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Downstream Targets of mTORC1

2009· book-chapter· en· W54829433 on OpenAlexaff
Bruno D. Fonseca, Christopher G. Proud

Bibliographic record

VenueHumana Press eBooks · 2009
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsMcGill University Health CentreMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsmTORC1Cell biologyEukaryotic initiation factorEIF4EBiologyPI3K/AKT/mTOR pathwayKinaseRibosomal protein s6Eukaryotic translationP70-S6 Kinase 1Translation (biology)Signal transductionBiochemistryGeneMessenger RNA

Abstract

fetched live from OpenAlex

The best-understood targets for mTOR complex 1 (mTORC1) are proteins that are involved in mRNA translation or in its control. They include the ribosomal protein S6 kinases and the eukaryotic initiation factor (eIF) 4E-binding proteins (4E-BPs). The latter regulate the availability of the cap-binding protein eIF4E and the formation of eIF4F complexes which promote the translation of certain mRNAs. The physiological roles of the S6 kinases are less clear. 4E-BPs and S6 kinases all contain a TOR-signaling (TOS) motif which allows them to interact with the mTORC1 component raptor and facilitates their phosphorylation by mTORC1. Two other proteins, the transcriptional regulator hypoxia-inducible factor (HIF)-1α and proline-rich Akt substrate 40 kDa (PRAS40), also contain TOS motifs and are regulated by mTORC1. Several other processes are also controlled by mTORC1; these include translation elongation (through the regulation of eukaryotic elongation factor (eEF2) kinase), autophagy, and the transcription of genes involved in mitochondrial function. Here, we review current understanding of signaling downstream of mTORC1.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.723
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.032
GPT teacher head0.259
Teacher spread0.227 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2009
Admission routes1
Has abstractyes

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