Abstract
We present a fitting method applied to high resolution two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). The goal of this technique is to improve protein quantification by 2D-PAGE modeling. Two-dimensional gaussian functions (2D-Gaussian) have been used to model protein patterns contained in a 2D-PAGE. The patterns are sequentially approximated by a 2D-Gaussian. This is performed, first, by a least square fitting algorithm (linear method); then, by a conjugate gradient minimization algorithm (non-linear method). Results of this method are discussed.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Anderson N.G. and Anderson L: Human Protein Index. Clin Chem. 28, 739–748, (1982)
Hochtrasser D.F., Appel R.D., Vargas J.R., Perrier R., Ravier F., Funk M., Pellegrini, C., Müller A. F. and Sherrer J-R: Clinical Molecular Scanner: The MELANIE Project, MD computing, 8, 85–91, (1991)
Appel R.D., Hochtrasser D.F., Funk M., Vargas J.R., Pellegrini C., Muller A.F., Scherrer J-R: The MELANIE project — From a Biopsy to Automatic Protein Map Interpretation by Computer, Electrophoresis, 91, 12. 722–735 (1991)
Taylor J., Anderson N. L., Coulter B.P., et al: Estimation of two-dimensional electrophoretic spot intensities and positions by modeling. Electrophoresis, 79, 329–339 (1979)
Garrels J.I: Two dimensional electrophoresis and computer analysis of proteins synthesized by clonal cell lines. J. Biol. Chem. 254, 7961–7977 (1979)
Lempkin P.F., and Lipkin L.E: GELLAB: A computer system for two-dimensional gel electrophoresis analysis. III. Multiple two dimensional gel analysis. Comput. Biomed. Res. 14, 407–446 (1981)
Brown W.T. and Ezer A: A Computer Program Using Gaussian Fitting for Evaluation of Two-Dimensional Gels. Clin. Chem. 28, 1041–1044 (1982)
Lutin W.A., Kyle C.F., and Freeman, J.A: Quantification of brain proteins by computer-analyzed two dimensional electrophoresis. Electrophoresis, 78, 93–106, (1979)
Polak, E: Computational Methods in Optimization, Academic Press N.Y. (1971)
Brent, Richard P: Algorithms for Minimization without Derivatives, Englewood Cliffs, Prentice-Hall, N.J. (1973)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vargas, J.R., Appel, R.D., Hochstrasser, D.F., Pellegrini, C. (1993). Modeling and quantification of protein maps by Gaussian fitting. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_84
Download citation
DOI: https://doi.org/10.1007/3-540-57233-3_84
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-57233-6
Online ISBN: 978-3-540-47980-2
eBook Packages: Springer Book Archive