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Record W4390608045 · doi:10.1080/15548627.2023.2300922

MCOLN/TRPML channels in the regulation of MTORC1 and autophagy

2024· review· en· W4390608045 on OpenAlex
Peng Huang, Rose Yang Dong, Pingping Wang, Mengnan Xu, Xue Sun, Xian‐Ping Dong

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

VenueAutophagy · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalcium signaling and nucleotide metabolism
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health Research
KeywordsmTORC1AutophagyCell biologyBiologyLysosomePhosphatidylinositolVacuolePI3K/AKT/mTOR pathwayBiochemistrySignal transductionEnzymeCytoplasm

Abstract

fetched live from OpenAlex

MCOLN1 and MCOLN3 are two Ca2+ release channels residing in the endolysosomal membrane. They are activated by phosphatidylinositol (PtdIns)-3-phosphate (PtdIns3P) and/or PtdIns(3,5)P2. Their activities are also regulated by lumenal pH, with low pH enhancing that of MCOLN1 and high pH increasing that of MCOLN3. Recent studies further suggest that upon starvation, both MCOLN1 and MCOLN3 are activated by a reduction in MTORC1 activity; their activation in turn regulates MTORC1 activity to facilitate macroautophagic/autophagic flux. On the one hand, MCOLN3 appears to be recruited to phagophores where it is activated by PtdIns3P and high pH to inhibit MTORC1 activity using a positive feedback mechanism, thereby increasing autophagy induction. On the other hand, MCOLN1 is activated by PtdIns(3,5)P2 and low pH in (auto)lysosomes to increase MTORC1 activity using a negative feedback mechanism, promoting autophagic lysosome reformation. The cell uses the two feedback mechanisms to ensure efficient autophagic flux to survive adverse conditions such as nutrient deprivation and bacterial infection.

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 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 score0.992
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.029
GPT teacher head0.322
Teacher spread0.293 · 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