Human Mammary Epithelial Cells Exhibit a Bimodal Correlated Random Walk Pattern

Potdar, Alka A.; Jeon, Junhwan; Weaver, Alissa M.; Quaranta, Vito; Cummings, Peter T.

doi:10.1371/journal.pone.0009636

Title: Human Mammary Epithelial Cells Exhibit a Bimodal Correlated Random Walk Pattern

Journal Article · Wed Mar 10 00:00:00 EST 2010 · PLoS ONE

DOI:https://doi.org/10.1371/journal.pone.0009636· OSTI ID:1627399

Potdar, Alka A. ^[1]; Jeon, Junhwan ^[1]; Weaver, Alissa M. ^[2]; Quaranta, Vito ^[2]; Cummings, Peter T. ^[3]

Vanderbilt University, Nashville, TN (United States); Vanderbilt Integrative Cancer Biology Center, Nashville, TN (United States)
Vanderbilt Integrative Cancer Biology Center, Nashville, TN (United States); Vanderbilt University, Nashville, TN (United States)
Vanderbilt University, Nashville, TN (United States); Vanderbilt Integrative Cancer Biology Center, Nashville, TN (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Organisms, at scales ranging from unicellular to mammals, have been known to exhibit foraging behavior described by random walks whose segments confirm to Lévy or exponential distributions. For the first time, we present evidence that single cells (mammary epithelial cells) that exist in multi-cellular organisms (humans) follow a bimodal correlated random walk (BCRW). Cellular tracks of MCF-10A pBabe, neuN and neuT random migration on 2-D plastic substrates, analyzed using bimodal analysis, were found to reveal the BCRW pattern. We find two types of exponentially distributed correlated flights (corresponding to what we refer to as the directional and re-orientation phases) each having its own correlation between move step-lengths within flights. The exponential distribution of flight lengths was confirmed using different analysis methods (logarithmic binning with normalization, survival frequency plots and maximum likelihood estimation). Because of the presence of non-uniform turn angle distribution of move step-lengths within a flight and two different types of flights, we propose that the epithelial random walk is a BCRW comprising of two alternating modes with varying degree of correlations, rather than a simple persistent random walk. A BCRW model rather than a simple persistent random walk correctly matches the super-diffusivity in the cell migration paths as indicated by simulations based on the BCRW model.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Cancer Institute (NCI)

Grant/Contract Number:: AC05-00OR22725; 5U54CA113007-02

OSTI ID:: 1627399

Journal Information:: PLoS ONE, Vol. 5, Issue 3; ISSN 1932-6203

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
random walk
epithelial cells
cell migration
cell motility
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simulation and modeling
statistical distributions
animal behavior

Title: Human Mammary Epithelial Cells Exhibit a Bimodal Correlated Random Walk Pattern

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