The stochastic search dynamics of interneuron migration

Britto, Joanne M., Johnston, Leigh A. and Tans, Seong-Seng (2009) The stochastic search dynamics of interneuron migration. Biophysical Journal, 97 3: 699-709. doi:10.1016/j.bpj.2009.04.064

Author Britto, Joanne M.
Johnston, Leigh A.
Tans, Seong-Seng
Title The stochastic search dynamics of interneuron migration
Journal name Biophysical Journal   Check publisher's open access policy
ISSN 0006-3495
Publication date 2009
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.bpj.2009.04.064
Open Access Status
Volume 97
Issue 3
Start page 699
End page 709
Total pages 11
Place of publication Louis, MO United States
Publisher Cell Press
Collection year 2009
Language eng
Subject 1304 Biophysics
Abstract Migration is a dynamic process in which a cell searches the environment and translates acquired information into somal advancement. In particular, interneuron migration during development is accomplished by two distinct processes: the extension of neurites tipped with growth cones; and nucleus translocation, termed nucleokinesis. The primary purpose of our study is to investigate neurite branching and nucleokinesis using high-resolution time-lapse confocal microscopy and computational modeling. We demonstrate that nucleokinesis is accurately modeled by a spring-dashpot system and that neurite branching is independent of the nucleokinesis event, and displays the dynamics of a stochastic birth-death process. This is in contrast to traditional biological descriptions, which suggest a closer relationship between the two migratory mechanisms. Our models are validated on independent data sets acquired using two different imaging protocols, and are shown to be robust to alterations in guidance cues and cellular migratory mechanisms, through treatment with brain-derived neurotrophic factor, neurotrophin-4, and blebbistatin. We postulate that the stochastic branch dynamics exhibited by interneurons undergoing guidance-directed migration permit efficient exploration of the environment.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 27 Oct 2014, 17:17:51 EST by Sylvie Pichelin on behalf of Queensland Brain Institute