Enhancement of Chemotactic Cell Aggregation by Haptotactic Cell-To-Cell Interaction
The crawling of biological cell is a complex phenomenon involving various biochemical and mechanical processes. Some of these processes are intrinsic to individual cells, while others pertain to cell-to-cell interactions and to their responses to extrinsically imposed cues. Here, we report an intere...
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description | The crawling of biological cell is a complex phenomenon involving various biochemical and mechanical processes. Some of these processes are intrinsic to individual cells, while others pertain to cell-to-cell interactions and to their responses to extrinsically imposed cues. Here, we report an interesting aggregation dynamics of mathematical model cells, when they perform chemotaxis in response to an externally imposed global chemical gradient while they influence each other through a haptotaxis-mediated social interaction, which confers intriguing trail patterns. In the absence of the cell-to-cell interaction, the equilibrium population density profile fits well to that of a simple Keller-Segal population dynamic model, in which a chemotactic current density [Formula: see text] competes with a normal diffusive current density [Formula: see text], where p and ρ refer to the concentration of chemoattractant and population density, respectively. We find that the cell-to-cell interaction confers a far more compact aggregation resulting in a much higher peak equilibrium cell density. The mathematical model system is applicable to many biological systems such as swarming microglia and neutrophils or accumulating ants towards a localized food source. |
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Some of these processes are intrinsic to individual cells, while others pertain to cell-to-cell interactions and to their responses to extrinsically imposed cues. Here, we report an interesting aggregation dynamics of mathematical model cells, when they perform chemotaxis in response to an externally imposed global chemical gradient while they influence each other through a haptotaxis-mediated social interaction, which confers intriguing trail patterns. In the absence of the cell-to-cell interaction, the equilibrium population density profile fits well to that of a simple Keller-Segal population dynamic model, in which a chemotactic current density [Formula: see text] competes with a normal diffusive current density [Formula: see text], where p and ρ refer to the concentration of chemoattractant and population density, respectively. We find that the cell-to-cell interaction confers a far more compact aggregation resulting in a much higher peak equilibrium cell density. The mathematical model system is applicable to many biological systems such as swarming microglia and neutrophils or accumulating ants towards a localized food source.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0154717</identifier><identifier>PMID: 27128310</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenosine ; Agglomeration ; Animals ; Biology and Life Sciences ; Cancer ; Cell adhesion & migration ; Cell aggregation ; Cell Aggregation - physiology ; Cell Communication - physiology ; Cell density ; Cell interactions ; Cell Movement - physiology ; Chemotactic Factors - physiology ; Chemotaxis ; Chemotaxis - physiology ; Cues ; Current density ; Dynamic models ; Equilibrium ; Food sources ; Leukocytes (neutrophilic) ; Mathematical analysis ; Mathematical models ; Medicine and Health Sciences ; Microglia ; Microglia - physiology ; Models, Biological ; Models, Neurological ; Neutrophils ; Physics ; Population density ; Rats ; Research and Analysis Methods ; Swarming</subject><ispartof>PloS one, 2016-04, Vol.11 (4), p.e0154717-e0154717</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Kwon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Some of these processes are intrinsic to individual cells, while others pertain to cell-to-cell interactions and to their responses to extrinsically imposed cues. Here, we report an interesting aggregation dynamics of mathematical model cells, when they perform chemotaxis in response to an externally imposed global chemical gradient while they influence each other through a haptotaxis-mediated social interaction, which confers intriguing trail patterns. In the absence of the cell-to-cell interaction, the equilibrium population density profile fits well to that of a simple Keller-Segal population dynamic model, in which a chemotactic current density [Formula: see text] competes with a normal diffusive current density [Formula: see text], where p and ρ refer to the concentration of chemoattractant and population density, respectively. We find that the cell-to-cell interaction confers a far more compact aggregation resulting in a much higher peak equilibrium cell density. The mathematical model system is applicable to many biological systems such as swarming microglia and neutrophils or accumulating ants towards a localized food source.</description><subject>Adenosine</subject><subject>Agglomeration</subject><subject>Animals</subject><subject>Biology and Life Sciences</subject><subject>Cancer</subject><subject>Cell adhesion & migration</subject><subject>Cell aggregation</subject><subject>Cell Aggregation - physiology</subject><subject>Cell Communication - physiology</subject><subject>Cell density</subject><subject>Cell interactions</subject><subject>Cell Movement - physiology</subject><subject>Chemotactic Factors - physiology</subject><subject>Chemotaxis</subject><subject>Chemotaxis - physiology</subject><subject>Cues</subject><subject>Current density</subject><subject>Dynamic models</subject><subject>Equilibrium</subject><subject>Food sources</subject><subject>Leukocytes (neutrophilic)</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Microglia</subject><subject>Microglia - 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physiology</topic><topic>Cell Communication - physiology</topic><topic>Cell density</topic><topic>Cell interactions</topic><topic>Cell Movement - physiology</topic><topic>Chemotactic Factors - physiology</topic><topic>Chemotaxis</topic><topic>Chemotaxis - physiology</topic><topic>Cues</topic><topic>Current density</topic><topic>Dynamic models</topic><topic>Equilibrium</topic><topic>Food sources</topic><topic>Leukocytes (neutrophilic)</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Microglia</topic><topic>Microglia - physiology</topic><topic>Models, Biological</topic><topic>Models, Neurological</topic><topic>Neutrophils</topic><topic>Physics</topic><topic>Population density</topic><topic>Rats</topic><topic>Research and Analysis Methods</topic><topic>Swarming</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kwon, Tae-Goo</creatorcontrib><creatorcontrib>Yang, Taeseok Daniel</creatorcontrib><creatorcontrib>Lee, Kyoung J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kwon, Tae-Goo</au><au>Yang, Taeseok Daniel</au><au>Lee, Kyoung J</au><au>Chiam, Keng-Hwee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancement of Chemotactic Cell Aggregation by Haptotactic Cell-To-Cell Interaction</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-04-29</date><risdate>2016</risdate><volume>11</volume><issue>4</issue><spage>e0154717</spage><epage>e0154717</epage><pages>e0154717-e0154717</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The crawling of biological cell is a complex phenomenon involving various biochemical and mechanical processes. Some of these processes are intrinsic to individual cells, while others pertain to cell-to-cell interactions and to their responses to extrinsically imposed cues. Here, we report an interesting aggregation dynamics of mathematical model cells, when they perform chemotaxis in response to an externally imposed global chemical gradient while they influence each other through a haptotaxis-mediated social interaction, which confers intriguing trail patterns. In the absence of the cell-to-cell interaction, the equilibrium population density profile fits well to that of a simple Keller-Segal population dynamic model, in which a chemotactic current density [Formula: see text] competes with a normal diffusive current density [Formula: see text], where p and ρ refer to the concentration of chemoattractant and population density, respectively. We find that the cell-to-cell interaction confers a far more compact aggregation resulting in a much higher peak equilibrium cell density. The mathematical model system is applicable to many biological systems such as swarming microglia and neutrophils or accumulating ants towards a localized food source.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27128310</pmid><doi>10.1371/journal.pone.0154717</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adenosine Agglomeration Animals Biology and Life Sciences Cancer Cell adhesion & migration Cell aggregation Cell Aggregation - physiology Cell Communication - physiology Cell density Cell interactions Cell Movement - physiology Chemotactic Factors - physiology Chemotaxis Chemotaxis - physiology Cues Current density Dynamic models Equilibrium Food sources Leukocytes (neutrophilic) Mathematical analysis Mathematical models Medicine and Health Sciences Microglia Microglia - physiology Models, Biological Models, Neurological Neutrophils Physics Population density Rats Research and Analysis Methods Swarming |
title | Enhancement of Chemotactic Cell Aggregation by Haptotactic Cell-To-Cell Interaction |
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