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Record W7028652694

The functional interplay between eIF2alpha phosphorylation and mTOR signaling pathways: implications in Tuberous Sclerosis Complex disorder

2015· dissertation· en· W7028652694 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.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldEngineering
TopicCivil and Structural Engineering Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsmTORC1PI3K/AKT/mTOR pathwaymTORC2PhosphorylationMechanistic target of rapamycinKinaseRegulatorIntegrated stress responseProtein kinase BEukaryotic initiation factor
DOInot available

Abstract

fetched live from OpenAlex

The mammalian target of rapamycin (mTOR) nucleates two complexes, namely mTOR complex 1 (mTORC1) and mTORC2, which are implicated in cell growth, survival, metabolism and cancer. The phosphorylation of the alpha subunit of the eukaryotic initiation factor eIF2 at serine 51 (eIF2αP) is a key regulator of mRNA translation and an important mechanism of adaptation of cells to various forms of environmental stress frequently associated with cancer formation. eIF2αP can act either as a promoter of cell survival or as an inducer of cell death in response to different forms of stress. Increased eIF2αP is mediated by a family of four kinases consisting of PKR, PERK, GCN2 and HRI, each of which becomes activated by distinct stimuli. In this study, we show that disruption of mTORC2, but not of mTORC1, induces eIF2αP through the activation of PERK. mTORC2 deficiency increases PERK activity owing to the ineffecive activation of AKT, which negatively controls PERK by phosphorylation at threonine 799. Moreover, pharmacological inhibition of mTOR with either rapamycin or the new generation of catalytic inhibitors also increases PERK activity and eIF2αP. Interestingly, rapamycin treatment induces eIF2αS51P through a mechanism that is independent of mTORC1 inhibition.The physiological relevance of our findings was substantiated in cells deficient in tuberous sclerosis complex (TSC), which have impaired mTORC2/AKT function, but increased mTORC1 activity. Our research shows that TSC-deficient cells exposed to ER stress exhibit increased levels of the PERK-eIF2αP arm, which functions as a compensatory mechanism to substitute for the loss of AKT and facilitate cell survival. TSC-deficient cells subjected to oxidative stress on the other hand, downregulate PERK-eIF2αP but activate the PKR-eIF2αP arm instead in an mTORC1-S6K1-mediated mechanism to promote cell death. Furthermore, we show that TSC-null cells deficient in eIF2αP have a greater tolerance to oxidative stress, leading to an increase in their tumorigenic potential and therefore allowing an earlier tumor incidence. Our study reveals that eIF2αP acts downstream of either mTORC2-AKT or mTORC1-S6K1 to promote either the survival or death of TSC-mutant cells in response to different stress-inducing drugs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.257
Teacher spread0.219 · 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