Advanced search
1 file | 1.43 MB

Quantitative evaluation of single cell spread on collagen matrices

Elly De Vlieghere (UGent) , Glenn Wagemans (UGent) , S De Backer, Zuzanna Drebert (UGent) , Joke Tommelein (UGent) , Quentin Rousseau (UGent) , B Weyn, Marleen Van Troys (UGent) , Marc Bracke (UGent) and Olivier De Wever (UGent)
(2016) EXPERIMENTAL CELL RESEARCH. 349(1). p.168-178
Author
Organization
Abstract
Cells change their morphology as a response to environmental cues. The quantitative evaluation of single cell spread on extracellular matrices, such as type I collagen, is a key tool in cancer research. Inherent to the manual scoring of cellular spread is inter-observer but also intra-observer variation. To overcome these problems, we have developed the Morphology Analysis Software (MAS). MAS scores phase-contrast images of cells on native type I collagen gels and identifies whether a cell has a spread or round morphology using a combination of four unique parameters: the presence of a cellular extension, the cell area, the cell eccentricity and cell circularity. The MAS software scores are equivalent to the average score of five independent observers but MAS is faster, more objective and standardized. A functional screening assay using six cytokines identified TGF alpha as a stimulator of HCTS/EI I and SK-BR-3 single cell spreading on top of type I collagen gels. This change in morphology correlates with increased migration potential as evidenced by xCELLigence migration assays and are counteracted by EGFR signaling pathway inhibitors. This underscores the use of morphology classification on a population of unlabeled cells as read-out of an important cancer cell property and the potential for the MAS software in drug screening strategies.
Keywords
Cell morphology, Native type I collagen, Phase-contrast, Migration, MICROSCOPY IMAGES, TUMOR-CELLS, LIVE CELL, INVASION, MIGRATION, QUANTIFICATION, MORPHOLOGY, PHENOTYPE, TIME, MICROENVIRONMENT

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.43 MB

Citation

Please use this url to cite or link to this publication:

Chicago
De Vlieghere, Elly, Glenn Wagemans, S De Backer, Zuzanna Drebert, Joke Tommelein, Quentin Rousseau, B Weyn, Marleen Van Troys, Marc Bracke, and Olivier De Wever. 2016. “Quantitative Evaluation of Single Cell Spread on Collagen Matrices.” Experimental Cell Research 349 (1): 168–178.
APA
De Vlieghere, E., Wagemans, G., De Backer, S., Drebert, Z., Tommelein, J., Rousseau, Q., Weyn, B., et al. (2016). Quantitative evaluation of single cell spread on collagen matrices. EXPERIMENTAL CELL RESEARCH, 349(1), 168–178.
Vancouver
1.
De Vlieghere E, Wagemans G, De Backer S, Drebert Z, Tommelein J, Rousseau Q, et al. Quantitative evaluation of single cell spread on collagen matrices. EXPERIMENTAL CELL RESEARCH. 2016;349(1):168–78.
MLA
De Vlieghere, Elly, Glenn Wagemans, S De Backer, et al. “Quantitative Evaluation of Single Cell Spread on Collagen Matrices.” EXPERIMENTAL CELL RESEARCH 349.1 (2016): 168–178. Print.
@article{8515572,
  abstract     = {Cells change their morphology as a response to environmental cues. The quantitative evaluation of single cell spread on extracellular matrices, such as type I collagen, is a key tool in cancer research. Inherent to the manual scoring of cellular spread is inter-observer but also intra-observer variation. To overcome these problems, we have developed the Morphology Analysis Software (MAS). MAS scores phase-contrast images of cells on native type I collagen gels and identifies whether a cell has a spread or round morphology using a combination of four unique parameters: the presence of a cellular extension, the cell area, the cell eccentricity and cell circularity. The MAS software scores are equivalent to the average score of five independent observers but MAS is faster, more objective and standardized. A functional screening assay using six cytokines identified TGF alpha as a stimulator of HCTS/EI I and SK-BR-3 single cell spreading on top of type I collagen gels. This change in morphology correlates with increased migration potential as evidenced by xCELLigence migration assays and are counteracted by EGFR signaling pathway inhibitors. This underscores the use of morphology classification on a population of unlabeled cells as read-out of an important cancer cell property and the potential for the MAS software in drug screening strategies.},
  author       = {De Vlieghere, Elly and Wagemans, Glenn and De Backer, S and Drebert, Zuzanna and Tommelein, Joke and Rousseau, Quentin and Weyn, B and Van Troys, Marleen and Bracke, Marc and De Wever, Olivier},
  issn         = {0014-4827},
  journal      = {EXPERIMENTAL CELL RESEARCH},
  keyword      = {Cell morphology,Native type I collagen,Phase-contrast,Migration,MICROSCOPY IMAGES,TUMOR-CELLS,LIVE CELL,INVASION,MIGRATION,QUANTIFICATION,MORPHOLOGY,PHENOTYPE,TIME,MICROENVIRONMENT},
  language     = {eng},
  number       = {1},
  pages        = {168--178},
  title        = {Quantitative evaluation of single cell spread on collagen matrices},
  url          = {http://dx.doi.org/10.1016/j.yexcr.2016.10.010},
  volume       = {349},
  year         = {2016},
}

Altmetric
View in Altmetric
Web of Science
Times cited: