Translation of glycoprotein IIIa in stored blood platelets
Bibliographic record
Abstract
BACKGROUND: Platelet (PLT) products have a short shelf life (5 days) owing in part to the deterioration of the quality of PLTs stored at 22 degrees C. This creates significant inventory challenges, and blood banks may suffer shortages and high wastage as a result. The precise biochemical pathways involved in the PLT storage lesion are unknown and must be understood before storage time can be extended. STUDY DESIGN AND METHODS: Informed by previous proteomics analysis, specific PLT glycoprotein (GP) concentration and surface expression were examined by Western blot and flow cytometry. mRNA concentration was determined by Northern blot and real-time polymerase chain reaction. Protein synthesis was confirmed by [(35)S]methionine labeling. RESULTS: Western blots of GPIIIa revealed a twofold increase in concentration on Day 7 of storage and a fourfold increase on Day 10. By flow cytometry, surface expression of the GPIIb/IIIa increased by 13.4 percent on Day 7 and 41.9 percent on Day 10. Full-length GPIIIa mRNA was present throughout this storage period and was shown to have a half-life of approximately 2.9 days. Translation of GPIIb and IIIa during storage was confirmed by [(35)S]methionine labeling. CONCLUSION: This article confirms that PLTs are capable of synthesizing biologically relevant proteins ex vivo throughout a 10-day storage period with particularly long-lived mRNA and provides a framework through which the biochemical mechanisms involved in the translational regulation of proteins thought to be involved in the initiation or exacerbation of the PLT storage lesion can be investigated.
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 | 0.001 |
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".