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TITLE |
AUTHORS |
KEYWORDS |
MATERIALS & METHODS
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MICROSCOPIC
TECHNIQUES |
SPECIES |
MORPHOLOGY |
CELL
LINE |
| 629 |
Analysis
of Transient Behavior in Complex Trajectories: Application to Secretory Vesicle Dynamics |
Sebastien
Huet, Erdem Karatekin, Viet Samuel Tran, Isabelle Fanget, Sophie Cribier, Jean-Pierre Henry |
transient
behavior, stalled periods, diffusion coefficient, secretory vesicle dynamics, human carcinoid
BON cells, dynamical subplasmalemmal organization |
All TIRF experiments were performed
on a BON NPY-GFP clone, named BC6,which was selected and plated on uncoated glass-bottom dishes
(P50G-1.5-14-F, MatTek Cultureware, Ashland, MA).
|
fluorescence
microscopy, TIRF microscopy |
human |
tumor-like |
BON |
| |
Analysis of trajectories of dynamical
biological objects, such as breeding ants or cell organelles, is essential to reveal the interactions
they develop with their environments. Many previous works used a global characterization based
on parameters calculated for entire trajectories. In cases where transient behavior was detected,
this usually concerned only a particular type, such as confinement or directed motion. However,
these approaches are not appropriate in situations in which the tracked objects may display
many different types of transient motion. We have developed a method to exhaustively analyze
different kinds of transient behavior that the tracked objects may exhibit. The method discriminates
stalled periods, constrained and directed motions from random dynamics by evaluating the diffusion
coefficient, the mean-square displacement curvature, and the trajectory asymmetry along individual
trajectories. To detect transient motions of various durations, these parameters are calculated
along trajectories using a rolling analysis window whose width is variable. The method was applied
to the study of secretory vesicle dynamics in the subplasmalemmal region of human carcinoid
BON cells. Analysis of transitions between transient motion periods, combined with plausible
assumptions about the origin of each motion type, leads to a model of dynamical subplasmalemmal
organization. |
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