Dynamic Behavior of DNA Cages Anchored on Spherically Supported Lipid Bilayers
Bibliographic record
Abstract
We report the anchoring of 3D-DNA-cholesterol labeled cages on spherically supported lipid bilayer membranes (SSLBM) formed on silica beads, and their addressability through strand displacement reactions, controlled membrane orientation and templated dimerization. The bilayer-anchored cages can load three different DNA-fluorophores by hybridization to their "top" face (furthest from bilayer) and unload each of them selectively upon addition of a specific input displacement strand. We introduce a method to control strand displacement from their less accessible "bottom" face (closest to the bilayer), by adding cholesterol-substituted displacing strands that insert into the bilayer themselves in order to access the toehold region. The orientation of DNA cages within the bilayer is tunable by positioning multiple cholesterol anchoring units on the opposing two faces of the cage, thereby controlling their accessibility to proteins and enzymes. A population of two distinct DNA cages anchored to the SSLBMs exhibited significant membrane fluidity and have been directed into dimer assemblies on bilayer via input of a complementary linking strand. Displacement experiments performed on these anchored dimers indicate that removal of only one prism's anchoring cholesterol strand was not sufficient to release the dimers from the bilayer; however, removal of both cholesterol anchors from the dimerized prisms via two displacement strands cleanly released the dimers from the bilayer. This methodology allows for the anchoring of DNA cages on supported lipid bilayers, the control of their orientation and accessibility within the bilayer, and the programmable dimerization and selective removal of any of their components. The facile coupling of DNA to other functional materials makes this an attractive method for developing stimuli-responsive protein or nanoparticle arrays, drug releasing biomedical device surfaces and self-healing materials for light harvesting applications, using a highly modular, DNA-economic scaffold.
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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 | 0.001 |
| 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".