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Record W2885251054 · doi:10.1080/15548627.2018.1447290

Importance of TFEB acetylation in control of its transcriptional activity and lysosomal function in response to histone deacetylase inhibitors

2018· article· en· W2885251054 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

VenueAutophagy · 2018
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Toronto
FundersNational Medical Research Council
KeywordsTFEBAcetylationBiologyAutophagyHistone deacetylasemTORC1Cell biologyHDAC4HistoneTranscriptional regulationBiochemistryPI3K/AKT/mTOR pathwayCancer researchTranscription factorSignal transductionApoptosis

Abstract

fetched live from OpenAlex

TFEB (transcription factor EB) is a master regulator of lysosomal biogenesis, function and autophagy. The transcriptional activity of TFEB is mainly controlled by its phosphorylation status mediated by the MTOR (mechanistic target of rapamycin [serine/threonine kinase]) complex 1 (MTORC1). At present, little is known whether other forms of posttranslational modifications (PTMs) such as acetylation also affects is transcriptional activity. In this study, we first observed that a well-established histone deacetylase inhibitor suberoylanilide hydroxamic acid (SAHA) activated lysosomal function in human cancer cells, a process independent of the MTORC1 pathway. Second, SAHA treatment activated TFEB transcriptional activity, as evidenced by increased TFEB luciferase activity and expression of its target genes. Third and more importantly, we observed the enhanced TFEB acetylation in SAHA-treated cells, with identification of 4 acetylation sites. Mutation of these 4 sites markedly diminished TFEB transcriptional activity and lysosomal function induced by SAHA. Finally, we found that TFEB acetylation was functionally implicated in SAHA-mediated autophagy and cell death in cancer cells. Taken together, our results demonstrate that TFEB acetylation is a novel form of PTMs in TFEB that plays an important role in determining its transcriptional activity, lysosomal function and autophagy in cancer cells. ABBREVIATIONS: ACAT1: acetyl-coenzyme A acetyltransferase 1; AHA: L-azidohomoalanine; AO: acidic orange; ATG: autophagy related; CLEAR: Coordinated Lysosomal Expression and Regulation; CQ: chloroquine; CTSB: cathepsin B; HATs: histone acetyltransferases; HDACIs: HDACs inhibitors; HDACs: histone deacetylases; IP: immunoprecipitation; MEFs: mouse embryonic fibroblasts; MS: mass spectrometry; MTOR: mechanistic target of rapamycin (serine/threonine kinase); MTORC1: mechanistic target of rapamycin (serine/threonine kinase) complex 1; PTMs: posttranslational modifications; SAHA: suberoylanilidehydroxamic acid; TFEB: transcription factor EB.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.459

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 integrity0.0000.000
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 head0.012
GPT teacher head0.285
Teacher spread0.273 · 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