title: Analysis of microtubule curvature.
abstract: The microtubule cytoskeleton in living cells generate and resist mechanical forces to mediate fundamental cell processes, including cell division and migration. Recent advances in digital fluorescence microscopy have enabled the direct observation of bending of individual microtubules in living cells, which has enabled quantitative estimation of the mechanical state of the microtubule array. Although a variety of mechanisms have been proposed, the precise origins of microtubule deformation in living cells remain largely obscure. To investigate these mechanisms and their relative importance in cellular processes, a method is needed to accurately quantify microtubule bending within living cells. Here we describe a method for quantification of bending, using digital fluorescence microscope images to estimate the distribution of curvature in the microtubule. Digital images of individual microtubules can be used to obtain a set of discrete x-y coordinates along the microtubule contour, which is then used to estimate the curvature distribution. Due to system noise and digitization error, the estimate will be inaccurate to some degree. To quantify the inaccuracy, a computational model is used to simulate both the bending of thermally driven microtubules and their observation by digital fluorescence microscopy. This allows for direct comparison between experimental and simulated images, a method which we call model convolution microscopy. We assess the accuracy of various methods and present a suitable method for estimating the curvature distribution for thermally driven semiflexible polymers. Finally, we discuss extensions of the method to quantify microtubule curvature in living cells.
authors.affiliation: Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA.
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Bicek
authors.forename: Erkan
authors.initials: E
authors.lastname: Tüzel
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Kroll
authors.forename: David J
authors.initials: DJ
authors.lastname: Odde
mesh_terms: D003198:Computer Simulation; D004847:Epithelial Cells / Q000737:chemistry; D049452:Green Fluorescent Proteins; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008870:Microtubules / Q000737:chemistry*; D015203:Reproducibility of Results
chemical_list: C485184:enhanced green fluorescent protein; D049452:Green Fluorescent Proteins