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- W1976482186 abstract "An increasing body of evidence for subdiffusion of biopolymers under typical in vivo conditions has been reported recently. The physical foundation of this subdiffusion remains unidentified although it is commonly ascribed to molecular crowding. Single particle tracking provides crucial information on the mechanisms behind the subdiffusion. In several such experiments the measured mean squared displacement shows a characteristic scatter (e.g., [1,2]). Using the widely accepted continuous time random walk framework we demonstrate that pronounced scatter in time averaged quantities such as the mean squared displacement is no artefact but arises naturally from the nonexistence of a characteristic time scale separating microscopic and macroscopic events [3,4]. An expression for the broad distribution of diffusion coefficients in such measurements is derived and confirmed by simulations. The most crucial finding from our theory is that the subdiffusive nature of the particles will be masked in the time averages: What looks like normal diffusion in an experiment may in reality be subdiffusion in an ageing system. Interpretations of the reported data in [1,2] will be discussed. We provide general guidelines to properly intepret single molecule tracking data. We also argue that ageing properties in biopolymer diffusion in living cells may be advantageous for the accuracy of genetic regulation at minimal concentrations of transcription factors. The physical picture emerging from our theory provides additional support for a more local picture of gene regulation and confirms the importance of colocalisation in the genome. [1] I. Golding and E.C. Cox, Phys. Rev. Lett. 96, 098102 (2006). [2] I.M. Tolic-Noerrelykke et al, Phys. Rev. Lett. 93, 078102 (2004). [3] Y. He, S. Burov, R. Metzler, and E. Barkai, Phys. Rev. Lett. 101, 058101 (2008). [4] M.A. Lomholt, I.M. Zaid, and R. Metzler, Phys. Rev. Lett. 98, 200603 (2007)." @default.
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- W1976482186 date "2009-02-01" @default.
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- W1976482186 title "Pitfalls In Single Particle Tracking In Living Cells" @default.
- W1976482186 doi "https://doi.org/10.1016/j.bpj.2008.12.2884" @default.
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