Abstract
The cytoskeleton is a dynamic scaffolding maintaining cell stability and motility. Keratin filaments form cytoskeletal networks in the cytoplasm of epithelial cells. Genetic mutations of keratin genes have been implicated in human skin diseases, such as epidermolysis bullosa simplex. Keratin network organization is severely impaired in these instances resulting in the formation of prominent granular aggregates. To gain an understanding of the pathomechanisms underlying keratin granule formation and to screen for factors affecting this process, an automated segmentation routine of keratin granules is proposed in this paper. As such, the presented method holds a lot of potential for an objective assessment of keratin organization to improve treatment of genetic keratinopathies.
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References
Strnad P, Stumptner C, Zatloukal K, et al. Intermediate filament cytoskeleton of the liver in health and disease. Histochem Cell Biol. 2008;129(6):735–49.
Windoffer R, Beil M, Magin TM, et al. Cytoskeleton in motion: the dynamics of keratin intermediate filaments in epithelia. J Cell Biol. 2011;194:669–78.
Chamcheu J, Siddiqui I, Syed D, et al. Keratin gene mutations in disorders of human skin and its appendages. Arch Biochem Biophys. 2011;508:123–37.
Haines RL, Lane EB. Keratins and disease at a glance. J Cell Sci. 2012;125:3923–8.
Herberich G, Würflinger T, Sechi A, et al. Fluorescence microscopic imaging and image analysis of the cytoskeleton. Signals Syst Comput ASILOMAR. 2010; p. 1359–63.
Lichtenstein N, Geiger B, Kam Z. Quantitative analysis of cytoskeletal organization by digital fluorescent microscopy. Cytometry A. 2003;54 A:8–18.
Kröger C, Loschke F, Schwarz N, et al. Keratins control intercellular adhesion involving PKC-α-mediated desmoplakin phosphorylation. J Cell Biol. 2013;201(5):681–92.
Zhang B, Zerubia J, Olivo-Marin JC. Gaussian approximations of fluorescence microscope point-spread function models. Appl Opt. 2007;46(10):1819–29.
Branch MA, Coleman MA, Li Y. A subspace, interior, and conjugate gradient method for large-scale bound-constrained minimization problems. SIAM J Sci Comput. 1999;21:1–23.
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Eschweiler, D. et al. (2016). Detection and Quantification of Cytoskeletal Granules. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2016. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49465-3_46
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DOI: https://doi.org/10.1007/978-3-662-49465-3_46
Publisher Name: Springer Vieweg, Berlin, Heidelberg
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