Distributions of lifetime and maximum size of abortive clathrin-coated pits.

Phys Rev E Stat Nonlin Soft Matter Phys

Program in Physical Biology, Eunice Kennedy Shriver Institute of Child Health, and Human Development, National Institutes of Health, Bethesda, Maryland 20892, USA.

Published: September 2012

AI Article Synopsis

  • Clathrin-mediated endocytosis is a vital process for eukaryotic cells to take in essential substances through clathrin-coated pits (CCPs) in the cell membrane.
  • Despite progress in understanding CCP assembly, the complete mechanism remains unclear, prompting recent studies utilizing fluorescence microscopy to explore statistical properties of CCP formation.
  • This paper introduces a stochastic model to analyze experimental data, providing analytical expressions for the maximum size and lifetimes of abortive CCPs, which align well with kinetic Monte Carlo simulations, potentially enhancing insights into CCP assembly mechanisms.

Article Abstract

Clathrin-mediated endocytosis is a complex process through which eukaryotic cells internalize nutrients, antigens, growth factors, pathogens, etc. The process occurs via the formation of invaginations on the cell membrane, called clathrin-coated pits (CCPs). Over the years, much has been learned about the mechanism of CCP assembly, but a complete understanding of the assembly process still remains elusive. In recent years, using fluorescence microscopy, studies have been done to determine the statistical properties of CCP formation. In this paper, using a recently proposed coarse-grained, stochastic model of CCP assembly [Banerjee, Berezhkovskii, and Nossal, Biophys. J. 102, 2725 (2012)], we suggest new ways of analyzing such experimental data. To be more specific, we derive analytical expressions for the distribution of maximum size of abortive CCPs, and the probability density of their lifetimes. Our results show how these functions depend on the kinetic and energetic parameters characterizing the assembly process, and therefore could be useful in extracting information about the mechanism of CCP assembly from experimental data. We find excellent agreement between our analytical results and those obtained from kinetic Monte Carlo simulations of the assembly process.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264111PMC
http://dx.doi.org/10.1103/PhysRevE.86.031907DOI Listing

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