ArticleCell reports methods2026
Dynamic estimation of metabolic state during CAR T cell production.
Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Are we there yet? The road to faster and more efficient CAR T cell manufacturing.Journal of biological engineering · 2026Review
- Microbioreactor design for eukaryotic cell-based biomedical applications.Frontiers in bioengineering and biotechnology · 2026Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a modeling framework that can perform real-time estimation of per-cell metabolic rates of T cells expanded ex vivo in a reactor. We validate our estimated rates using metabolic assays, show how average rates can be deconvoluted to rates of individual T cell phenotypes, and demonstrate applicability to different reactor types. Applying our tool to the expansion of both healthy and patient-derived cells in a perfusion-based microbioreactor, we offer proof-of-principle to show that correlations exist between early metabolic rates of T cells in culture and cellular attributes related to growth, differentiation, and exhaustion of the final product. Given the biological variation that exists in the growth and dynamics of patient-derived cells in culture, such modeling contributes to the overarching goal of improving the consistency of cell therapy through adaptive process control (APC).
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Registered trials
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