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Home > Mathematics and Science books > Biology, life sciences > Analyses of Microtubule Dynamics as Quantitative Readout of Cytoskeletal Processes
Analyses of Microtubule Dynamics as Quantitative Readout of Cytoskeletal Processes

Analyses of Microtubule Dynamics as Quantitative Readout of Cytoskeletal Processes


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About the Book

The cytoskeleton of eukaryotic cells is a highly dynamic structure that maintains cell shape, enables cellular motion, and plays important roles in intracellular transport and cell division. Eukaryotic cells contain three main kinds of cytoskeletal filaments: actin, intermediate filaments, and microtubules. All of these cytoskeletal filaments dynamically assemble from smaller subunits, and precise spatiotemporal control of cytoskeleton assembly dynamics is essential for many cellular processes including mitosis, cell migration and polarity, and vesicular transport. Cytoskeletal dynamics can be visualized by live cell microscopy of cells containing fluorescently labeled subunits. Such time-lapse sequences contain information about assembly dynamics, for example polymerization and depolymerization of individual microtubules, as well as information about movements of higher order structures that are reported by stochastic incorporation of low amounts of fluorescent labels, for example in fluorescent speckle microscopy of spindle microtubule flux. However, one of the main challenges of cytoskeletal cell biology remains the quantitative analysis of such data. This dissertation presents the technology behind two sets of computer vision tools for automated feature detection and tracking, and their biological applications to the analysis of fluorescently labeled cytoskeletal proteins. Both software packages have been developed specifically to analyze microtubule dynamics in living cells, but can be applied to other motion tracking problems. The first chapter discusses the challenge of handling diffraction limited stochastic objects in fluorescent speckle microscopy image sequences. The remaining two chapters deal with the processing of fluorescently labeled microtubule end-binding proteins to analyze microtubule polymerization dynamics, and describe a novel, indirect method for computing parameters of microtubule dynamics beyond simple measurements of growth rate. This work aims to develop tools for computational cell biology that are unbiased, and in contrast to human vision deliver reliable and statistically representative results. Specifically, the last chapter demonstrates the ability of computer-based analysis to distinguish between weak disease phenotypes and establish links between microtubule dynamics and a concrete pathological mutation.


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Product Details
  • ISBN-13: 9781243770264
  • Publisher: Proquest, Umi Dissertation Publishing
  • Publisher Imprint: Proquest, Umi Dissertation Publishing
  • Height: 254 mm
  • Weight: 440 gr
  • ISBN-10: 1243770260
  • Publisher Date: 01 Sep 2011
  • Binding: Paperback
  • Spine Width: 14 mm
  • Width: 203 mm


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