

Role of Glucose-induced Transcription Factor Signalling and Mitochondrial Epigenetics in Stress Tolerant Wood Frog, Rana sylvatica

2022· dissertation· en· W4311681150 on OpenAlexafffund
Gurjit Singh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyTXNIPTranscription factorCell biologyGlucose homeostasisWRKY protein domainInternal medicineEndocrinologyTranscriptomeGeneBiochemistryOxidative stressGene expressionThioredoxinDiabetes mellitus

Abstract

fetched live from OpenAlex

The freeze-tolerant wood frogs, Rana sylvatica are one of only a few vertebrate species in the animal kingdom which are extensively studied to understand vertebrate freeze tolerance.They undergo whole-body freezing during winter and become ice solid with no heartbeat, brain activity and blood flow but amazingly come back to life during spring, unharmed without any major changes in their body.Freeze survival is challenging, with wood frogs facing ischemia due to freezing of blood, dehydration via cell volume reductions due to loss of 60-70% of total body water into extracellular space as well as hyperglycemia, producing a large amount of glucose as a cryoprotectant.Interestingly, wood frogs can also tolerate these stresses independent of freezing.Also, winter survival by wood frogs is associated with a metabolic reorganization to reduce their energy demands to a bare minimum by globally suppressing energy-expensive pathways and selectively regulating genes to prioritize available energy use for pro-survival pathways.This thesis examined the effects of freezing and dehydration-induced hyperglycemic response in selectively inducing transcription factor MondoA in regulating glucose-induced transcription and activating an adaptive transcriptional response to induce stress response via inflammasome activation, mitochondrial dysfunction and mitochondrial epigenetics.The current findings establish MondoA in guiding an adaptive transcriptional response to activate genes regulating glucose homeostasis and circadian rhythm in a tissue-specific manner in the liver during the freeze/thaw cycle.Also, the role of TXNIP (downstream to MondoA) and its PTMs, in activating inflammasome via NLRP-3 in a stress-specific way iv during freezing was shown.Moreover, the higher mitochondrial presence of TXNIP did not correlate to protein expression of its downstream targets in inducing mitochondrial dysfunction in any of the stresses, which were attributed to its low/weak binding to TRX-2.Investigating the role of mitochondrial methylation suggests its tissue-specific regulation in the liver and potential role in maintaining a tight regulation of mitochondrial transcriptional and gene expression response.Altogether, findings from this thesis demonstrate that a highly synchronized and intricate control via multiple levels of regulation is present in activating mechanisms that are involved in maintaining cellular milieu during stress in wood frogs.

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 score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.018
GPT teacher head0.276
Teacher spread0.259 · 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
Published2022
Admission routes2
Has abstractyes

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