Simulation and estimation of intra-cellular dynamics and trafficking
2008
Boulanger , J. (Centre National de la Recherche Scientifique, Paris(France). UMR144 Compartimentation et dynamique cellulaires (CDC) -Institut Curie) | Pecot , Thierry (INRA , Jouy-En-Josas (France). UR 0341 Unité de recherche Mathématiques et Informatique Appliquées) | Bouthemy , P. (Institut National de Recherche en Informatique et en Automatique, Rennes(France). Vista Team) | Salamero , J. (Centre National de la Recherche ScientifiqueInstitut Curie, ParisParis(France). UMR144 Compartimentation et dynamique cellulaires (CDC)PICT IBISA) | Sibarita , J.B. (Centre National de la Recherche ScientifiqueInstitut Curie, ParisParis(France). UMR144 Compartimentation et dynamique cellulaires (CDC)PICT IBISA) | Kervrann , Charles (INRA , Jouy-En-Josas (France). UR 0341 Unité de recherche Mathématiques et Informatique Appliquées) | Jens Rittscher (Editeur) | T.C. Wong Stephen (Editeur) | Raghu Machiraju (Editeur)
In this chapter, we present an original modeling framework for membrane trafficking modeling and video-microscopy. Understanding the complexity of cellular processes requires a better knowledge of their dynamic properties and geometric structures. Over the last decade, progresses in cellular and molecular biology as well as in microscopy allow cell visualization while acquiring multidimensional data of their fastly occurring activities. The proposed method is devoted to the analysis of the dynamical content of microscopy image sequences corresponding to dynamical events related to membrane transport. This chapter is organized as follows. In Section 7.1, the major biological issues are introduced, as well as the optical instruments used for investigation. In this chapter, video-microscopy reveals the dynamical behavior of tagged proteins within the living cell. To capture the movements of these proteins, we propose new models to mimic trafficking of proteins within the cell by making the analogy with computer networks or road networks (Section 7.2). In addition, we provide a framework for simulating the foreground and background components observed in real image sequences. Section 7.3 is dedicated to the estimation of the background model. In Section 7.4, we consider the problem of estimating the origin-destination probabilities of the tagged proteins for the trafficking network
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