Evidence map›Paper›PMID 39532984›Full record

ArticleCommunications biology2024

Optimisation of cell fate determination for cultivated muscle differentiation.

Lea Melzener, Lieke Schaeken, Marion Fros, Tobias Messmer, Dhruv Raina, Annemarie Kiessling, Tessa van Haaften, Sergio Spaans, Arin Doǧan, Mark J Post and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lea MelzenerMosa Meat B.V., Maastricht, The Netherlands.
Lieke SchaekenMosa Meat B.V., Maastricht, The Netherlands.ORCID 0009-0004-5514-8093
Marion FrosMosa Meat B.V., Maastricht, The Netherlands.
Tobias MessmerMosa Meat B.V., Maastricht, The Netherlands.
Dhruv RainaMosa Meat B.V., Maastricht, The Netherlands.
Annemarie KiesslingMosa Meat B.V., Maastricht, The Netherlands.
Tessa van HaaftenMosa Meat B.V., Maastricht, The Netherlands.
Sergio SpaansMosa Meat B.V., Maastricht, The Netherlands.
Arin DoǧanMosa Meat B.V., Maastricht, The Netherlands.
Mark J PostMosa Meat B.V., Maastricht, The Netherlands.ORCID 0000-0001-9312-2709
Joshua E FlackMosa Meat B.V., Maastricht, The Netherlands. J.E.Flack@tudelft.nl.ORCID 0000-0003-4052-3909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Production of cultivated meat requires defined medium formulations for the robust differentiation of myogenic cells into mature skeletal muscle fibres in vitro. Although these formulations can drive myogenic differentiation levels comparable to serum-starvation-based protocols, the resulting cultures are often heterogeneous, with a significant proportion of cells not participating in myofusion, limiting maturation of the muscle. To address this problem, we employed RNA sequencing to analyse heterogeneity in differentiating bovine satellite cells at single-nucleus resolution, identifying distinct cellular subpopulations including proliferative cells that fail to exit the cell cycle and quiescent 'reserve cells' that do not commit to myogenic differentiation. Our findings indicate that the MEK/ERK, NOTCH, and RXR pathways are active during the initial stages of myogenic cell fate determination, and by targeting these pathways, we can promote cell cycle exit while reducing reserve cell formation. This optimised medium formulation consistently yields fusion indices close to 100% in 2D culture. Furthermore, we demonstrate that these conditions enhance myotube formation and actomyosin accumulation in 3D bovine skeletal muscle constructs, providing proof of principle for the generation of highly differentiated cultivated muscle with excellent mimicry to traditional muscle.

Indexed as

Cell DifferentiationMuscle DevelopmentAnimalsCattleCell Culture TechniquesCells, CulturedMuscle Fibers, SkeletalMuscle, SkeletalSatellite Cells, Skeletal Muscle

Identifiers

PMID39532984
PMCPMC11557827

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.