Application of the 3'-Untranslated Region of Messenger RNA from Measles Virus Matrix Protein as an RNA Stabilizer: Implications in Pharmaceutical Biotechnology
Bibliographic record
Abstract
BACKGROUND: The market for the use of recombinant proteins for medical applications has been increasing in recent years. In many cases including fast production of significant amounts of protein for research purposes, transient transfection is the method of choice. In this regard expression vectors are one of the decisive factors in the cost-effectiveness of the production process. The genetic elements found in the 3’untranslated region (UTR) of mRNA expressed by such vectors, play an essential role in determining its stability and thus in the efficiency of the process. METHODS: In this study, the 3'UTR of matrix protein from the Measles Virus (MV) was used to construct a reporter plasmid containing Enhanced Green Fleurocent Protein (EGFP). The reporter construct was transfected into three cell lines. The effect of 3'UTR on mRNA stability was evaluated by real-time PCR. Secondary structure of the mrna was predicted based on minimum free energy. 3'UTR was analyzed in silico for the presence of binding motifs for trans-acting elements with known effects on RNA stability. RESULTS: Addition of 3’UTR of MV matrix protein sequence to the 3’ end of the mRNA, increased the EGFP- mRNA stability in time and cell-dependent manner. Analysis for the presence of known cis-acting motifs in 3’UTR indicated the presence of two PABPC1 binding sites, an RNA-binding protein, known for its stability and translation enhancing effects. CONCLUSION: Our results verified the potential of the 3'UTR region of matrix protein mRNA for improvement of transient recombinant protein production and vector design for mammalian cell hosts.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".