Investigation of Layer-by-Layer Assembly of Polyelectrolytes on Fully Functional Human Red Blood Cells in Suspension for Attenuated Immune Response
Bibliographic record
Abstract
The encapsulation of live cells with polymeric coat-ings is a versatile approach to modulate or control the response cells to their environment. The layer-by-layer (LbL) self-assembly of nonimmunogenic polyelectrolytes is employed here to attenuate or suppress the binding of antibodies to live red blood cells (RBCs) and, consequently, decrease their inherent immunogenicity toward foreign RBCs. The optimized shell was composed of four bilayers of alginate (AL) and chitosan-graft-phosphorylcholine (CH-PC) surrounded by two bilayers of AL and poly-l-lysine-graft-polyethylene glycol (PLL-PEG). Experimental parameters, including the polyelectrolytes and RBCs concentrations and the cell handling and purification protocols, were optimized to achieve effective encapsulation of live and functional RBCs in suspension. The viability and functionality of coated RBCs were confirmed by a hemolysis assay and by their ability to take up oxygen. The successful immunocamouflage of RBCs was confirmed by observing that the recognition of the ABO/D (Rh) blood group antigens present on the surface of RBCs by their respective antibodies was muted in the case of coated RBCs. The results of this studies mark an important step toward the production of universal RBCs.
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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 | 0.000 | 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 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".