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Record W4237382727 · doi:10.32920/ryerson.14648823.v1

Regulation of lysosome biogenesis by phosphoinositides and phagocytosis

2021· preprint· en· W4237382727 on OpenAlexaff
Christopher Choy

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalcium signaling and nucleotide metabolism
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTFEBLysosomeCell biologymTORC1AutophagyBiogenesisBiologyMechanistic target of rapamycinPI3K/AKT/mTOR pathwayBiochemistrySignal transductionGene

Abstract

fetched live from OpenAlex

Lysosomes are acidic organelles responsible for molecular degradation, energy balance, and pathogen clearance. Consequently, lysosome dysfunction is linked to numerous diseases, including lysosome storage diseases. Notably, enhancing lysosome biogenesis ameliorates cell function and helps clear metabolites. The transcription factor EB (TFEB) is a master regulator of lysosome biogenesis, and thus a potential therapeutic target. Among known regulators of TFEB, the mammalian target of rapamycin complex 1 (mTORC1) is best understood. In nutrient-rich cells, mTORC1 is activated and represses TFEB by phosphorylation. Upon starvation, mTORC1 is inactivated and TFEB enters the nucleus, upregulating lysosomal gene expression to enhance cellular degradation for energy recovery. Numerous other TFEB-dependent pathways have been identified. We aim to understand how TFEB is regulated in two additional contexts: in lysosome enlargement during phosphatidylinositol 3,5-bisphosphate [PtdIns(3,5)P2] depletion and in phagocytosis. First, PtdIns(3,5)P2 is required for maintaining lysosome size by an incompletely understood mechanism. We hypothesized that TFEB-mediated lysosome biogenesis contributes de novo lysosomal material. Acute depletion of PtdIns(3,5)P2-synthesizing kinase PIKfyve induced TFEB nuclear accumulation. Despite increases in transcription, little to no protein translation was observed. Furthermore, tfeb-/-cells and cells blocked with cycloheximide were similar to wild-type cells, with regard to the number and size of lysosomes during PIKfyve inhibition cells, suggesting biosynthesis is not necessary for lysosome enlargement. However, TFEB still becomes active by an known mechanism. We show that TFEB nuclear localization during PIKfyve inhibition was not due to mTORC1 inactivation but may result from GSK3 inhibition. Secondly, phagocytosis allows immune cells to sequester potential pathogens by engulfing them into phagosomes. These phagosomes are then degraded by the lysosome. We postulated that phagocytosis would enhance TFEB-mediated lysosome biogenesis to promote pathogen killing. Fcγ receptor-mediated phagocytosis activated TFEB and increased biosynthesis of select lysosomal genes, augmenting existing lysosomes and enhancing proteolysis. To understand how TFEB was activated by the Fcγ receptor, we inhibited key signaling and trafficking mediators. Particle internalization, phagosome formation, and phagosome maturation appear to be necessary for TFEB activation. Overall, our work uncovers two additional mechanisms that may govern TFEBactivation.

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)0.0000.000

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 head0.008
GPT teacher head0.231
Teacher spread0.222 · 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
Published2021
Admission routes1
Has abstractyes

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