4.8 Article

The Galapagos Chip Platform for High-Throughput Screening of Cell Adhesive Chemical Micropatterns

Journal

SMALL
Volume 18, Issue 10, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202105704

Keywords

high-throughput screening; machine learning; mechanosensing; micropatterning; silane surface modification; thiol-ene click chemistry; YAP

Funding

  1. Dutch province of Limburg (Program Limburg INvesteert in haar Kenniseconomie/LINK) [SAS-2014-00837, SAS-2018-02477]
  2. KNFM (Karlsruhe Nano Micro Facility) [2018-020-023890]
  3. European Union Interreg Vlaanderen-Nederland project BIOMAT on a microfluidic chip [0433]
  4. Gravitation Program of the Netherlands Organization for Scientific Research [024.003.013]

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A high-throughput screening platform called Galapagos chip is developed to study the geometric aspects of cell-ECM interaction.
In vivo cells reside in a complex extracellular matrix (ECM) that presents spatially distributed biochemical and -physical cues at the nano- to micrometer scales. Chemical micropatterning is successfully used to generate adhesive islands to control where and how cells attach and restore cues of the ECM in vitro. Although chemical micropatterning has become a powerful tool to study cell-material interactions, only a fraction of the possible micropattern designs was covered so far, leaving many other possible designs still unexplored. Here, a high-throughput screening platform called Galapagos chip is developed. It contains a library of 2176 distinct subcellular chemical patterns created using mathematical algorithms and a straightforward UV-induced two-step surface modification. This approach enables the immobilization of ligands in geometrically defined regions onto cell culture substrates. To validate the system, binary RGD/polyethylene glycol patterns are prepared on which human mesenchymal stem cells are cultured, and the authors observe how different patterns affect cell and organelle morphology. As proof of concept, the cells are stained for the mechanosensitive YAP protein, and, using a machine-learning algorithm, it is demonstrated that cell shape and YAP nuclear translocation correlate. It is concluded that the Galapagos chip is a versatile platform to screen geometrical aspects of cell-ECM interaction.

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