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10-7: CLOSED CULTURE SYSTEMS FOR STEM CELL-DERIVED ISLET BIOMANUFACTURING

2025· article· en· W4411226911 on OpenAlexaff
Corinne A. Hoesli, Praveen Kumar Raju Pedabaliyarasimhuni, Balaji Ramachandran, Florent Lemaire, Pierre‐Luc Girard‐Lauriault, Lyne Khair, Katie Campbell, Nicolas Drolet, Steven Paraskevas

Bibliographic record

VenueTransplantation · 2025
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsBiomanufacturingIsletStem cellCell biologyBiologyBiotechnologyInsulin

Abstract

fetched live from OpenAlex

Introduction: Islet transplantation, including stem cell-derived islets (SC-islets), show promise as long-term treatment for type 1 diabetes. Published protocols for SC-islet biomanufacturing typically follow 7 stages of directed differentiation, either using adherent culture at initial stages before transitioning into suspension, or with all steps performed in suspension. Preclinical research applies protocols with several manual handling steps, typically applying functionally open culture systems such as well plates or T-flasks. Many protocols also apply controlled aggregation systems to generate SC-islets in the transition to suspension. Clinical translation will require transfer to vessels and approaches amenable to current good manufacturing practices (cGMP). We describe a series of closed culture vessels made from fluorinated ethylene propylene (FEP), a material that is chemically inert with low leachables and high oxygen permeability[1,2]. Methods: FEP culture vessels were applied systematically at different stages of the SC-islet biomanufacturing process. We investigated pluripotent stem cell culture in adherent cultures on FEP, differentiation in adherent cultures up to pancreatic endoderm (Stage 4 cells), controlled aggregation in FEP microwells, and finally suspension culture of SC-islets. Results: No significant differences between FEP vessels and tissue culture polystyrene controls were observed at Stage 1 (definitive endoderm, >95% SOX17+). Optimization of handling procedures allowed successful production of Stage 4 cells (>50% PDX1+NKX6.1+) in FEP vessels. As compared to a commercial controlled aggregation system, FEP microwells offered a simplified workflow without the need for centrifugation steps nor addition of anti-adhesion solutions, while achieving uniform aggregate sizes and high viability. Finite element models of oxygen transport (COMSOL Multiphysics) show an advantage of FEP over the commercial system in terms of oxygen supply to the aggregated cells. Finally, optimization of mixing conditions and vessel geometries led to promise in maintaining SC-islets in suspension. Conclusions: Closed culture vessels made from FEP may offer a versatile end-to-end platform for SC-islet biomanufacturing under cGMP.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.013
GPT teacher head0.257
Teacher spread0.243 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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