In vitro cell migration quantification method for scratch assays

The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the Royal Society interface 2019-02, Vol.16 (151), p.20180709-20180709
Hauptverfasser: Bobadilla, Ana Victoria Ponce, Arévalo, Jazmine, Sarró, Eduard, Byrne, Helen M, Maini, Philip K, Carraro, Thomas, Balocco, Simone, Meseguer, Anna, Alarcón, Tomás
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 20180709
container_issue 151
container_start_page 20180709
container_title Journal of the Royal Society interface
container_volume 16
creator Bobadilla, Ana Victoria Ponce
Arévalo, Jazmine
Sarró, Eduard
Byrne, Helen M
Maini, Philip K
Carraro, Thomas
Balocco, Simone
Meseguer, Anna
Alarcón, Tomás
description The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free areas and crooked leading edges which are features typically present in the experimental data. We introduce a new migration quantification method, called 'monolayer edge velocimetry', that permits analysis of low-quality experimental data and better statistical classification of migration rates than standard quantification methods. The new method relies on quantifying the horizontal component of the cell monolayer velocity across the leading edge. By performing a classification test on in silico data, we show that the method exhibits significantly lower statistical errors than standard methods. When applied to in vitro data, our method outperforms standard methods by detecting differences in the migration rates between different cell groups that the other methods could not detect. Application of this new method will enable quantification of migration rates from in vitro scratch assay data that cannot be analysed using existing methods.
doi_str_mv 10.1098/rsif.2018.0709
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6408363</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2205408747</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-85f2c2b347710192d62e5afc84db472281ffd915725415e2587ce82c87ad71ce3</originalsourceid><addsrcrecordid>eNpVkDtPwzAURi0EoqWwMqKMLAl-xs6CQBWPSpVYYLZcx26Nkri1k0r99yRqiWC6vvLxd68PALcIZggW4iFEZzMMkcggh8UZmCJOccryHJ-PZ1FMwFWM3xASThi7BBMCCyaQyKfgadEke9cGn2hTVUnt1kG1zjfJrlNN66zTx7Y27caXifUhibpH9CZRMapDvAYXVlXR3JzqDHy9vnzO39Plx9ti_rxMNSW0TQWzWOMVoZwjiApc5tgwZbWg5YpyjAWytiwQ45hRxAxmgmsjsBZclRxpQ2bg8Zi77Va1KbVp2qAquQ2uVuEgvXLy_03jNnLt9zKnUJCc9AH3p4Dgd52JraxdHD6tGuO7KDGGrEc55T2aHVEdfIzB2HEMgnLQLgftctAuB-39g7u_y434r2fyA2S0f4k</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2205408747</pqid></control><display><type>article</type><title>In vitro cell migration quantification method for scratch assays</title><source>MEDLINE</source><source>PubMed Central</source><creator>Bobadilla, Ana Victoria Ponce ; Arévalo, Jazmine ; Sarró, Eduard ; Byrne, Helen M ; Maini, Philip K ; Carraro, Thomas ; Balocco, Simone ; Meseguer, Anna ; Alarcón, Tomás</creator><creatorcontrib>Bobadilla, Ana Victoria Ponce ; Arévalo, Jazmine ; Sarró, Eduard ; Byrne, Helen M ; Maini, Philip K ; Carraro, Thomas ; Balocco, Simone ; Meseguer, Anna ; Alarcón, Tomás</creatorcontrib><description>The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free areas and crooked leading edges which are features typically present in the experimental data. We introduce a new migration quantification method, called 'monolayer edge velocimetry', that permits analysis of low-quality experimental data and better statistical classification of migration rates than standard quantification methods. The new method relies on quantifying the horizontal component of the cell monolayer velocity across the leading edge. By performing a classification test on in silico data, we show that the method exhibits significantly lower statistical errors than standard methods. When applied to in vitro data, our method outperforms standard methods by detecting differences in the migration rates between different cell groups that the other methods could not detect. Application of this new method will enable quantification of migration rates from in vitro scratch assay data that cannot be analysed using existing methods.</description><identifier>ISSN: 1742-5689</identifier><identifier>EISSN: 1742-5662</identifier><identifier>DOI: 10.1098/rsif.2018.0709</identifier><identifier>PMID: 30958186</identifier><language>eng</language><publisher>England: The Royal Society</publisher><subject>Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Computer Simulation ; Humans ; Life Sciences–Mathematics interface ; Models, Biological</subject><ispartof>Journal of the Royal Society interface, 2019-02, Vol.16 (151), p.20180709-20180709</ispartof><rights>2019 The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-85f2c2b347710192d62e5afc84db472281ffd915725415e2587ce82c87ad71ce3</citedby><cites>FETCH-LOGICAL-c434t-85f2c2b347710192d62e5afc84db472281ffd915725415e2587ce82c87ad71ce3</cites><orcidid>0000-0002-7149-7806 ; 0000-0003-1771-5910 ; 0000-0002-0503-4555 ; 0000-0002-0959-4058 ; 0000-0002-8824-424X ; 0000-0002-0146-9164 ; 0000-0001-7723-2916 ; 0000-0002-8566-3676</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408363/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408363/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30958186$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bobadilla, Ana Victoria Ponce</creatorcontrib><creatorcontrib>Arévalo, Jazmine</creatorcontrib><creatorcontrib>Sarró, Eduard</creatorcontrib><creatorcontrib>Byrne, Helen M</creatorcontrib><creatorcontrib>Maini, Philip K</creatorcontrib><creatorcontrib>Carraro, Thomas</creatorcontrib><creatorcontrib>Balocco, Simone</creatorcontrib><creatorcontrib>Meseguer, Anna</creatorcontrib><creatorcontrib>Alarcón, Tomás</creatorcontrib><title>In vitro cell migration quantification method for scratch assays</title><title>Journal of the Royal Society interface</title><addtitle>J R Soc Interface</addtitle><description>The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free areas and crooked leading edges which are features typically present in the experimental data. We introduce a new migration quantification method, called 'monolayer edge velocimetry', that permits analysis of low-quality experimental data and better statistical classification of migration rates than standard quantification methods. The new method relies on quantifying the horizontal component of the cell monolayer velocity across the leading edge. By performing a classification test on in silico data, we show that the method exhibits significantly lower statistical errors than standard methods. When applied to in vitro data, our method outperforms standard methods by detecting differences in the migration rates between different cell groups that the other methods could not detect. Application of this new method will enable quantification of migration rates from in vitro scratch assay data that cannot be analysed using existing methods.</description><subject>Cell Line, Tumor</subject><subject>Cell Movement</subject><subject>Cell Proliferation</subject><subject>Computer Simulation</subject><subject>Humans</subject><subject>Life Sciences–Mathematics interface</subject><subject>Models, Biological</subject><issn>1742-5689</issn><issn>1742-5662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkDtPwzAURi0EoqWwMqKMLAl-xs6CQBWPSpVYYLZcx26Nkri1k0r99yRqiWC6vvLxd68PALcIZggW4iFEZzMMkcggh8UZmCJOccryHJ-PZ1FMwFWM3xASThi7BBMCCyaQyKfgadEke9cGn2hTVUnt1kG1zjfJrlNN66zTx7Y27caXifUhibpH9CZRMapDvAYXVlXR3JzqDHy9vnzO39Plx9ti_rxMNSW0TQWzWOMVoZwjiApc5tgwZbWg5YpyjAWytiwQ45hRxAxmgmsjsBZclRxpQ2bg8Zi77Va1KbVp2qAquQ2uVuEgvXLy_03jNnLt9zKnUJCc9AH3p4Dgd52JraxdHD6tGuO7KDGGrEc55T2aHVEdfIzB2HEMgnLQLgftctAuB-39g7u_y434r2fyA2S0f4k</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Bobadilla, Ana Victoria Ponce</creator><creator>Arévalo, Jazmine</creator><creator>Sarró, Eduard</creator><creator>Byrne, Helen M</creator><creator>Maini, Philip K</creator><creator>Carraro, Thomas</creator><creator>Balocco, Simone</creator><creator>Meseguer, Anna</creator><creator>Alarcón, Tomás</creator><general>The Royal Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7149-7806</orcidid><orcidid>https://orcid.org/0000-0003-1771-5910</orcidid><orcidid>https://orcid.org/0000-0002-0503-4555</orcidid><orcidid>https://orcid.org/0000-0002-0959-4058</orcidid><orcidid>https://orcid.org/0000-0002-8824-424X</orcidid><orcidid>https://orcid.org/0000-0002-0146-9164</orcidid><orcidid>https://orcid.org/0000-0001-7723-2916</orcidid><orcidid>https://orcid.org/0000-0002-8566-3676</orcidid></search><sort><creationdate>20190201</creationdate><title>In vitro cell migration quantification method for scratch assays</title><author>Bobadilla, Ana Victoria Ponce ; Arévalo, Jazmine ; Sarró, Eduard ; Byrne, Helen M ; Maini, Philip K ; Carraro, Thomas ; Balocco, Simone ; Meseguer, Anna ; Alarcón, Tomás</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-85f2c2b347710192d62e5afc84db472281ffd915725415e2587ce82c87ad71ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cell Line, Tumor</topic><topic>Cell Movement</topic><topic>Cell Proliferation</topic><topic>Computer Simulation</topic><topic>Humans</topic><topic>Life Sciences–Mathematics interface</topic><topic>Models, Biological</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bobadilla, Ana Victoria Ponce</creatorcontrib><creatorcontrib>Arévalo, Jazmine</creatorcontrib><creatorcontrib>Sarró, Eduard</creatorcontrib><creatorcontrib>Byrne, Helen M</creatorcontrib><creatorcontrib>Maini, Philip K</creatorcontrib><creatorcontrib>Carraro, Thomas</creatorcontrib><creatorcontrib>Balocco, Simone</creatorcontrib><creatorcontrib>Meseguer, Anna</creatorcontrib><creatorcontrib>Alarcón, Tomás</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the Royal Society interface</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bobadilla, Ana Victoria Ponce</au><au>Arévalo, Jazmine</au><au>Sarró, Eduard</au><au>Byrne, Helen M</au><au>Maini, Philip K</au><au>Carraro, Thomas</au><au>Balocco, Simone</au><au>Meseguer, Anna</au><au>Alarcón, Tomás</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In vitro cell migration quantification method for scratch assays</atitle><jtitle>Journal of the Royal Society interface</jtitle><addtitle>J R Soc Interface</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>16</volume><issue>151</issue><spage>20180709</spage><epage>20180709</epage><pages>20180709-20180709</pages><issn>1742-5689</issn><eissn>1742-5662</eissn><abstract>The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free areas and crooked leading edges which are features typically present in the experimental data. We introduce a new migration quantification method, called 'monolayer edge velocimetry', that permits analysis of low-quality experimental data and better statistical classification of migration rates than standard quantification methods. The new method relies on quantifying the horizontal component of the cell monolayer velocity across the leading edge. By performing a classification test on in silico data, we show that the method exhibits significantly lower statistical errors than standard methods. When applied to in vitro data, our method outperforms standard methods by detecting differences in the migration rates between different cell groups that the other methods could not detect. Application of this new method will enable quantification of migration rates from in vitro scratch assay data that cannot be analysed using existing methods.</abstract><cop>England</cop><pub>The Royal Society</pub><pmid>30958186</pmid><doi>10.1098/rsif.2018.0709</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7149-7806</orcidid><orcidid>https://orcid.org/0000-0003-1771-5910</orcidid><orcidid>https://orcid.org/0000-0002-0503-4555</orcidid><orcidid>https://orcid.org/0000-0002-0959-4058</orcidid><orcidid>https://orcid.org/0000-0002-8824-424X</orcidid><orcidid>https://orcid.org/0000-0002-0146-9164</orcidid><orcidid>https://orcid.org/0000-0001-7723-2916</orcidid><orcidid>https://orcid.org/0000-0002-8566-3676</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-5689
ispartof Journal of the Royal Society interface, 2019-02, Vol.16 (151), p.20180709-20180709
issn 1742-5689
1742-5662
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6408363
source MEDLINE; PubMed Central
subjects Cell Line, Tumor
Cell Movement
Cell Proliferation
Computer Simulation
Humans
Life Sciences–Mathematics interface
Models, Biological
title In vitro cell migration quantification method for scratch assays
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T12%3A57%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=In%20vitro%20cell%20migration%20quantification%20method%20for%20scratch%20assays&rft.jtitle=Journal%20of%20the%20Royal%20Society%20interface&rft.au=Bobadilla,%20Ana%20Victoria%20Ponce&rft.date=2019-02-01&rft.volume=16&rft.issue=151&rft.spage=20180709&rft.epage=20180709&rft.pages=20180709-20180709&rft.issn=1742-5689&rft.eissn=1742-5662&rft_id=info:doi/10.1098/rsif.2018.0709&rft_dat=%3Cproquest_pubme%3E2205408747%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2205408747&rft_id=info:pmid/30958186&rfr_iscdi=true