bioRxivJClub
A computational investigation of pathways for ex vivo differentiation and dysfunction of healthy and patient T cells
bioRxiv · · Preprint · Open access
Lacy, Binenbaum + 2 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Cancer alters T cell differentiation kinetics rather than the structure of the differentiation pathway during short-term ex vivo expansion, as supported by model fits to healthy and patient data.
- Why it matters: Limiting differentiation into exhaustion-associated phenotypes is a key challenge in adoptive T cell therapy, and biological literature uncertainty motivates model-informed hypothesis testing.
- What they did: The study constructs thousands of phenotype-to-phenotype pathways from literature, formulates ordinary differential equation models, fits them to ex vivo expansion data from healthy individuals and cancer patients, and accepts the closest-fitting models.
- The result: Accepted models suggest T cells do not differentiate unidirectionally ex vivo and instead dynamically switch between functional phenotypes; effector-like proliferation is unnecessary, and effector-like cells may upregulate inhibitory receptors linked to exhaustion.
The findingWhy it mattersWhat they didThe result
- Open access