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Journal: PLoS Computational Biology
Article Title: Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness
doi: 10.1371/journal.pcbi.1009193
Figure Lengend Snippet: (a) A heat map shows the values of Pearson’s correlation coefficient measuring the association between ECM protein concentration and the number of cells attached. (b) Substrate stiffness values investigated in this study. (c) In the designed experiment, MDA-MB-231 cells were seeded on silicone substrates of different stiffness coated with collagen type I. Afterwards, cells were cultured for 24 h, fixed, stained for biomarkers of interest and imaged using confocal microscopy.
Article Snippet: Plate wells were coated with
Techniques: Protein Concentration, Cell Culture, Staining, Confocal Microscopy