On the synchrony of morphological and molecular signaling events in cell migration

Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François Vialatte, Andrzej Cichocki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper investigates the dynamics of cell migration, which is the movement of a cell towards a certain target area. More specifically, the objective is to analyze the causal interdependence between cellular- morphological events and molecular-signaling events. To this end, a novel data analysis method is developed: first the local morphological changes and molecular signaling events are determined by means of edge evolution tracking (EET), next the interdependence of those events is quantified through the method of stochastic event synchrony (SES). The proposed method is applied to time-lapse fluorescence resonance energy transfer (FRET) images of Rac1 activity in motile HT1080 cells; the protein Rac1 is well known to induce filamentous structures that enable cells to migrate. Results show a significant delay between local Rac1 activity events and morphological events. This observation provides new insights into the dynamic relationship between cellular- morphological change and molecular-signaling of migrating cells, and may pave the way to novel biophysical models of cell migration.

Original languageEnglish
Title of host publicationAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages469-477
Number of pages9
EditionPART 1
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand
Duration: 25 Nov 200828 Nov 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Neuro-Information Processing, ICONIP 2008
Country/TerritoryNew Zealand
CityAuckland
Period25/11/0828/11/08

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