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Abstract:

Molecular motors are responsible of transporting a wide variety of cargos in the cytoplasm. Current efforts are oriented to characterize the biophysical properties of motors in cells with the aim of elucidating the mechanisms of these nanomachines in the complex cellular environment. In this study, we present an algorithm designed to extract motor step sizes and dwell times between steps from trajectories of motors or cargoes driven by motors in cells. The algorithm is based on finding patterns in the trajectory compatible with the behavior expected for a motor step, i. e., a region of confined motion followed by a jump in the position to another region of confined motion with similar characteristics to the previous one. We show that this algorithm allows the analysis of 2D trajectories even if they present complex motion patterns such as active transport interspersed with diffusion and does not require the assumption of a given step size or dwell period. The confidence on the step detection can be easily obtained and allows the evaluation of the confidence of the dwell and step size distributions. To illustrate the possible applications of this algorithm, we analyzed trajectories of myosin-V driven organelles in living cells. © 2012 Springer Science+Business Media, LLC.

Registro:

Documento: Artículo
Título:Extracting the Stepping Dynamics of Molecular Motors in Living Cells from Trajectories of Single Particles
Autor:Bruno, A.; Bruno, L.; Levi, V.
Filiación:Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 1, Ciudad Universitaria, CP 1428 Ciudad de Buenos Aires, Argentina
Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, CP 1428 Ciudad de Buenos Aires, Argentina
Palabras clave:Dwell time; Molecular motors; Single particle tracking; Stepping dynamics; Xenopus melanophores; myosin V; Xenopus protein; algorithm; animal; article; biology; cell survival; kinetics; melanosome; metabolism; methodology; movement (physiology); transport at the cellular level; Xenopus laevis; Algorithms; Animals; Biological Transport; Cell Survival; Computational Biology; Kinetics; Melanosomes; Movement; Myosin Type V; Xenopus laevis; Xenopus Proteins
Año:2013
Volumen:65
Número:1
Página de inicio:1
Página de fin:11
DOI: http://dx.doi.org/10.1007/s12013-012-9397-3
Título revista:Cell Biochemistry and Biophysics
Título revista abreviado:Cell Biochem. Biophys.
ISSN:10859195
CODEN:CBBIF
CAS:Myosin Type V, 3.6.1.-; Xenopus Proteins
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10859195_v65_n1_p1_Bruno

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Citas:

---------- APA ----------
Bruno, A., Bruno, L. & Levi, V. (2013) . Extracting the Stepping Dynamics of Molecular Motors in Living Cells from Trajectories of Single Particles. Cell Biochemistry and Biophysics, 65(1), 1-11.
http://dx.doi.org/10.1007/s12013-012-9397-3
---------- CHICAGO ----------
Bruno, A., Bruno, L., Levi, V. "Extracting the Stepping Dynamics of Molecular Motors in Living Cells from Trajectories of Single Particles" . Cell Biochemistry and Biophysics 65, no. 1 (2013) : 1-11.
http://dx.doi.org/10.1007/s12013-012-9397-3
---------- MLA ----------
Bruno, A., Bruno, L., Levi, V. "Extracting the Stepping Dynamics of Molecular Motors in Living Cells from Trajectories of Single Particles" . Cell Biochemistry and Biophysics, vol. 65, no. 1, 2013, pp. 1-11.
http://dx.doi.org/10.1007/s12013-012-9397-3
---------- VANCOUVER ----------
Bruno, A., Bruno, L., Levi, V. Extracting the Stepping Dynamics of Molecular Motors in Living Cells from Trajectories of Single Particles. Cell Biochem. Biophys. 2013;65(1):1-11.
http://dx.doi.org/10.1007/s12013-012-9397-3