Comparison of quantitative PCR and digital PCR assays for quantitative detection of infectious bronchitis virus (IBV) genome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The quantitative polymerase chain reaction (qPCR) technique is an extensively used molecular tool for the detection and quantification of viral genome load. However, since the qPCR assay is a relative quantification method that relies on an external calibration curve it has a lower assay precision and sensitivity. The digital PCR (dPCR) technique is a good alternative to the qPCR assay as it offers highly precise and direct quantification of viral genome load in samples. In this study, performance characteristics such as the quantification range, sensitivity, precision, and specificity of the dPCR technique was compared to qPCR technique for the detection and quantification of IBV genome loads in serial dilutions of IBV positive plasmid DNA, and IBV infected chicken tissue and swab samples. The quantification range of the qPCR assay was wider than that of the dPCR assay, however dPCR had a higher sensitivity compared to qPCR. The precision of quantification of DNA in plasmid samples in terms of repeatability and reproducibility of results was higher when using the dPCR assay compared to qPCR assay. The quantification results of IBV genome load in infected samples by the qPCR and dPCR assays displayed a high correlation. Hence, our findings suggest that dPCR could be used in avian virology research for improved precision and sensitivity in detection and quantification of viral genome loads.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it