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Label-Free Automated Cell Tracking: Analysis of the Role of E-cadherin Expression in Collective Electrotaxis
Collective cell migration plays an important role in wound healing, organogenesis, and the progression of metastatic disease. Analysis of collective migration typically involves laborious and time-consuming manual tracking of individual cells within cell clusters over several dozen or hundreds of fr...
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Published in: | Cellular and molecular bioengineering 2017-02, Vol.10 (1), p.89-101 |
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description | Collective cell migration plays an important role in wound healing, organogenesis, and the progression of metastatic disease. Analysis of collective migration typically involves laborious and time-consuming manual tracking of individual cells within cell clusters over several dozen or hundreds of frames. Herein, we develop a label-free, automated algorithm to identify and track individual epithelial cells within a free-moving cluster. We use this algorithm to analyze the effects of partial E-cadherin knockdown on collective migration of MCF-10A breast epithelial cells directed by an electric field. Our data show that E-cadherin knockdown in free-moving cell clusters diminishes electrotactic potential, with empty vector MCF-10A cells showing 16% higher directedness than cells with E-cadherin knockdown. Decreased electrotaxis is also observed in isolated cells at intermediate electric fields, suggesting an adhesion-independent role of E-cadherin in regulating electrotaxis. In additional support of an adhesion-independent role of E-cadherin, isolated cells with reduced E-cadherin expression reoriented within an applied electric field 60% more quickly than control. These results have implications for the role of E-cadherin expression in electrotaxis and demonstrate proof-of-concept of an automated algorithm that is broadly applicable to the analysis of collective migration in a wide range of physiological and pathophysiological contexts. |
doi_str_mv | 10.1007/s12195-016-0471-6 |
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Analysis of collective migration typically involves laborious and time-consuming manual tracking of individual cells within cell clusters over several dozen or hundreds of frames. Herein, we develop a label-free, automated algorithm to identify and track individual epithelial cells within a free-moving cluster. We use this algorithm to analyze the effects of partial E-cadherin knockdown on collective migration of MCF-10A breast epithelial cells directed by an electric field. Our data show that E-cadherin knockdown in free-moving cell clusters diminishes electrotactic potential, with empty vector MCF-10A cells showing 16% higher directedness than cells with E-cadherin knockdown. Decreased electrotaxis is also observed in isolated cells at intermediate electric fields, suggesting an adhesion-independent role of E-cadherin in regulating electrotaxis. In additional support of an adhesion-independent role of E-cadherin, isolated cells with reduced E-cadherin expression reoriented within an applied electric field 60% more quickly than control. These results have implications for the role of E-cadherin expression in electrotaxis and demonstrate proof-of-concept of an automated algorithm that is broadly applicable to the analysis of collective migration in a wide range of physiological and pathophysiological contexts.</description><identifier>ISSN: 1865-5025</identifier><identifier>EISSN: 1865-5033</identifier><identifier>DOI: 10.1007/s12195-016-0471-6</identifier><identifier>PMID: 31719851</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adhesion ; Algorithms ; Automation ; Bioengineering ; Biological and Medical Physics ; Biomaterials ; Biomedical Engineering and Bioengineering ; Biomedical Engineering/Biotechnology ; Biophysics ; Cell adhesion & migration ; Cell Biology ; Clusters ; Electric fields ; Engineering ; Manuals ; Migration ; Progressions ; Protein expression ; Scientific imaging ; Tracking</subject><ispartof>Cellular and molecular bioengineering, 2017-02, Vol.10 (1), p.89-101</ispartof><rights>Biomedical Engineering Society 2016</rights><rights>Biomedical Engineering Society 2016.</rights><rights>Cellular and Molecular Bioengineering is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-639f4d6f2995d6281e5e5405b27c96fc1e161abc40ea1b6c22f6f142868fc8e73</citedby><cites>FETCH-LOGICAL-c536t-639f4d6f2995d6281e5e5405b27c96fc1e161abc40ea1b6c22f6f142868fc8e73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816619/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816619/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31719851$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lalli, Mark L.</creatorcontrib><creatorcontrib>Wojeski, Brooke</creatorcontrib><creatorcontrib>Asthagiri, Anand R.</creatorcontrib><title>Label-Free Automated Cell Tracking: Analysis of the Role of E-cadherin Expression in Collective Electrotaxis</title><title>Cellular and molecular bioengineering</title><addtitle>Cel. Mol. Bioeng</addtitle><addtitle>Cell Mol Bioeng</addtitle><description>Collective cell migration plays an important role in wound healing, organogenesis, and the progression of metastatic disease. Analysis of collective migration typically involves laborious and time-consuming manual tracking of individual cells within cell clusters over several dozen or hundreds of frames. Herein, we develop a label-free, automated algorithm to identify and track individual epithelial cells within a free-moving cluster. We use this algorithm to analyze the effects of partial E-cadherin knockdown on collective migration of MCF-10A breast epithelial cells directed by an electric field. Our data show that E-cadherin knockdown in free-moving cell clusters diminishes electrotactic potential, with empty vector MCF-10A cells showing 16% higher directedness than cells with E-cadherin knockdown. Decreased electrotaxis is also observed in isolated cells at intermediate electric fields, suggesting an adhesion-independent role of E-cadherin in regulating electrotaxis. In additional support of an adhesion-independent role of E-cadherin, isolated cells with reduced E-cadherin expression reoriented within an applied electric field 60% more quickly than control. These results have implications for the role of E-cadherin expression in electrotaxis and demonstrate proof-of-concept of an automated algorithm that is broadly applicable to the analysis of collective migration in a wide range of physiological and pathophysiological contexts.</description><subject>Adhesion</subject><subject>Algorithms</subject><subject>Automation</subject><subject>Bioengineering</subject><subject>Biological and Medical Physics</subject><subject>Biomaterials</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedical Engineering/Biotechnology</subject><subject>Biophysics</subject><subject>Cell adhesion & migration</subject><subject>Cell Biology</subject><subject>Clusters</subject><subject>Electric fields</subject><subject>Engineering</subject><subject>Manuals</subject><subject>Migration</subject><subject>Progressions</subject><subject>Protein expression</subject><subject>Scientific 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Mol. Bioeng</stitle><addtitle>Cell Mol Bioeng</addtitle><date>2017-02-01</date><risdate>2017</risdate><volume>10</volume><issue>1</issue><spage>89</spage><epage>101</epage><pages>89-101</pages><issn>1865-5025</issn><eissn>1865-5033</eissn><abstract>Collective cell migration plays an important role in wound healing, organogenesis, and the progression of metastatic disease. Analysis of collective migration typically involves laborious and time-consuming manual tracking of individual cells within cell clusters over several dozen or hundreds of frames. Herein, we develop a label-free, automated algorithm to identify and track individual epithelial cells within a free-moving cluster. We use this algorithm to analyze the effects of partial E-cadherin knockdown on collective migration of MCF-10A breast epithelial cells directed by an electric field. 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subjects | Adhesion Algorithms Automation Bioengineering Biological and Medical Physics Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biophysics Cell adhesion & migration Cell Biology Clusters Electric fields Engineering Manuals Migration Progressions Protein expression Scientific imaging Tracking |
title | Label-Free Automated Cell Tracking: Analysis of the Role of E-cadherin Expression in Collective Electrotaxis |
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