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Stressful Surfaces: Cell Metabolism on a Poorly Adhesive Substrate
The adhesion and proliferation of cells are exquisitely sensitive to the nature of the surface to which they attach. Aside from cell counting, cell “health” on surfaces is typically established by measuring the metabolic rate with dyes that participate in the metabolic pathway or using “live/dead” a...
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Published in: | Langmuir 2018-03, Vol.34 (9), p.3119-3125 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The adhesion and proliferation of cells are exquisitely sensitive to the nature of the surface to which they attach. Aside from cell counting, cell “health” on surfaces is typically established by measuring the metabolic rate with dyes that participate in the metabolic pathway or using “live/dead” assays with combinations of membrane permeable/impermeable dyes. The binary information gleaned from these testswhether cells are attached or not, and whether they are living or deadprovides an incomplete picture of cell health. In the present work, proliferation rates and net metabolism of 3T3 fibroblasts seeded on “biocompatible” ultrathin polyelectrolyte multilayer films and on control tissue culture plastic were compared. Cells adhered to, and proliferated on, both surfaces, which were shown to be nontoxic according to live/dead assays. However, adhesion was poorer on the multilayer surface, illustrated by diffuse organization of the actin cytoskeleton and less-developed focal adhesions. Proliferation was also slower on the multilayer. When normalized for the total number of cells, it was shown that cells on multilayers experienced a five-day burst of metabolic stress, after which the metabolic rate approached that of the control surface. This initial state of high stress has not been reported or appreciated in studies of cell growth on multilayers, although the observation period for this system is usually a few days. |
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ISSN: | 0743-7463 1520-5827 |
DOI: | 10.1021/acs.langmuir.7b04172 |