Internally Controlled Triplex Quantitative PCR Assay for Human Polyomaviruses JC and BK
Bibliographic record
Abstract
We have developed a triplex TaqMan-based quantitative PCR assay for the human polyomaviruses JC (JCPyV) and BK (BKPyV). The assay simultaneously detects and quantifies both JCPyV and BKPyV in human clinical samples, and it includes an internal amplification control consisting of murine polyomavirus (MuPyV) plasmid DNA. We developed the assay for the Roche LightCycler 480 platform with the reporter dyes VIC, 6-FAM, and Cy5 for MuPyV, BKPyV, and JCPyV, respectively. The assay had a high specificity for BKPyV and JCPyV when either viral genome was present alone or in mixed samples over a range of 10(1) to 10(7) copy numbers per reaction. The analytical sensitivity was 50 copies for BKPyV and 10 copies for JCPyV. The use of the MuPyV internal control ensured monitoring of the quality of the extraction and of PCR inhibition, even in samples such as cerebrospinal fluid and plasma in which controls based on host genes cannot be effectively used. In addition, we developed a similar assay using a different dye configuration (6-FAM, VIC, and NED) that could be used on an ABI 7500 Fast platform. This assay had sensitivities similar to those of the LightCycler 480 configuration for BKPyV and JCPyV when either viral genome was present alone, but the sensitivity of detection of BKPyV was greatly decreased when an excess of JCPyV (>100-fold) was present in the sample. This internally controlled combined assay offers greater convenience and cost-effectiveness compared to separate assays for each virus and can also detect unexpected PyV activations by testing for both viruses in all samples.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".