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Dissecting Particle Uptake Heterogeneity in a Cell Population Using Bayesian Analysis.

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Cell size and transporter density influence nanomaterial uptake variability. Smaller cells show more uptake heterogeneity due to random transporter variations, while larger cells exhibit more uniform uptake.

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Area of Science:

  • Cell biology
  • Biophysics
  • Nanotechnology

Background:

  • Cellular uptake of nanomaterials, peptides, and nutrients is highly variable.
  • This variability stems from differences in cellular endocytic capacity.
  • Previous work linked endocytic capacity to cell size and transporter density.

Purpose of the Study:

  • To investigate the independent contributions of cell size and transporter density to cellular uptake heterogeneity.
  • To model the relationship between cell size, transporter density, and endocytic variability.
  • To analyze the stochastic nature of the exponent governing transporter density decay with cell radius.

Main Methods:

  • Development of a stochastic model to analyze cell population heterogeneity.
  • Application of Bayesian analysis to characterize cell-size-dependent distributions.
  • Analysis of particle uptake in MDA-MB-231 breast cancer cells.

Main Results:

  • Smaller cells exhibit greater endocytic heterogeneity due to higher stochastic variations in transporter density.
  • Larger cells display more uniform uptake with less stochastic variation in transporter density.
  • The exponent (α) in the power-law relationship (n ∼ r^α) is a random variable dependent on cell size (r).

Conclusions:

  • Cell size and the stochasticity of transporter distribution are key drivers of cellular uptake heterogeneity.
  • The findings provide a quantitative framework for understanding and predicting cell-to-cell variability in nanomaterial uptake.
  • This research offers insights into optimizing drug delivery and understanding biological processes at the single-cell level.