A computational study of amoeboid motility in 3D: the role of extracellular matrix geometry, cell deformability, and cell–matrix adhesion
Amoeboid cells often migrate using pseudopods, which are membrane protrusions that grow, bifurcate, and retract dynamically, resulting in a net cell displacement. Many cells within the human body, such as immune cells, epithelial cells, and even metastatic cancer cells, can migrate using the amoeboi...
Gespeichert in:
Veröffentlicht in: | Biomechanics and modeling in mechanobiology 2021-02, Vol.20 (1), p.167-191 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 191 |
---|---|
container_issue | 1 |
container_start_page | 167 |
container_title | Biomechanics and modeling in mechanobiology |
container_volume | 20 |
creator | Campbell, Eric J. Bagchi, Prosenjit |
description | Amoeboid cells often migrate using pseudopods, which are membrane protrusions that grow, bifurcate, and retract dynamically, resulting in a net cell displacement. Many cells within the human body, such as immune cells, epithelial cells, and even metastatic cancer cells, can migrate using the amoeboid phenotype. Amoeboid motility is a complex and multiscale process, where cell deformation, biochemistry, and cytosolic and extracellular fluid motions are coupled. Furthermore, the extracellular matrix (ECM) provides a confined, complex, and heterogeneous environment for the cells to navigate through. Amoeboid cells can migrate without significantly remodeling the ECM using weak or no adhesion, instead utilizing their deformability and the microstructure of the ECM to gain enough traction. While a large volume of work exists on cell motility on 2D substrates, amoeboid motility is 3D in nature. Despite recent progress in modeling cellular motility in 3D, there is a lack of systematic evaluations of the role of ECM microstructure, cell deformability, and adhesion on 3D motility. To fill this knowledge gap, here we present a multiscale, multiphysics modeling study of amoeboid motility through 3D-idealized ECM. The model is a coupled fluid‒structure and coarse-grain biochemistry interaction model that accounts for large deformation of cells, pseudopod dynamics, cytoplasmic and extracellular fluid motion, stochastic dynamics of cell-ECM adhesion, and microstructural (pore-scale) geometric details of the ECM. The key finding of the study is that cell deformation and matrix porosity strongly influence amoeboid motility, while weak adhesion and microscale structural details of the ECM have secondary but subtle effects. |
doi_str_mv | 10.1007/s10237-020-01376-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2432430896</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2432430896</sourcerecordid><originalsourceid>FETCH-LOGICAL-c412t-f9c010c86a492315d19e9329cd35d61c0e89b887e8b761a32d16a0b6f7bd6e413</originalsourceid><addsrcrecordid>eNp9kc9O3DAQxq0KVCjtC_SALHHpgYD_JHbcG4JCkZC4tGfLiScQFMeL7Ui7N-498oY8Cc7ulko9II3k0cxvvrHmQ-grJSeUEHkaKWFcFoSRglAuRSE_oH0qqCykKsnOW16pPfQpxgeSSV7zj2iPMykZk9U--nOGW-8WUzKp96MZcEyTXWHfYeM8NL632PnUD31a4X7E_OI7TveAgx9ghmCZgmlhGKbBBOxMCv0S34F3kMLqGM8dbKHzwZlmLXKMzWjX9Zen5y1v7D3EvP0z2u3MEOHL9j1Avy9__Dr_WdzcXl2fn90UbUlZKjrVEkraWphSMU4rSxUozlRreWUFbQnUqqlrCXUjBTWcWSoMaUQnGyugpPwAfdvoLoJ_nCAm7fo4f8mM4KeoWclzkFqJjB79hz74KeQ7Zariqlb5ijJTbEO1wccYoNOL0DsTVpoSPVulN1bpbIBeW6XnocOt9NQ4sG8jf73JAN8AMbfGOwj_dr8j-wpsc6C0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2539892277</pqid></control><display><type>article</type><title>A computational study of amoeboid motility in 3D: the role of extracellular matrix geometry, cell deformability, and cell–matrix adhesion</title><source>SpringerLink Journals - AutoHoldings</source><creator>Campbell, Eric J. ; Bagchi, Prosenjit</creator><creatorcontrib>Campbell, Eric J. ; Bagchi, Prosenjit</creatorcontrib><description>Amoeboid cells often migrate using pseudopods, which are membrane protrusions that grow, bifurcate, and retract dynamically, resulting in a net cell displacement. Many cells within the human body, such as immune cells, epithelial cells, and even metastatic cancer cells, can migrate using the amoeboid phenotype. Amoeboid motility is a complex and multiscale process, where cell deformation, biochemistry, and cytosolic and extracellular fluid motions are coupled. Furthermore, the extracellular matrix (ECM) provides a confined, complex, and heterogeneous environment for the cells to navigate through. Amoeboid cells can migrate without significantly remodeling the ECM using weak or no adhesion, instead utilizing their deformability and the microstructure of the ECM to gain enough traction. While a large volume of work exists on cell motility on 2D substrates, amoeboid motility is 3D in nature. Despite recent progress in modeling cellular motility in 3D, there is a lack of systematic evaluations of the role of ECM microstructure, cell deformability, and adhesion on 3D motility. To fill this knowledge gap, here we present a multiscale, multiphysics modeling study of amoeboid motility through 3D-idealized ECM. The model is a coupled fluid‒structure and coarse-grain biochemistry interaction model that accounts for large deformation of cells, pseudopod dynamics, cytoplasmic and extracellular fluid motion, stochastic dynamics of cell-ECM adhesion, and microstructural (pore-scale) geometric details of the ECM. The key finding of the study is that cell deformation and matrix porosity strongly influence amoeboid motility, while weak adhesion and microscale structural details of the ECM have secondary but subtle effects.</description><identifier>ISSN: 1617-7959</identifier><identifier>EISSN: 1617-7940</identifier><identifier>DOI: 10.1007/s10237-020-01376-7</identifier><identifier>PMID: 32772275</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adhesion ; Biochemistry ; Biological and Medical Physics ; Biomedical Engineering and Bioengineering ; Biophysics ; Cell migration ; Computer applications ; Deformability ; Deformation ; Engineering ; Epithelial cells ; Epithelium ; Extracellular matrix ; Formability ; Immune system ; Interaction models ; Metastases ; Microstructure ; Motility ; Original Paper ; Phenotypes ; Porosity ; Space life sciences ; Stochasticity ; Substrates ; Theoretical and Applied Mechanics</subject><ispartof>Biomechanics and modeling in mechanobiology, 2021-02, Vol.20 (1), p.167-191</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-f9c010c86a492315d19e9329cd35d61c0e89b887e8b761a32d16a0b6f7bd6e413</citedby><cites>FETCH-LOGICAL-c412t-f9c010c86a492315d19e9329cd35d61c0e89b887e8b761a32d16a0b6f7bd6e413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10237-020-01376-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10237-020-01376-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32772275$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Campbell, Eric J.</creatorcontrib><creatorcontrib>Bagchi, Prosenjit</creatorcontrib><title>A computational study of amoeboid motility in 3D: the role of extracellular matrix geometry, cell deformability, and cell–matrix adhesion</title><title>Biomechanics and modeling in mechanobiology</title><addtitle>Biomech Model Mechanobiol</addtitle><addtitle>Biomech Model Mechanobiol</addtitle><description>Amoeboid cells often migrate using pseudopods, which are membrane protrusions that grow, bifurcate, and retract dynamically, resulting in a net cell displacement. Many cells within the human body, such as immune cells, epithelial cells, and even metastatic cancer cells, can migrate using the amoeboid phenotype. Amoeboid motility is a complex and multiscale process, where cell deformation, biochemistry, and cytosolic and extracellular fluid motions are coupled. Furthermore, the extracellular matrix (ECM) provides a confined, complex, and heterogeneous environment for the cells to navigate through. Amoeboid cells can migrate without significantly remodeling the ECM using weak or no adhesion, instead utilizing their deformability and the microstructure of the ECM to gain enough traction. While a large volume of work exists on cell motility on 2D substrates, amoeboid motility is 3D in nature. Despite recent progress in modeling cellular motility in 3D, there is a lack of systematic evaluations of the role of ECM microstructure, cell deformability, and adhesion on 3D motility. To fill this knowledge gap, here we present a multiscale, multiphysics modeling study of amoeboid motility through 3D-idealized ECM. The model is a coupled fluid‒structure and coarse-grain biochemistry interaction model that accounts for large deformation of cells, pseudopod dynamics, cytoplasmic and extracellular fluid motion, stochastic dynamics of cell-ECM adhesion, and microstructural (pore-scale) geometric details of the ECM. The key finding of the study is that cell deformation and matrix porosity strongly influence amoeboid motility, while weak adhesion and microscale structural details of the ECM have secondary but subtle effects.</description><subject>Adhesion</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biophysics</subject><subject>Cell migration</subject><subject>Computer applications</subject><subject>Deformability</subject><subject>Deformation</subject><subject>Engineering</subject><subject>Epithelial cells</subject><subject>Epithelium</subject><subject>Extracellular matrix</subject><subject>Formability</subject><subject>Immune system</subject><subject>Interaction models</subject><subject>Metastases</subject><subject>Microstructure</subject><subject>Motility</subject><subject>Original Paper</subject><subject>Phenotypes</subject><subject>Porosity</subject><subject>Space life sciences</subject><subject>Stochasticity</subject><subject>Substrates</subject><subject>Theoretical and Applied Mechanics</subject><issn>1617-7959</issn><issn>1617-7940</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc9O3DAQxq0KVCjtC_SALHHpgYD_JHbcG4JCkZC4tGfLiScQFMeL7Ui7N-498oY8Cc7ulko9II3k0cxvvrHmQ-grJSeUEHkaKWFcFoSRglAuRSE_oH0qqCykKsnOW16pPfQpxgeSSV7zj2iPMykZk9U--nOGW-8WUzKp96MZcEyTXWHfYeM8NL632PnUD31a4X7E_OI7TveAgx9ghmCZgmlhGKbBBOxMCv0S34F3kMLqGM8dbKHzwZlmLXKMzWjX9Zen5y1v7D3EvP0z2u3MEOHL9j1Avy9__Dr_WdzcXl2fn90UbUlZKjrVEkraWphSMU4rSxUozlRreWUFbQnUqqlrCXUjBTWcWSoMaUQnGyugpPwAfdvoLoJ_nCAm7fo4f8mM4KeoWclzkFqJjB79hz74KeQ7Zariqlb5ijJTbEO1wccYoNOL0DsTVpoSPVulN1bpbIBeW6XnocOt9NQ4sG8jf73JAN8AMbfGOwj_dr8j-wpsc6C0</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Campbell, Eric J.</creator><creator>Bagchi, Prosenjit</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TB</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><scope>7X8</scope></search><sort><creationdate>20210201</creationdate><title>A computational study of amoeboid motility in 3D: the role of extracellular matrix geometry, cell deformability, and cell–matrix adhesion</title><author>Campbell, Eric J. ; Bagchi, Prosenjit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-f9c010c86a492315d19e9329cd35d61c0e89b887e8b761a32d16a0b6f7bd6e413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adhesion</topic><topic>Biochemistry</topic><topic>Biological and Medical Physics</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biophysics</topic><topic>Cell migration</topic><topic>Computer applications</topic><topic>Deformability</topic><topic>Deformation</topic><topic>Engineering</topic><topic>Epithelial cells</topic><topic>Epithelium</topic><topic>Extracellular matrix</topic><topic>Formability</topic><topic>Immune system</topic><topic>Interaction models</topic><topic>Metastases</topic><topic>Microstructure</topic><topic>Motility</topic><topic>Original Paper</topic><topic>Phenotypes</topic><topic>Porosity</topic><topic>Space life sciences</topic><topic>Stochasticity</topic><topic>Substrates</topic><topic>Theoretical and Applied Mechanics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Campbell, Eric J.</creatorcontrib><creatorcontrib>Bagchi, Prosenjit</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Biomechanics and modeling in mechanobiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Campbell, Eric J.</au><au>Bagchi, Prosenjit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A computational study of amoeboid motility in 3D: the role of extracellular matrix geometry, cell deformability, and cell–matrix adhesion</atitle><jtitle>Biomechanics and modeling in mechanobiology</jtitle><stitle>Biomech Model Mechanobiol</stitle><addtitle>Biomech Model Mechanobiol</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>20</volume><issue>1</issue><spage>167</spage><epage>191</epage><pages>167-191</pages><issn>1617-7959</issn><eissn>1617-7940</eissn><abstract>Amoeboid cells often migrate using pseudopods, which are membrane protrusions that grow, bifurcate, and retract dynamically, resulting in a net cell displacement. Many cells within the human body, such as immune cells, epithelial cells, and even metastatic cancer cells, can migrate using the amoeboid phenotype. Amoeboid motility is a complex and multiscale process, where cell deformation, biochemistry, and cytosolic and extracellular fluid motions are coupled. Furthermore, the extracellular matrix (ECM) provides a confined, complex, and heterogeneous environment for the cells to navigate through. Amoeboid cells can migrate without significantly remodeling the ECM using weak or no adhesion, instead utilizing their deformability and the microstructure of the ECM to gain enough traction. While a large volume of work exists on cell motility on 2D substrates, amoeboid motility is 3D in nature. Despite recent progress in modeling cellular motility in 3D, there is a lack of systematic evaluations of the role of ECM microstructure, cell deformability, and adhesion on 3D motility. To fill this knowledge gap, here we present a multiscale, multiphysics modeling study of amoeboid motility through 3D-idealized ECM. The model is a coupled fluid‒structure and coarse-grain biochemistry interaction model that accounts for large deformation of cells, pseudopod dynamics, cytoplasmic and extracellular fluid motion, stochastic dynamics of cell-ECM adhesion, and microstructural (pore-scale) geometric details of the ECM. The key finding of the study is that cell deformation and matrix porosity strongly influence amoeboid motility, while weak adhesion and microscale structural details of the ECM have secondary but subtle effects.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32772275</pmid><doi>10.1007/s10237-020-01376-7</doi><tpages>25</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1617-7959 |
ispartof | Biomechanics and modeling in mechanobiology, 2021-02, Vol.20 (1), p.167-191 |
issn | 1617-7959 1617-7940 |
language | eng |
recordid | cdi_proquest_miscellaneous_2432430896 |
source | SpringerLink Journals - AutoHoldings |
subjects | Adhesion Biochemistry Biological and Medical Physics Biomedical Engineering and Bioengineering Biophysics Cell migration Computer applications Deformability Deformation Engineering Epithelial cells Epithelium Extracellular matrix Formability Immune system Interaction models Metastases Microstructure Motility Original Paper Phenotypes Porosity Space life sciences Stochasticity Substrates Theoretical and Applied Mechanics |
title | A computational study of amoeboid motility in 3D: the role of extracellular matrix geometry, cell deformability, and cell–matrix adhesion |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T18%3A56%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20computational%20study%20of%20amoeboid%20motility%20in%203D:%20the%20role%20of%20extracellular%20matrix%20geometry,%20cell%20deformability,%20and%20cell%E2%80%93matrix%20adhesion&rft.jtitle=Biomechanics%20and%20modeling%20in%20mechanobiology&rft.au=Campbell,%20Eric%20J.&rft.date=2021-02-01&rft.volume=20&rft.issue=1&rft.spage=167&rft.epage=191&rft.pages=167-191&rft.issn=1617-7959&rft.eissn=1617-7940&rft_id=info:doi/10.1007/s10237-020-01376-7&rft_dat=%3Cproquest_cross%3E2432430896%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2539892277&rft_id=info:pmid/32772275&rfr_iscdi=true |