Construction of a Complementary DNA Library of Parelaphostrongylus tenuis and Identification of a Potentially Sero-Diagnostic Recombinant Antigen
Bibliographic record
Abstract
Newly developed serological tests for diagnosing parelaphostrongylosis in cervids, using the excretory-secretory products (ES) of the infective larvae of Parelaphostrongylus tenuis in enzyme-linked immunosorbent assays (ELISAs), have demonstrable superiority over the traditional method of larval recovery and microscopic identification. To generate a source of ELISA antigen by genetic engineering, we created a complementary DNA (cDNA) expression library by the reverse transcription of mRNA of P. tenuis adult worms, and ligation with the vector lambda-ZAP II. The library was screened using antisera produced in mice by immunization with a somatic antigen preparation of adult worms. Seventeen clones were isolated, sequenced, and checked for similarity to other DNA sequences in GenBank. A previously identified parasite gene encoding an aspartyl protease inhibitor (API) was isolated from the cDNA library, subcloned and expressed using the pET expression vector to produce a glutathione S transferase (GST)-His-S.Tag-P. tenuis API fusion protein (molecular weight = 63 kDa). An enzyme-linked immunosorbent assay utilizing the API fusion protein as the coating antigen was used to serologically diagnose all white-tailed deer (WTD, 10 out of 10) that had been inoculated with 6 - 150 L3 P. tenuis, indicating that the antigen may be a useful serodiagnostic antigen for P. tenuis infection in this cervid species.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".