The Genetics of 3-M Syndrome: Unravelling a Potential New Regulatory Growth Pathway
Bibliographic record
Abstract
3-M syndrome is an autosomal recessive primordial growth disorder characterised by severe postnatal growth restriction caused by mutations in CUL7, OBSL1 or CCDC8. Clinical characteristics include dysmorphic facial features and fleshy prominent heels with a variable degree of radiological abnormalities. CUL7 is a structural protein central to the formation of an ubiquitin E3 ligase that is known to target insulin receptor substrate 1 for degradation. CUL7 also binds to p53 and may be involved in the control of p53-dependent apoptosis. OBSL1 is a cytoskeletal adaptor protein that was thought to play a central role in myocyte remodelling, and CCDC8 has no defined function as yet. However, the physical interaction of OBSL1 with both CUL7 and CCDC8 and its potential role in the regulation of CUL7 expression suggest all three proteins are members of the same growth-regulatory pathway. Future work should be directed to investigating the function of the 3-M syndrome pathway and in particular the role in the insulin like growth factor I signalling pathway with a view of potentially revealing new therapeutic targets and identifying key regulators of cellular growth.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".