Development of a Multiplex Assay to Measure the Effects of Shipping and Storage Conditions on the Quality of RNA Used in Molecular Assays for Detection of Viral Haemorrhagic Septicemia Virus
Bibliographic record
Abstract
Abstract In routine diagnostics, real-time reverse transcriptase quantitative PCR (RT-qPCR) has become a powerful method for fish health screening. Collection, transportation, and storage conditions of specimens could dramatically affect their integrity and could consequently affect RT-qPCR test results. In this study, to assess the expression profile of elongation factor 1 alpha (ELF-1α) gene, head kidney (HK) tissues from Atlantic Salmon Salmo salar were exposed at room temperature, 4°C, -20°C, and -80°C as well as in 70% ethanol for 6, 12, 24, 48, and 72 h. Data showed a significant increase of RT-qPCR cycle threshold (Ct) values for ELF-1α ranging from 14.7 to 26.5 cycles for tissues exposed to room temperature. In order to mimic the sample transportation conditions, different temperatures of storage were used and tissue quality was evaluated using ELF-1α gene expression. Data showed that Ct values for ELF-1α increased significantly when the tissues were transported on ice for 2 h, stored at -20°C, thawed on ice for 6 h, and stored again at -80°C. The HK tissues collected from Atlantic Salmon challenged with viral hemorrhagic septicemia virus (VHSV) through intraperitoneal injection were exposed at room temperature for 0, 6, 12, 24, 48, 72, and 96 h. Data showed a good correlation of values for ELF-1α and VHSV Ct although the ELF-1α mRNA of the host degraded faster than the RNA of VHSV. Based on these data, HK tissues could be transported on ice or ice packs without the quality of the tissue being affected when stored at -80°C upon arrival at the laboratory. In addition, 70% ethanol could be used as a preservative for long-distance transportation. For an efficient diagnostic test, a duplex VHSV-ELF-1α was developed and optimized. Data showed that the sensitivity of the duplex assay for VHSV was similar to the singleplex. Received November 25, 2013; accepted February 14, 2014.
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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 | 0.001 |
| 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) | 0.000 | 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".