IDENTIFICATION AND CHARACTERIZATION OF PROMYELOCYTIC LEUKEMIA (PML)-ISOFORM 1 SPECIFIC PROTEIN-PROTEIN INTERACTIONS
Bibliographic record
Abstract
Loss of the promyelocytic leukemia (PML) protein is associated with genomic instability/cancer. There are several isoforms of the PML protein that localize in PML nuclear bodies (PML NBs). How each individual isoform contributes to the functions of PML NBs is unknown. The objective of this study was to identify and characterize PML isoform-I (PML-I) specific protein-protein interactions. Using yeast two-hybrid screens, several interacting partners of PML-I were identified that play roles in translational regulation, including eukaryotic initiation factor 3 subunit K (eIF3K). Our studies demonstrated that eIF3K interacts with PML-I in vitro and in vivo. Through its interaction with eIF3K, overexpression of PML-I resulted in the concomitant increase in eIF3K protein levels in mammalian cells. This suggests that PML-I may be involved in regulating eIF3K protein translation or stability, which in turn could affect translation of specific mRNAs or global translation in cancer cells with reduced expression of PML-I.
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 | 0.000 |
| 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".