Bibliographic record
Abstract
Abstract The MYC oncogene has been the subject of intense study for more than 30 years, due to its important role in tumourigenesis. MYC is a nuclear transcription factor that can regulate the expression of a multitude of target genes, and its expression in tumours is often associated with poor prognosis. Although decades of research have provided insights into its molecular function as a transcription factor, the mechanisms by which MYC can induce cellular transformation have remained elusive. In addition to the regulation of genes important for cell cycle progression, metabolism, apoptosis and angiogenesis, MYC has wide‐reaching effects, including the alteration of cellular epigenetics and total ribonucleic acid (RNA) content. Recent reports have suggested that post‐translational modification (PTM) of MYC is important for regulating the activity and functions of this potent oncogene; however, surprisingly, little research has been conducted in this area. Herein, the authors summarise recent findings regarding the molecular and biological functions of MYC and their relationship to the PTMs of MYC. Key Concepts: The MYC oncogene encodes a nuclear basic helix‐loop‐helix transcription factor. MYC regulates a large number of transcriptional targets and can have wide‐reaching effects on proliferation, the epigenome and total cellular RNA content. MYC is essential for cellular proliferation and is a potent oncogene when it is deregulated in cancer. Deregulated, often elevated, MYC levels have been shown to initiate tumourigenesis in many in vivo models. MYC activity and stability is regulated by post‐translational modifications, including phosphorylation, ubiquitylation and acetylation.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".