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SUMMARY:Talking to Cells: Surface Topography as a Tool to Optimize Biomate
 rials
DTSTART:20160831T110000
DTSTAMP:20260528T052738Z
UID:ce61d4f4f1c917d8bdcd05db4eacfaa51ea158c6dbf9fa9c8768ae32
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Aurélie Carlier\, Maastricht University (NL)\nBIOENGINE
 ERING SEMINARAbstract:\nTopographical cues have been shown to influence ce
 ll fate dramatically [1]. This phenomenon opens new opportunities to desig
 n the interaction between biomaterials and biological tissues in a predict
 able 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 f
 ashion on polymers using microfabrication techniques [2]. The 2176 topogra
 phical features were randomly selected from an in silico library of more t
 han 150 million of topographies\, which were based on combinations of simp
 le geometric elements such as circles\, triangles and rectangles. After ce
 ll 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 topog
 raphy and cell response. Previously\, we have demonstrated that these surf
 aces 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 modul
 ate the ALP expression in human mesenchymal stromal cells\, as well as plu
 ripotency in human induced pluripotent stem (iPS) cells. In the future\, w
 e intend to further extend this data driven platform for materials design 
 to test other biomaterial’s characteristics as well as to develop advanc
 ed computational techniques to enhance our fundamental understanding of ce
 ll-biomaterial interactions.\n[1] Bettinger et. al.\, 2009\, Angewandte Ch
 emie\, 48.30\n[2] Unadkat et al.\, 2011\, PNAS\, 16565–16570\n[3] Hulsma
 n et al.\, 2015\, Acta Biomater\, 29-38Bio:\nAurélie Carlier is tenure tr
 ack assistant professor in the cBITE group at the MERLN Institute in Maast
 richt\, the Netherlands. She received both her MSc (2010) and PhD degree (
 2014) in Biomedical Engineering at the KU Leuven\, Belgium. Her research i
 nterests encompass the computational modelling of biological processes\, w
 ith a particular focus on bone tissue engineering and cell-biomaterial int
 eractions. She is the author of 10 ISI indexed journal papers\, 2 book cha
 pters and over 30 full conference proceedings and abstracts. Her research 
 achievements have been awarded with a number of distinctions\, including t
 he Reinhart Heinrich Doctoral Thesis Award (ESMTB\, 2015) and the Best Doc
 toral Thesis Award (ESB\, 2015). She has also been elected as member of th
 e Tissue Engineering Young Investigator Council (TEN YIC\, 2016) and recen
 tly received a prestigious VENI career development grant (0.25 M€) from 
 the Dutch Science Foundation.
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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