ReviewiScience2024
Unlocking the potential of cultivated meat through cell line engineering.
Review in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Highly multiplexed mammalian metabolic engineering with a shotgun approach.Nature biotechnology · 2026Article
- Microbial Hydrolysates as Amino Acid Source in Cell Culture Media for Cellular Agriculture.Biotechnology and bioengineering · 2026Review
- Stem Cells for Cultured Meat: Cell Sources, Lineage Specification, and Biomaterial Scaffolds for Edible Tissue Engineering.International journal of molecular sciences · 2026Review
- Towards Cost-Effective and Sustainable Media Formulations for Terrestrial and Aquatic Cellular Agriculture.Foods (Basel, Switzerland) · 2026Review
- Genomic Monitoring and Engineering Stable and Safe Immortalized Cell Platforms for Industrial Cellular Agriculture.Foods (Basel, Switzerland) · 2026Review
- Cell sources and engineering strategies for cultured meat production: a critical comparative review.Frontiers in nutrition · 2026Review
- From quiescence to hypertrophy: existing and emerging genetic targets to fine-tune myogenesis in cultivated muscle.Frontiers in bioengineering and biotechnology · 2026Review
- Synthetic biology and genome engineering in support of human, agricultural, and environmental security.Frontiers in bioengineering and biotechnology · 2026Article
- Safety Aspects of Cell Culture-Derived Food for Human Consumption.Advances in biochemical engineering/biotechnology · 2026Review
- Enhanced Media Optimize Bovine Myogenesis in 2D and 3D Models for Cultivated Meat Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Pooled CRISPR screens identifies key regulators of bovine stem cell expansion for cultured meat.Communications biology · 2025Article
- Generation of bovine iPSCs from fetal fibroblasts for in vitro myogenesis and cultured meat.Frontiers in nutrition · 2025Article
- Establishment of chicken muscle and adipogenic cell cultures for cultivated meat production.Frontiers in nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cultivated meat has the potential to revolutionize food production, but its progress is hindered by fundamental shortcomings of mammalian cells with respect to industrial-scale bioprocesses. Here, we discuss the essential role of cell line engineering in overcoming these limitations, highlighting the balance between the benefits of enhanced cellular traits and the associated regulatory and consumer acceptance challenges. We believe that careful selection of cell engineering strategies, including both genetic and non-genetic modifications, can address this trade-off and is essential to advancing the field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.