論文

査読有り
2010年10月

A stochastic model of neuronal growth cone guidance regulated by multiple sensors

JOURNAL OF THEORETICAL BIOLOGY
  • Taichiro Kobayashi
  • ,
  • Kenshi Terajima
  • ,
  • Motohiro Nozumi
  • ,
  • Michihiro Igarashi
  • ,
  • Kouhei Akazawa

266
4
開始ページ
712
終了ページ
722
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.jtbi.2010.07.036
出版者・発行元
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

Neuronal growth cones migrate directionally under the control of axon guidance molecules, thereby forming synapses in the developing brain. The signal transduction system by which a growth cone detects surrounding guidance molecules, analyzes the detected signals, and then determines the overall behavior remains undetermined. In this study, we describe a novel stochastic model of this behavior that utilizes multiple sensors on filopodia to respond to guidance molecules. Overall growth cone behavior is determined by using only the concentration gradients of guidance molecules in the immediate vicinity of each sensor. The detected signal at each sensor, which is treated as a vector quantity, is sent to the growth cone center and then integrated to determine axonal growth in the next step by means of a simple vector operation. We compared the results of computer simulations of axonal growth with observations of actual axonal growth from co-culture experiments using olfactory bulb and septum. The probabilistic distributions of axonal growth generated by the computer simulation were consistent with those obtained from the culture experiments, indicating that our model accurately simulates growth cone behavior. We believe that this model will be useful for elucidating the as yet unknown mechanisms responsible for axonal growth in vivo. (c) 2010 Elsevier Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.jtbi.2010.07.036
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/20688081
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000282252900024&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.jtbi.2010.07.036
  • ISSN : 0022-5193
  • PubMed ID : 20688081
  • Web of Science ID : WOS:000282252900024

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