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Record W4402259999 · doi:10.3324/haematol.2024.285552

BCAT1 is a NOTCH1 target and sustains the oncogenic function of NOTCH1

2024· article· en· W4402259999 on OpenAlexaff
Valeria Tosello, Ludovica Di Martino, Adonia E. Papathanassiu, Silvia Dalla Santa, Marco Pizzi, Lara Mussolin, Jingjing Liu, Pieter Van Vlierberghe, Erich Piovan

Bibliographic record

VenueHaematologica · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsChildren's & Women's Health Centre of British Columbia
Fundersnot available
KeywordsCancer researchAcetylationProgenitor cellPTENChemistryMedicineStem cellBiochemistryBiologyCell biologyGeneApoptosisPI3K/AKT/mTOR pathway

Abstract

fetched live from OpenAlex

High levels of branched-chain amino acid (BCAA) transaminase 1 (BCAT1) have been associated with tumor aggressiveness and drug resistance in several cancer types. Nevertheless, the mechanistic role of BCAT1 in T-cell acute lymphoblastic leukemia (T-ALL) remains uncertain. We provide evidence that Bcat1 was over-expressed following NOTCH1-induced transformation of leukemic progenitors and that NOTCH1 directly controlled BCAT1 expression by binding to a BCAT1 promoter. Further, using a NOTCH1 gain-of-function retroviral model of T-ALL, mouse cells genetically deficient for Bcat1 showed defects in developing leukemia. In murine T-ALL cells, Bcat1 depletion or inhibition redirected leucine metabolism towards production of 3-hydroxy butyrate (3-HB), an endogenous histone deacetylase inhibitor. Consistently, BCAT1-depleted cells showed altered protein acetylation levels which correlated with a pronounced sensitivity to DNA damaging agents. In human NOTCH1-dependent leukemias, high expression levels of BCAT1 may predispose to worse prognosis. Therapeutically, BCAT1 inhibition specifically synergized with etoposide to eliminate tumors in patient-derived xenograft models suggesting that BCAT1 inhibitors may have a part to play in salvage protocols for refractory T-ALL.

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 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 score0.367
Threshold uncertainty score0.238

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 head0.008
GPT teacher head0.239
Teacher spread0.230 · 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.

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

Citations7
Published2024
Admission routes1
Has abstractyes

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