2020
DOI: 10.1016/j.bpj.2020.05.004
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Protein Diffusion on Charged Biopolymers: DNA versus Microtubule

Abstract: Protein diffusion in lower-dimensional spaces is used for various cellular functions. For example, sliding on DNA is essential for proteins searching for their target sites, and protein diffusion on microtubules is important for proper cell division and neuronal development. On the one hand, these linear diffusion processes are mediated by long-range electrostatic interactions between positively charged proteins and negatively charged biopolymers and have similar characteristic diffusion coefficients. On the o… Show more

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Cited by 14 publications
(25 citation statements)
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“… 30 , 34 , 44 In particular, they successfully predicted the mechanism of linear diffusion and particularly the existence of coupling between translation and rotation. 30 , 32 , 33 , 37 The coarse-grained simulations showed, in a manner consistent with experiments, how changing the asymmetry of the affinity of multidomain proteins to DNA affects the search kinetics. 43 , 46 48 The consequence of mutating charged residues for the diffusion coefficients 49 and for the rate of conversion from nonspecific to specific binding mode is also described by the coarse-grained model; 50 nonetheless, a more elaborate model that includes conformational changes of both the protein and the DNA is required to address further aspects of this process.…”
Section: Methodssupporting
confidence: 71%
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“… 30 , 34 , 44 In particular, they successfully predicted the mechanism of linear diffusion and particularly the existence of coupling between translation and rotation. 30 , 32 , 33 , 37 The coarse-grained simulations showed, in a manner consistent with experiments, how changing the asymmetry of the affinity of multidomain proteins to DNA affects the search kinetics. 43 , 46 48 The consequence of mutating charged residues for the diffusion coefficients 49 and for the rate of conversion from nonspecific to specific binding mode is also described by the coarse-grained model; 50 nonetheless, a more elaborate model that includes conformational changes of both the protein and the DNA is required to address further aspects of this process.…”
Section: Methodssupporting
confidence: 71%
“…We note that various transcription factors and enzymes, either monomeric, dimeric, tetrameric, or multidomain, show diffusion along nonspecific DNA with a diffusion coefficient on the order of 0.01–1 μm/s 2 . 30 , 32 , 34 , 37 , 43 , 44 , 52 Therefore, we hypothesize that the initial search structures of Msh2-Msh6 and Msh2-Msh3 are far more open than in model A to allow sliding along DNA. To build probable conformations of Msh2-Msh6 and Msh2-Msh3 capable of sliding on DNA and characterize their diffusion, we used an ENM-based algorithm to reveal the low-frequency collective modes (normal modes) of the individual monomers (Msh2, Msh3, and Msh6) to predict conformational changes that would create gaps in the dimer.…”
Section: Resultsmentioning
confidence: 99%
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“…To further elucidate the role of electrostatics in linear diffusion and particularly its role at the onset of coupling between rotation and translation during diffusion along DNA, we studied the diffusion of proteins that normally interact electrostatically with microtubules (rather than DNA). Such an investigation can be valuable, given that microtubules are another negatively charged biopolymer 67 and that the linear diffusion coefficients for microtubule-binding proteins sliding along microtubules are similar to the corresponding coefficients for DBPs sliding along DNA, that is, in the range 0.001–1 μm 2 /s depending on the protein’s dimensions. 67 …”
Section: Resultsmentioning
confidence: 99%
“…Such an investigation can be valuable, given that microtubules are another negatively charged biopolymer 67 and that the linear diffusion coefficients for microtubule-binding proteins sliding along microtubules are similar to the corresponding coefficients for DBPs sliding along DNA, that is, in the range 0.001–1 μm 2 /s depending on the protein’s dimensions. 67 …”
Section: Resultsmentioning
confidence: 99%