Solid Phase Matrices: Cell-Free Micro-Platform for T Cell Recruitment and Stimulation
Bibliographic record
Abstract
Summary form only given, as follows. Optimal stimulation of antigen specific T cells requires that peptide antigens bound by class I and class II major histocompatibility complex molecules (MHC) are displayed, in conjunction with a variety of costimulatory ligands, on a large surface approximating that of a cell. We have incorporated these principles in the design of cell-free artificial antigen presenting cell surfaces (solid phase matrices, SPMs) constructed on 5 micron latex beads for use in ex vivo T cell stimulation for adoptive immunotherapy and as platforms for T cell vaccines. We demonstrate that naturally expressed or recombinant peptide-MHC complexes and costimulator molecules can be immobilized and displayed simultaneously on the surface of SPMs. Eight or more distinct costimulatory molecules or ligands can be presented on SPMs at physiological densities and the relative density of each ligand can be varied in a precise and independent manner. This allows for control of the contribution of individual ligands relative to others, with the possibility of altering the type of resulting T cell response. The ligands that can be presented on the SPMs include among others: human or mouse class I and class II MHC peptide complexes (antigen specific T cell receptor ligands), B7-1 and 2 (CD28 ligands), 4-1BBL (TNF family costimulator), ICAM-1 (LFA-1 adhesion ligand), CD1d (NKT cell ligand), MICA and Rae-1 antigens (NKG2D costimulatory ligands). All of the immobilized ligands retain their native conformations, since recognition by conformation dependent antibodies is indicated by FACS analysis of the SPMs. Recently, it has been shown that IL-15 receptor alpha (α) can bind the IL-15 cytokine with high affinity and present IL-15 on antigen presenting cells in trans to T cells for stimulation. We are able to display IL-15Rα bound with IL-15 on the SPMs, in addition to peptide-MHC complexes and costimulator ligands to aid T cell responsiveness. We are presently examining the ligand requirements for optimal stimulation of naive and effector/memory T cell subsets. We have found that IL-15Rα bound and presented on the SPM has a rapid and profound effect on the recruitment and binding of T cells to the SPMs. Within 2-4 hours, T cells bind avidly to the SPMs bearing the IL-15Rα-IL-15 complex. The ability of the IL-15R-IL-15 complex to recruit T cells to the SPMs may provide improvement to the utility of SPMs as vaccine vehicles, allowing the attraction of T cells to the SPMs displaying T cell antigens and costimulators, despite the non-motile nature of SPMs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.012 |
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".