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</script>The kinesin family proteins are often studied as prototypical molecular motors; a deeper understanding of them can illuminate regulation of intracellular transport. It is typically assumed that they function identically. Here we find that this assumption of homogeneous function appears incorrect: variation among motors’ velocities in vivo and in vitro is larger than the stochastic variation expected for an ensemble of “identical” motors. When moving on microtubules, slow and fast motors are persistently slow, and fast, respectively. We develop theory that provides quantitative criteria to determine whether the observed single‐molecule variation is too large to be generated from an ensemble of identical molecules. To analyze such heterogeneity, we group traces into homogeneous sub‐ensembles. Motility studies varying the temperature, pH and glycerol concentration suggest at least 2 distinct functional states that are independently affected by external conditions. We end by investigating the functional ramifications of such heterogeneity through Monte‐Carlo multi‐motor simulations.
Kinesins, Cell Biology, Molecular Dynamics Simulation, kinesin, temperature dependence of kinesin motility, Biochemistry, molecular motors, Motion, Protein Domains, Structural Biology, proteins in glycerol and altered pH, Cell Line, Tumor, Genetics, Journal Article, Animals, Drosophila Proteins, Humans, Drosophila, Molecular Biology, kinesin velocity heterogeneity
Kinesins, Cell Biology, Molecular Dynamics Simulation, kinesin, temperature dependence of kinesin motility, Biochemistry, molecular motors, Motion, Protein Domains, Structural Biology, proteins in glycerol and altered pH, Cell Line, Tumor, Genetics, Journal Article, Animals, Drosophila Proteins, Humans, Drosophila, Molecular Biology, kinesin velocity heterogeneity
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
