Controlling Hybridization Chain Reactions with pH
Bibliographic record
Abstract
By taking inspiration from nature, where self-organization of biomolecular species into complex systems is finely controlled through different stimuli, we propose here a rational approach by which the assembly and disassembly of DNA-based concatemers can be controlled through pH changes. To do so we used the hybridization chain reaction (HCR), a process that, upon the addition of an initiator strand, allows to create DNA-based concatemers in a controlled fashion. We re-engineered the functional units of HCR through the addition of pH-dependent clamp-like triplex-forming domains that can either inhibit or activate the polymerization reaction at different pHs. This allows to finely regulate the HCR-induced assembly and disassembly of DNA concatemers at either basic or acidic pHs in a reversible way. The strategies we present here appear particularly promising as novel tools to achieve better spatiotemporal control of self-assembly processes of DNA-based nanostructures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".