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Record W1547741483 · doi:10.1109/icmens.2004.1509011

Solid Phase Matrices: Cell-Free Micro-Platform for T Cell Recruitment and Stimulation

2006· article· en· W1547741483 on OpenAlexaff
Andy I. Kokaji, Kevin P. Kane

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMajor histocompatibility complexAntigenT cellT-cell receptorMHC class ICD28Cell biologyBiologyCD8ChemistryImmune systemImmunology

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.012

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.

Opus teacher head0.071
GPT teacher head0.402
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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