Polyphenol‐Scaffolded Modular Assembly of Heterotypic Cell–Cell Assemblies for Potentiating Cancer Immunotherapy
Bibliographic record
Abstract
Cells existing in the form of clusters often exhibit distinct biological functions from their single-cell counterparts. However, the ability to modulate cell-cell interactions among multiple cell types through molecular scaffolds remains an ongoing challenge. Here, a supramolecular phenolic network on surfaces of live cells designed is engineered to act as modular scaffolds that promote intercellular interactions, presenting a universal platform for the construction of cell-cell assemblies (CCAs). Utilizing the inherent cell surface affinity of supramolecular phenolic network modules, a series of heterotypic CCAs is efficiently established by assembling five distinct microorganisms and five types of mammalian cells. A specific application of CCAs with the combination of L. casei and macrophages (L. casei@Mφ) is highlighted for enhanced cancer immunotherapy. Upon intravenous administration, L. casei@Mφ allows the chemotactic Mφ to facilitate the accumulation of L. casei at the tumor. The accumulated L. casei enables the polarization of tumor-associated Mφ toward a pro-inflammatory phenotype, markedly improving the immunotherapeutic response, slowing tumor progression, and mitigating lung metastasis. This work demonstrates the potential of polyphenol-scaffolded modular assembly in manipulating cell-cell interactions to enhance multicellular cooperation, offering a general approach to controlling complex cellular behaviors.
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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".