ANGUIANO, María, Carlos CASTILLA, Martin MAŠKA, Cristina EDERRA, Javier FERNÁNDEZ-MARQUÉS, Rafael PELÁEZ, Ana ROUZAUT, Arrate MUÑOZ-BARRUTIA, Michal KOZUBEK and Carlos ORTIZ-DE-SOLÓRZANO. Characterization of the Role of Collagen Network Structure and Composition in Cancer Cell Migration. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Milano: IEEE. p. 8139-8142. ISBN 978-1-4244-9271-8. doi:10.1109/EMBC.2015.7320283. 2015.
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Basic information
Original name Characterization of the Role of Collagen Network Structure and Composition in Cancer Cell Migration
Authors ANGUIANO, María (724 Spain), Carlos CASTILLA (724 Spain), Martin MAŠKA (203 Czech Republic, guarantor, belonging to the institution), Cristina EDERRA (724 Spain), Javier FERNÁNDEZ-MARQUÉS (724 Spain), Rafael PELÁEZ (724 Spain), Ana ROUZAUT (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Carlos ORTIZ-DE-SOLÓRZANO (724 Spain).
Edition Milano, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, p. 8139-8142, 4 pp. 2015.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/15:00080823
Organization unit Faculty of Informatics
ISBN 978-1-4244-9271-8
ISSN 1557-170X
Doi http://dx.doi.org/10.1109/EMBC.2015.7320283
UT WoS 000371717208103
Keywords in English collagen network geometry; confocal reflection microscopy; Matrigel; steerable filtering; pore size; cell migration
Tags cbia-web, firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2016 14:15.
Abstract
The geometry of 3D collagen networks is a key factor that influences the behavior of live cells within extracellular matrices. This paper presents a method for automatic quantification of the 3D collagen network geometry with fiber resolution in confocal reflection microscopy images. The proposed method is based on a smoothing filter and binarization of the collagen network followed by a fiber reconstruction algorithm. The method is validated on 3D collagen gels with various collagen and Matrigel concentrations. The results reveal that Matrigel affects the collagen network geometry by decreasing the network pore size while preserving the fiber length and fiber persistence length. The influence of network composition and geometry, especially pore size, is preliminarily analyzed by quantifying the migration patterns of lung cancer cells within microfluidic devices filled with three different hydrogel types. The experiments reveal that Matrigel, while decreasing pore size, stimulates cell migration. Further studies on this relationship could be instrumental for the study of cancer metastasis and other biological processes involving cell migration.
Links
EE2.3.30.0009, research and development projectName: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci
GBP302/12/G157, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii
Investor: Czech Science Foundation
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