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Record W2299517731 · doi:10.1158/1557-3125.myc15-a11

Abstract A11: Biophysical characterization of the b-HLH-LZ of deltaMax

2015· article· en· W2299517731 on OpenAlexaff
Loïka Maltais, Cynthia Tremblay, Mikaël Bédard, Martin Montagne, Pierre Lavigne

Bibliographic record

VenueMolecular Cancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAlternative splicingRNA splicingEnhancerExonBiologyGeneTranscriptional regulationPromoterGene isoformTranscription factorCell biologyCancer researchGene expressionGeneticsRNA

Abstract

fetched live from OpenAlex

Abstract Myc proteins (N-, L- and c-Myc) are transcriptional regulators with a broad spectrum of target genes. While essential for development, cell growth and proliferation as well as apoptosis, they play a major role in cancer onset and progression when deregulated. Myc protein functions depend on their heterodimerization with Max, another transcriptional regulator capable of forming a homodimer and antagonizing c-Myc transcriptional regulation. Recent studies have shown that c-Myc can control the alternative splicing of Max's pre-messenger RNA to produce a c-terminal truncated isoform called deltaMax. The ratio of deltaMax/WT-Max (p21) in cancer cells correlates with increased malignancy. In addition to producing a shorter gene product, the alternative splicing (exon-inclusion) generates a change in sequence in the LZ. The LZ domain is an integral and crucial part of the b-HLH-LZ motif of Max controlling its homodimerization and specific heterodimerization with c-Myc as well as binding to the E-box sequences found in gene promoters and enhancers. Whereas it has been demonstrated that deltaMax increases c-Myc transcriptional activities, the underlying mechanisms have not been elucidated yet. Here, we provide original insights into such mechanisms. First, we show that contrary to the WT motif, the b-HLH-LZ of deltaMax does not homodimerize. In addition, while the b-HLH-LZ of deltaMax can still heterodimerize with the b-HLH-LZ of c-Myc, it can no longer compete with the binding of the heterodimer to E-box sequences. Taken together, our results demonstrate that deltaMax can maximize the amount of c-Myc bound target gene promoters and enhancers and explain how deltaMax and the ratio of deltaMax/WT-Max (p21) in cancer cells can increase c-Myc oncogenic activities. Citation Format: Loïka Maltais, Cynthia Tremblay, Mikaël Bédard, Martin Montagne, Pierre Lavigne. Biophysical characterization of the b-HLH-LZ of deltaMax. [abstract]. In: Proceedings of the AACR Special Conference on Myc: From Biology to Therapy; Jan 7-10, 2015; La Jolla, CA. Philadelphia (PA): AACR; Mol Cancer Res 2015;13(10 Suppl):Abstract nr A11.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.267

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 head0.066
GPT teacher head0.355
Teacher spread0.290 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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