Talking to Cells: Surface Topography as a Tool to Optimize Biomaterials
Event details
| Date | 31.08.2016 |
| Hour | 11:00 |
| Speaker | Prof. Aurélie Carlier, Maastricht University (NL) |
| Location | |
| Category | Conferences - Seminars |
BIOENGINEERING SEMINAR
Abstract:
Topographical cues have been shown to influence cell fate dramatically [1]. This phenomenon opens new opportunities to design the interaction between biomaterials and biological tissues in a predictable manner. Unfortunately, the exact mechanism of topographical control of cell behavior remains largely unknown. We have therefore established a high throughput screening platform of surface topography (the TopoChip), which consists of 2176 unique surfaces that are reproduced in an arrayed fashion on polymers using microfabrication techniques [2]. The 2176 topographical features were randomly selected from an in silico library of more than 150 million of topographies, which were based on combinations of simple geometric elements such as circles, triangles and rectangles. After cell seeding, we use quantitative high content imaging and machine learning algorithms to characterize the response of the cells to the thousands of different surfaces and learn more about the relation between surface topography and cell response. Previously, we have demonstrated that these surfaces significantly affect cell shape, including the roundness and size of the nucleus, as well as the perimeter and orientation of the cells [3]. Moreover, we have shown that these topographies can also be used to modulate the ALP expression in human mesenchymal stromal cells, as well as pluripotency in human induced pluripotent stem (iPS) cells. In the future, we intend to further extend this data driven platform for materials design to test other biomaterial’s characteristics as well as to develop advanced computational techniques to enhance our fundamental understanding of cell-biomaterial interactions.
[1] Bettinger et. al., 2009, Angewandte Chemie, 48.30
[2] Unadkat et al., 2011, PNAS, 16565–16570
[3] Hulsman et al., 2015, Acta Biomater, 29-38
Bio:
Aurélie Carlier is tenure track assistant professor in the cBITE group at the MERLN Institute in Maastricht, the Netherlands. She received both her MSc (2010) and PhD degree (2014) in Biomedical Engineering at the KU Leuven, Belgium. Her research interests encompass the computational modelling of biological processes, with a particular focus on bone tissue engineering and cell-biomaterial interactions. She is the author of 10 ISI indexed journal papers, 2 book chapters and over 30 full conference proceedings and abstracts. Her research achievements have been awarded with a number of distinctions, including the Reinhart Heinrich Doctoral Thesis Award (ESMTB, 2015) and the Best Doctoral Thesis Award (ESB, 2015). She has also been elected as member of the Tissue Engineering Young Investigator Council (TEN YIC, 2016) and recently received a prestigious VENI career development grant (0.25 M€) from the Dutch Science Foundation.
Abstract:
Topographical cues have been shown to influence cell fate dramatically [1]. This phenomenon opens new opportunities to design the interaction between biomaterials and biological tissues in a predictable manner. Unfortunately, the exact mechanism of topographical control of cell behavior remains largely unknown. We have therefore established a high throughput screening platform of surface topography (the TopoChip), which consists of 2176 unique surfaces that are reproduced in an arrayed fashion on polymers using microfabrication techniques [2]. The 2176 topographical features were randomly selected from an in silico library of more than 150 million of topographies, which were based on combinations of simple geometric elements such as circles, triangles and rectangles. After cell seeding, we use quantitative high content imaging and machine learning algorithms to characterize the response of the cells to the thousands of different surfaces and learn more about the relation between surface topography and cell response. Previously, we have demonstrated that these surfaces significantly affect cell shape, including the roundness and size of the nucleus, as well as the perimeter and orientation of the cells [3]. Moreover, we have shown that these topographies can also be used to modulate the ALP expression in human mesenchymal stromal cells, as well as pluripotency in human induced pluripotent stem (iPS) cells. In the future, we intend to further extend this data driven platform for materials design to test other biomaterial’s characteristics as well as to develop advanced computational techniques to enhance our fundamental understanding of cell-biomaterial interactions.
[1] Bettinger et. al., 2009, Angewandte Chemie, 48.30
[2] Unadkat et al., 2011, PNAS, 16565–16570
[3] Hulsman et al., 2015, Acta Biomater, 29-38
Bio:
Aurélie Carlier is tenure track assistant professor in the cBITE group at the MERLN Institute in Maastricht, the Netherlands. She received both her MSc (2010) and PhD degree (2014) in Biomedical Engineering at the KU Leuven, Belgium. Her research interests encompass the computational modelling of biological processes, with a particular focus on bone tissue engineering and cell-biomaterial interactions. She is the author of 10 ISI indexed journal papers, 2 book chapters and over 30 full conference proceedings and abstracts. Her research achievements have been awarded with a number of distinctions, including the Reinhart Heinrich Doctoral Thesis Award (ESMTB, 2015) and the Best Doctoral Thesis Award (ESB, 2015). She has also been elected as member of the Tissue Engineering Young Investigator Council (TEN YIC, 2016) and recently received a prestigious VENI career development grant (0.25 M€) from the Dutch Science Foundation.
Practical information
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- Free