A Multiplexed Transcription Activator-like Effector System for Detecting Specific DNA Sequences
Bibliographic record
Abstract
Transcription activator-like effectors (TALEs), originating from the Xanthomonas genus of bacteria, bind to specific DNA sequences based on amino acid sequence in the repeat-variable diresidue (RVD) positions of the protein. By altering these RVDs, it has been shown that a TALE protein can be engineered to bind virtually any DNA sequence of interest. The possibility of multiplexing TALEs for the purposes of identifying specific DNA sequences has yet to be explored. Here, we demonstrate a system in which a TALE protein bound to a nitrocellulose strip has been utilized to capture purified DNA, which is then detected using the binding of a second distinct TALE protein conjugated to a protein tag that is then detected by a dot blot. This system provides a signal only when both TALEs bind to their respective sequences, further demonstrating the specificity of the TALE binding.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".