Establishment of a cell‐based quantitative reverse transcription‐polymerase chain reaction (RT‐qPCR) assay for detection of multivalent rotavirus vaccine
Bibliographic record
Abstract
Abstract Because of deficiencies of traditional potency tests in rotavirus detection, a one‐step TaqMan probe‐based quantitative reverse transcription‐polymerase chain reaction (RT‐qPCR) assay combined with cell‐based method was established to determine the infectious potency of the target virus in multivalent live rotavirus vaccines in vitro. Series dilutions of rotavirus samples were inoculated into Vero cells and cultured for 24 hours. The cells were lysed and the potency was detected by RT‐qPCR. The reference standards with a known titer (lgCCID 50 /mL) were assayed in parallel, and the potencies of each sample were determined using parallel line method. The specificity, precision and accuracy of the assay were evaluated, respectively. The results showed that messenger RNA produced during rotavirus replication was the primary template of RT‐qPCR and the primers and probes were specific to each strain. The coefficient of variation of different wells and different working days did not exceed 6% and the results of the assay were proved to be concordant with those of cell culture infective dose 50% with a relative deviation less than 5%. This assay is a more rapid, cost‐effective and high‐throughput way for detecting multivalent rotavirus vaccine, and will be a valuable tool in the quality control and stability monitoring of live multivalent rotavirus vaccine.
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 | 0.002 | 0.005 |
| 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 | 0.000 |
| 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".