Anti-Fab Aptamers for Shielding Virus from Neutralizing Antibodies
Bibliographic record
Abstract
Oncolytic viruses are promising therapeutics that can selectively replicate in and kill tumor cells. However, repetitive administration of viruses provokes the generation of neutralizing antibodies (nAbs) that can diminish their anticancer effect. In this work, we selected DNA aptamers against the antigen binding fragment (Fab) of antivesicular stomatitis virus polyclonal antibodies to shield the virus from nAbs and enhance its in vivo survival. For the first time, we used flow cytometry and electrochemical immunosensing to identify aptamers targeting the Fab region of antibodies. We evaluated the aptamers in a cell-based infection assay and found that several aptamer clones provide more than 50% shielding of VSV from nAbs and thus have the potential to enhance the delivery of VSV without compromising the patient's immune system. In addition, we developed a bifunctional label-free electrochemical immunosensor for the quantitation of aptamer-mediated degree of shielding and the amount of vesicular stomatitis virus (VSV) particles. Electrochemical impedance spectroscopy was employed to interrogate the level of VSV in a linear range from 5 × 10(4) to 5 × 10(6) PFU mL(-1) with a detection limit of 10(4) PFU mL(-1).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".