In Vitro Selection and Characterization of a DNAzyme Probe for Diverse Pathogenic Strains of <i>Clostridium difficile</i>
Bibliographic record
Abstract
Clostridium difficile frequently causes an infectious disease known as Clostridium difficile infection (CDI), and there is an urgent need for the development of more effective rapid diagnostic tests for CDI. Previously we have developed an RNA-cleaving fluorogenic DNAzyme (RFD) probe, named RFD-CD1, that is capable of detecting a specific strain of C. difficile but is too specific to recognize other pathogenic C. difficile strains. To overcome this issue, herein we report RFD-CD2, another RFD that is not only highly specific to C. difficile but also capable of recognizing diverse pathogenic C. difficile strains. Extensive sequence and structure characterization establishes a pseudoknot structure and a significantly minimized sequence for RFD-CD2. As a fluorescent sensor, RFD-CD2 can detect C. difficile at a concentration as low as 100 CFU/mL, thus making this DNAzyme an attractive molecular probe for rapid diagnosis of CDI caused by diverse strains of C. difficile.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 0.001 |
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".