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1.
J Phys Chem Lett ; 10(11): 3071-3079, 2019 Jun 06.
Article in English | MEDLINE | ID: mdl-31117686

ABSTRACT

Vesicle transport conducted by motor protein multiplexes (MPMs), which is ubiquitous among eukaryotes, shows anomalous and stochastic dynamics qualitatively different from the dynamics of thermal motion and artificial active matter; the relationship between in vivo vesicle-delivery dynamics and the underlying physicochemical processes is not yet quantitatively understood. Addressing this issue, we perform accurate tracking of individual vesicles, containing upconverting nanoparticles, transported by kinesin-dynein-multiplexes along axonal microtubules. The mean-square-displacement of vesicles along the microtubule exhibits unusual dynamic phase transitions that are seemingly inconsistent with the scaling behavior of the mean-first-passage time over the travel length. These paradoxical results and the vesicle displacement distribution are quantitatively explained and predicted by a multimode MPM model, developed in the current work, where ATP-hydrolysis-coupled motion of MPM has both unidirectional and bidirectional modes.


Subject(s)
Dyneins/metabolism , Kinesins/metabolism , Multivesicular Bodies/metabolism , Adenosine Triphosphate/metabolism , Axonal Transport , Biological Transport, Active , Cell Line , Humans , Hydrolysis , Kinetics , Microtubules/metabolism , Models, Biological , Nanoparticles/metabolism
3.
J Phys Chem Lett ; 8(13): 3152-3158, 2017 Jul 06.
Article in English | MEDLINE | ID: mdl-28609615

ABSTRACT

Enzyme-to-enzyme variation in the catalytic rate is ubiquitous among single enzymes created from the same genetic information, which persists over the lifetimes of living cells. Despite advances in single-enzyme technologies, the lack of an enzyme reaction model accounting for the heterogeneous activity of single enzymes has hindered a quantitative understanding of the nonclassical stochastic outcome of single enzyme systems. Here we present a new statistical kinetics and exactly solvable models for clonal yet heterogeneous enzymes with possibly nonergodic state dynamics and state-dependent reactivity, which enable a quantitative understanding of modern single-enzyme experimental results for the mean and fluctuation in the number of product molecules created by single enzymes. We also propose a new experimental measure of the heterogeneity and nonergodicity for a system of enzymes.


Subject(s)
Enzymes/chemistry , Models, Chemical , Algorithms , Biocatalysis , Enzymes/metabolism , Kinetics , Time Factors
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