Polysome trafficking of transcripts and microRNAs in regenerating liver after partial hepatectomy
Bibliographic record
Abstract
Liver regeneration after 70% partial hepatectomy (PH) in rats induces >95% of hepatocytes to undergo two rounds of semisynchronous cell replication. Gene expression is controlled primarily by posttranscriptional processing, including changes in mRNA stability. However, the translational activity of a specific mRNA can also be modulated after PH, resulting in significant uncoupling of protein and transcript levels relative to quiescent liver for many genes including c-myc and p53. Although the precise mechanism by which this uncoupling occurs is unknown, the polysomal association of mRNA and microRNA (miRNA) can significantly modulate rate of decay as well as translational activity. Thus we characterized the association of c-myc and p53 mRNAs and miRNAs in free and cytoskeleton- and membrane-bound polysome populations 3, 6, and 24 h after PH. The transcripts for c-myc and p53 were differentially distributed in the three discrete polysome populations, and this was dramatically modulated during liver regeneration. Nascent polysome-associated p53 and c-myc proteins were also differentially expressed in the free and cytoskeleton- and membrane-bound polysomes and significantly uncoupled from transcript levels relative to nonresected liver. At least 85 miRNAs were associated with the three polysome populations, and their abundance and distribution changed significantly during liver regeneration. These data suggest that posttranscriptional control of c-myc and p53 protein expression is associated with the translocation of transcripts between the different polyribosomes. The alteration of expression for the same transcript in different polysome populations may, in part, be due to the action of miRNAs.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".