An algorithm-based topographical biomaterials library to instruct cell fate
| Autor: | Hemant V. Unadkat, Marc Hulsman, Kamiel Cornelissen, Bernke J. Papenburg, Roman K. Truckenmüller, Anne E. Carpenter, Matthias Wessling, Gerhard F. Post, Marc Uetz, Marcel J. T. Reinders, Dimitrios Stamatialis, Clemens A. van Blitterswijk, Jan de Boer |
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| Přispěvatelé: | Faculty of Science and Technology, Discrete Mathematics and Mathematical Programming, Biomaterials Science and Technology |
| Rok vydání: | 2011 |
| Předmět: |
Databases
Factual Polymers Surface Properties Computer science Polyesters Mesenchymal stromal cells Micro-fabrication Biocompatible Materials Nanotechnology IR-78326 Cell fate determination METIS-282993 high-throughput screening Humans Lactic Acid Cell Proliferation MSC proliferation Microscopy Confocal Multidisciplinary Random surface Mesenchymal Stem Cells Micro fabrication Biocompatible material High-Throughput Screening Assays EWI-20719 Microscopy Fluorescence Microscopy Electron Scanning Algorithm Algorithms |
| Zdroj: | Proceedings of the National Academy of Sciences of the United States of America, 108(40), 16565-16570. National Academy of Sciences |
| ISSN: | 1091-6490 0027-8424 |
| DOI: | 10.1073/pnas.1109861108 |
| Popis: | It is increasingly recognized that material surface topography is able to evoke specific cellular responses, endowing materials with instructive properties that were formerly reserved for growth factors. This opens the window to improve upon, in a cost-effective manner, biological performance of any surface used in the human body. Unfortunately, the interplay between surface topographies and cell behavior is complex and still incompletely understood. Rational approaches to search for bioactive surfaces will therefore omit previously unperceived interactions. Hence, in the present study, we use mathematical algorithms to design nonbiased, random surface features and produce chips of poly(lactic acid) with 2,176 different topographies. With human mesenchymal stromal cells (hMSCs) grown on the chips and using high-content imaging, we reveal unique, formerly unknown, surface topographies that are able to induce MSC proliferation or osteogenic differentiation. Moreover, we correlate parameters of the mathematical algorithms to cellular responses, which yield novel design criteria for these particular parameters. In conclusion, we demonstrate that randomized libraries of surface topographies can be broadly applied to unravel the interplay between cells and surface topography and to find improved material surfaces. |
| Databáze: | OpenAIRE |
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