help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Originally published as Biophys J. BioFAST on March 24, 2006.
doi:10.1529/biophysj.106.082875
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplement
Right arrow All Versions of this Article:
biophysj.106.082875v1
90/10/L67    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Dinh, A.-T.
Right arrow Articles by Mitragotri, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Dinh, A.-T.
Right arrow Articles by Mitragotri, S.
Biophysical Journal 90:L67-L69 (2006)
© 2006 The Biophysical Society

Theory of Spatial Patterns of Intracellular Organelles

Anh-Tuan Dinh, Chinmay Pangarkar, Theo Theofanous and Samir Mitragotri

Department of Chemical Engineering, University of California, Santa Barbara, California 93106

Correspondence: Address reprint requests and inquiries to Prof. Samir Mitragotri, Dept. of Chemical Engineering, University of California, Santa Barbara, CA 93106. Tel.: 805-893-7532; Fax: 805-893-4731; E-mail: samir{at}engineering.ucsb.edu.

Here we report on a generalized theory of spatial patterns of intracellular organelles, which are controlled by cells using cytoskeleton-based movements powered by molecular motors. The theory reveals that organelles exhibit one of the four distinct, stable patterns, namely aggregation, hyperdispersion, radial dispersion, and areal dispersion. Existence of specific patterns is determined by the contributions from three transport mechanisms, characterized by two Peclet numbers. The predicted patterns compare well with experimental data. This study provides a firm theoretical ground for classification of spatial patterns of organelles and understanding their regulation by cells.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2006 by the Biophysical Society.