Role of miRNAs in Translational Control of Human Apolipoprotein B-100 mRNA
Bibliographic record
Abstract
Apolipoprotein B (apoB) is a key structural and functional protein of lipoproteins\nand is synthesized constitutively in the liver. This study investigated the role of\nmicroRNAs (miRNAs) in translational control of apolipoprotein B (apoB) mRNA and\nprotein synthesis. Using bioinformatic analysis, I identified two specific miRNAs\nnamely, miR-544 and miR-1202 with potential to interact with 3’ and 5’ UTR of apoB,\nrespectively. Using HepG2 cells as the model system, the effects of transfection of\nexogenous miRNAs and inhibition of endogenous miRNAs were assessed on the\nexpression of apoB mRNA and protein synthesis, as well as apoB mRNA traffic into\ncytoplasmic P-bodies. miR-544 induced a significant reduction in apoB mRNA\nexpression and protein synthesis while increasing the co-localization of apoB mRNA into\nP-bodies. In contrast, transfection of miR-1202 increased apoB mRNA expression and\nprotein synthesis. In summary, these data demonstrate that specific miRNAs are involved\nin translational control of apoB mRNA.
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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".