Characterization of three-dimensional cancer cell migration in mixed collagen-Matrigel scaffolds using microfluidics and image analysis
Financiación FP7 / Fp7 Funds
Resumen: Microfluidic devices are becoming mainstream tools to recapitulate in vitro the behavior of cells and tissues. In this study, we use microfluidic devices filled with hydrogels of mixed collagen-Matrigel composition to study the migration of lung cancer cells under different cancer invasion microenvironments. We present the design of the microfluidic device, characterize the hydrogels morphologically and mechanically and use quantitative image analysis to measure the migration of H1299 lung adenocarcinoma cancer cells in different experimental conditions. Our results show the plasticity of lung cancer cell migration, which turns from mesenchymal in collagen only matrices, to lobopodial in collagen-Matrigel matrices that approximate the interface between a disrupted basement membrane and the underlying connective tissue. Our quantification of migration speed confirms a biphasic role of Matrigel. At low concentration, Matrigel facilitates migration, most probably by providing a supportive and growth factor retaining environment. At high concentration, Matrigel slows down migration, possibly due excessive attachment. Finally, we show that antibody-based integrin blockade promotes a change in migration phenotype from mesenchymal or lobopodial to amoeboid and analyze the effect of this change in migration dynamics, in regards to the structure of the matrix.In summary, we describe and characterize a robust microfluidic platform and a set of software tools that can be used to study lung cancer cell migration under different microenvironments and experimental conditions. This platform could be used in future studies, thus benefitting from the advantages introduced by microfluidic devices: precise control of the environment, excellent optical properties, parallelization for high throughput studies and efficient use of therapeutic drugs.
Idioma: Inglés
DOI: 10.1371/journal.pone.0171417
Año: 2017
Publicado en: PloS one 12, 2 (2017), 0171417 [24 p.]
ISSN: 1932-6203

Factor impacto JCR: 2.766 (2017)
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 15 / 64 = 0.234 (2017) - Q1 - T1
Factor impacto SCIMAGO: 1.164 - Agricultural and Biological Sciences (miscellaneous) (Q1) - Medicine (miscellaneous) (Q1) - Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/EUR/FP7/ERC2012-StG-306751
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/PI13-02313
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2012-38090-C03-02
Financiación: info:eu-repo/grantAgreement/ES/MINECO/PTQ-11-04778
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2013-48552-C2-1-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2015-73064-EXP
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2016-78052-R
Tipo y forma: Article (Published version)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)

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 Record created 2017-03-21, last modified 2019-07-09

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