Split Cas12a protospacer engineering enables ultra-specific, PAM-free detection
Bibliographic record
Abstract
ABSTRACT CRISPR-Cas12a is a programmable, RNA-guided endonuclease that has revolutionized biotechnology, with applications in genome engineering and diagnostics. To induce nuclease activity, Cas12a must first interact with the target dsDNA duplex by associating with a short protospacer adjacent motif (PAM) in the sequence. In this study we have split this target duplex to create PAM-proximal and PAM-distal duplex regions, which has allowed us to regulate trans-cleavage activity when these regions are included in combination or separately. These observations on Cas12a activity led to hypotheses into the related functional mechanisms, which we have tested and that have highlighted DNA/protein interactions during Cas12a complex assembly that were not otherwise apparent. Selective destabilization of the nucleic acid complexes appears to drive greater reliance on the Cas12a protein for complex stability. We have exploited this to provide significant improvements in both structural selectivity and nucleotide specificity in PAM-proximal and PAM-distal duplex regions, respectively. The result is an architecture that shows promise as a PAM-free ultra-specific platform to resolve single nucleotide polymorphisms. GRAPHICAL ABSTRACT
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".