Electrochemical Sensing of Aptamer-Facilitated Virus Immunoshielding
Bibliographic record
Abstract
Oncolytic viruses (OVs) are promising therapeutics that selectively replicate in and kill tumor cells. However, repetitive administration of OVs provokes the generation of neutralizing antibodies (nAbs) that can diminish their anticancer effects. In this work, we selected DNA aptamers against an oncolytic virus, vesicular stomatitis virus (VSV), to protect it from nAbs. A label-free electrochemical aptasensor was used to evaluate the degree of protection (DoP). The aptasensor was fabricated by self-assembling a hybrid of a thiolated ssDNA primer and a VSV-specific aptamer. Electrochemical impedance spectroscopy was employed to quantitate VSV in the range of 800-2200 PFU and a detection limit of 600 PFU. The aptasensor was also utilized for evaluating binding affinities between VSV and aptamer pools/clones. An electrochemical displacement assay was performed in the presence of nAbs and DoP values were calculated for several VSV-aptamer pools/clones. A parallel flow cytometric analysis confirmed the electrochemical results. Finally, four VSV-specific aptamer clones, ZMYK-20, ZMYK-22, ZMYK-23, and ZMYK-28, showed the highest protective properties with dissociation constants of 17, 8, 20, and 13 nM, respectively. Another four sequences, ZMYK-1, -21, -25, and -29, exhibited high affinities to VSV without protecting it from nAbs and can be further utilized in sandwich assays. Thus, ZMYK-22, -23, and -28 have the potential to allow efficient delivery of VSV through the bloodstream without compromising the patient's immune system.
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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".