ArticleProceedings of the National Academy of Sciences of the United States of America2021
Scaling of joint mass and metabolism fluctuations in in silico cell-laden spheroids.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Passage-Dependent Size Distributions of Human-Derived Cells: Implications for Metabolic Assays.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Evolvoid: a genetic algorithm for shaping optimal cellular constructs.Journal of biological engineering · 2026Article
- Pillar arrays as tunable interfacial barriers for microphysiological systems.Communications engineering · 2025Article
- A stochastic theory of urban metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Toward a metabolic theory of catchments: Scaling of water and carbon fluxes with size.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Size-related variability of oxygen consumption rates in individual human hepatic cells.Lab on a chip · 2024Article
- A sense of proximity: Cell packing modulates oxygen consumption.APL bioengineering · 2023Article
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6 authors.
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Abstract
Variations and fluctuations are characteristic features of biological systems and are also manifested in cell cultures. Here, we describe a computational pipeline for identifying the range of three-dimensional (3D) cell-aggregate sizes in which nonisometric scaling emerges in the presence of joint mass and metabolic rate fluctuations. The 3D cell-laden spheroids with size and single-cell metabolic rates described by probability density functions were randomly generated in silico. The distributions of the resulting metabolic rates of the spheroids were computed by modeling oxygen diffusion and reaction. Then, a method for estimating scaling exponents of correlated variables through statistically significant data collapse of joint probability distributions was developed. The method was used to identify a physiologically relevant range of spheroid sizes, where both nonisometric scaling and a minimum oxygen concentration (0.04 mol⋅m
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