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  • Temporal heterogeneity in single-cell gene expression and mechanical properties during adipogenic differentiation.

Temporal heterogeneity in single-cell gene expression and mechanical properties during adipogenic differentiation.

Journal of biomechanics (2015-02-17)
Nicholas R Labriola, Eric M Darling
ABSTRACT

Adipose-derived stem/stromal cells (ASCs) respond heterogeneously when exposed to lineage-specific induction medium. Variable responses at the single-cell level can be observed in the production of lineage-specific metabolites, expression of mRNA transcripts, and adoption of mechanical phenotypes. Understanding the relationship between the biological and mechanical characteristics for individual ASCs is crucial for interpreting how cellular heterogeneity affects the differentiation process. The goal of the current study was to monitor the gene expression of peroxisome proliferator receptor gamma (PPARG) in adipogenically differentiating ASC populations over two weeks, while also characterizing the expression-associated mechanical properties of individual cells using atomic force microscopy (AFM). Results showed that ASC mechanical properties did not change significantly over time in either adipogenic or control medium; however, cells expressing PPARG exhibited significantly greater compliance and fluidity compared to those lacking expression in both adipogenic and control media environments. The percent of PPARG+ cells in adipogenic samples increased over time but stayed relatively constant in controls. Previous reports of a slow, gradual change in cellular mechanical properties are explained by the increase in the number of positively differentiating cells in a sample rather than being reflective of actual, single-cell mechanical property changes. Cytoskeletal remodeling was more prevalent in adipogenic samples than controls, likely driving the adoption of a more compliant mechanical phenotype and upregulation of PPARG. The combined results reinforce the importance of understanding single-cell characteristics, in the context of heterogeneity, to provide more accurate interpretations of biological phenomena such as stem cell differentiation.

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