Modular Polymers as a Platform for Cell Surface Engineering: Promoting Neural Differentiation and Enhancing the Immune Response
Bibliographic record
Abstract
Regulating cell behavior and cell fate are of great significance for basic biological research and cell therapy. Carbohydrates, as the key biomacromolecules, play a crucial role in regulating cell behavior. Herein, "modular" glycopolymers were synthesized by reversible addition-fragmentation chain transfer polymerization. These glycopolymers contain sugar units (glucose), anchoring units (cholesterol), "guest" units (adamantane) for host-guest interaction, and fluorescent labeling units (fluorescein). It was demonstrated that these glycopolymers can insert into cell membranes with high efficiency and their residence time on the membranes can be regulated by controlling their cholesterol content. Furthermore, the behavior of the engineered cells can be controlled by modifying with different functional β-cyclodextrins (CD-X) via host-guest interactions with the adamantane units. Host-guest interactions with the modular polymers were demonstrated using CD-RBITC (X = a rhodamine B isothiocyanate). The glycopolymers were modified with CD-S (X = seven sulfonate groups) and CD-M (X = seven mannose groups) and were then attached, respectively, to the surfaces of mouse embryonic stem cells for the promotion of neural differentiation and to the surfaces of cancer cells for the enhancement of the immune response. The combination of multiple anchors and host-guest interactions provides a widely applicable cell membrane modification platform for a variety of applications.
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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 | 0.001 | 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".