Abstract
Structural and mechanical properties of the tissues are dependent on the physical linkage between cells. E-Cadherin is a key component on this adhesion mechanism and mutations on its coding gene may produce dysfunctional molecules that compromise the cell-cell linkage and increase the risk of cancer.
The stationary distribution of E-Cadherin is characterized by a clear increased concentration at the membrane where it plays its adhesion role. However, for mutated molecules, the traffic dynamics of E-Cadherin is disturbed and different distributions of E-Cadherin across the cell are observed.
In this work a computational tool is proposed to semi-automatically help in the segmentation of cells from microscopy images of fluorescence with tagged E-Cadherin and to compute an image of radial profiles of the molecule distribution from the center of the cell toward the membrane.
The image of radial intensity profiles of E-Cadherin distribution depend on the location of the nucleus and on the specific geometry of each cell which is not related with the functional role of the molecules.
In this paper the radial profiles are geometrically compensated, to cope with shape and size differences among cells, and a representative profile of the tissue is obtained for mutation detection purposes.
Examples with real microscopy images of fluorescence of epithelial cells of the stomach are presented to illustrate the method.
This work was supported by the FCT project [ PEst-OE/EEI/LA0009/2011].
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Simoes-Correia, J., Figueiredo, J., Lopes, R., Stricher, F., Oliveira, C., Serrano, L., Seruca, R.: E-cadherin destabilization accounts for the pathogenicity of missense mutations in hereditary diffuse gastric cancer. PloS One 7(3) (2012)
Paredes, J., Figueiredo, J., Albergaria, A., Oliveira, P., Seruca, R.: Epithelial e- and p cadherins: Role and clinical significance in cancer. Biochimica et Biophysica Acta 1826 (2012)
Suriano, G., Seixas, S., Rocha, J., Seruca, R.: A model to infer the pathogenic significance of cdh1 germline missense variants. J. Mol. Med. (84) (2006)
Fonseca, M., Manjunath, C.: Registration techniques for multisensor remotely sensed imagery. Photogrammetric Engineering and Remote Sensing 14, 1049–1056 (1996)
Zitova, B., Flusser, J.: Image registration methods: a survey. Image and Vision Computing 21(11), 977–1000 (2003)
Sanches, J.M., Marques, J.S.: Joint image registration and volume reconstruction for 3d ultrasound. Pattern Recognition Letters 24(4-5), 791–800 (2003)
Li, S., Wakefield, J., Noble, J.: Automated segmentation and alignment of mitotic nuclei for kymograph visualisation. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, March 30-April 2, pp. 622–625 (2011)
Dzyubachyk, O., Essers, J., van Cappellen, W.A., Baldeyron, C., Inagaki, A., Niessen, W.J., Meijering, E.: Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci. Bioinformatics 26(19), 2424–2430 (2010)
Bonetta, L.: The inside scoop-evaluating gene delivery methods. Nature Methods 2, 875–883 (2005)
Vogel, C.R.: Computational methods for inverse problems. Frontiers in Applied Mathematics (2002)
Moon, T., Stirling, W.: Mathematical methods and algorithms for signal processing. Prentice-Hall (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Esménio, S., Figueiredo, J., Seruca, R., Sanches, J.M. (2013). E-Cadherin Radial Distribution Characterization for Mutation Detection Purposes. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-38628-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38627-5
Online ISBN: 978-3-642-38628-2
eBook Packages: Computer ScienceComputer Science (R0)