A Combined Aptamer Pulldown‐DNAzyme Cleavage Assay for Intact Methicillin Resistant <i>Staphylococcus aureus</i> Cells
Bibliographic record
Abstract
Abstract Accurate and convenient detection of methicillin resistant Staphylococcus aureus (MRSA) plays a vital role in determining appropriate antibiotic interventions. Herein, we report the first example combining a DNA aptamer and an RNA‐cleaving DNAzyme (RCD) that bind different protein markers for selective preconcentration and detection of MRSA. An aptamer for the penicillin binding protein 2a (PBP2a) was generated by in vitro selection and was coupled to agarose beads to allow rapid pull down of intact MRSA cells from complex samples. A previously reported RCD for Staphylococcus aureus (SA) was then used to detect a second proteinaceous marker within the lysed cells based on a protein‐activated cleavage reaction that was linked to both fluorescence and lateral flow assays, allowing for selective detection of MRSA over methicillin sensitive SA. An optimized LFD assay could detect ∼10 3 cfu mL −1 of MRSA in either nasal mucus or serum with a total assay time of 1 h using minimal sample processing.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".