Abstract A11: Biophysical characterization of the b-HLH-LZ of deltaMax
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".