In Vitro Selection of Circular DNA Aptamers for Biosensing Applications
Bibliographic record
Abstract
We report on the first effort to select DNA aptamers from a circular DNA library, which resulted in the discovery of two high-affinity circular DNA aptamers that recognize the glutamate dehydrogenase (GDH) from Clostridium difficile, an established antigen for diagnosing Clostridium difficile infection (CDI). One aptamer binds effectively in both the circular and linear forms, the other is functional only in the circular configuration. Interestingly, these two aptamers recognize different epitopes on GDH, demonstrating the advantage of selecting aptamers from circular DNA libraries. A sensitive diagnostic test was developed to take advantage of the high stability of circular DNA aptamers in biological samples and their compatibility with rolling circle amplification. This test is capable of identifying patients with active CDI using stool samples. This work represents a significant step forward towards demonstrating the practical utility of DNA aptamers in clinical diagnosis.
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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 | 0.001 | 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 | 0.001 |
| 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".