Members of the <i>Plag</i> gene family are expressed in complementary and overlapping regions in the developing murine nervous system
Bibliographic record
Abstract
In the developing nervous system, cell fate specification and proliferation are tightly coupled events, ensuring the coordinated generation of the appropriate numbers and correct types of neuronal and glial cells. While it has become clear that tumor suppressor genes and oncogenes are key regulators of cell division in tumor cells, their role in normal cellular and developmental processes is less well understood. Here we present a comparative analysis of the expression profiles of the three members of the pleiomorphic adenoma gene (Plag) family, which encode zinc finger transcription factors previously characterized as tumor suppressors (Zac1) or oncogenes (Plag1, Plag-l2). We focused our analysis on the developing nervous system of mouse where we found that the Plag genes were expressed in both unique and overlapping patterns in the central and peripheral nervous systems, and in olfactory and neuroendocrine lineages. Based on their patterns of expression, we suggest that members of the Plag gene family might control cell fate and proliferation decisions in the developing nervous system and propose that deciphering these functions will help to explain why their inappropriate inactivation/activation leads to tumor formation.
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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) | 0.001 | 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".