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Record W4412707913 · doi:10.1038/s41538-025-00498-5

Microcarrier-seeded muscle cells exhibit delayed differentiation in simulated microgravity compared to a terrestrial bioreactor

2025· article· en· W4412707913 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenpj Science of Food · 2025
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMicrocarrierBioreactorSeedingCell biologyChemistryBiologyEngineeringAerospace engineeringCellBotanyBiochemistry

Abstract

fetched live from OpenAlex

This study explores the feasibility of microcarrier-seeded muscle cell expansion and differentiation in simulated microgravity (µG) conditions, aiming to develop a proof-of-concept for producing cultivated meat in space. Gelatin microcarriers supported C2C12 expansion and myogenesis in static culture. The microcarriers were cultured in 1G (stirred bioreactor) and simulated µG bioreactors. µG slowed down the cell expansion, while the 1G condition showed a significant increase in cell expansion. Cells exhibited nuclear elongation and extended cell bodies over 7 days in both 1G and µG conditions. Flow cytometry and real-time polymerase chain reaction (RT-PCR) revealed enhanced myogenesis in both 1G and µG, though differentiation was delayed and gene expression significantly lower under µG. These results suggest that while µG initiates differentiation, the process is primarily limited to early stages. Despite the slower myogenesis, it remains feasible, and future research should focus on culture conditions to enhance muscle cell functionality in µG.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.172
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.294
Teacher spread0.280 · 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