Bibliographic record
Abstract
Human retinoblastoma protein-interacting zinc-finger gene RIZ (PRDM2) encodes two protein products, tumor suppressor RIZ1 and proto-oncoprotein RIZ2, using alternative promoters. RIZ1 and RIZ2 regulate normal cell division in a Yin-Yang fashion with RIZ1 arresting cells in G2/M phase and inducing apoptosis and RIZ2 promoting cell proliferation. Silenced RIZ1 expression has been detected in various types of cancer. Because both RIZ isoforms contain multiple functional domains, their function mechanisms in suppressing or promoting tumor growth are complex. Based on the current knowledge, it is rational to propose four potential routes for RIZ1 to exert its tumor suppressing functions: directly repressing the promoters of growth factors such as insulin-like growth factor-1 via H3K9 (histone H3 lysine 9) methylation, regulating estrogen-induced pS2 transcription through forming a complex with transcriptional co-activator p300, activating tumor suppressor p53 using a methylation-acetylation interplay, and blocking gene transcriptions by binding to PR-Set7 and establishing a H4K20me1 (histone H4 lysine 20 monomethylation) - H3K9me1 (histone H3 lysine 9 mono-methylation) trans-tail ‘histone code’ at an ectopic locus.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".