Tethering Cells via Enzymatic Oxidative Crosslinking Enables Mechanotransduction in Non-Cell-Adhesive Materials

  • Tom Kamperman
  • , Sieger Henke
  • , Joao F. Crispim
  • , Niels G. A. Willemen
  • , Pieter J. Dijkstra
  • , Wooje Lee
  • , Herman L. Offerhaus
  • , Martin Neubauer
  • , Alexandra M. Smink
  • , Paul de Vos
  • , Bart J. de Haan
  • , Marcel Karperien
  • , Su Ryon Shin
  • , Jeroen Leijten

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Cell-matrix interactions govern cell behavior and tissue function by facilitating transduction of biomechanical cues. Engineered tissues often incorporate these interactions by employing cell-adhesive materials. However, using constitutively active cell-adhesive materials impedes control over cell fate and elicits inflammatory responses upon implantation. Here, an alternative cell-material interaction strategy that provides mechanotransducive properties via discrete inducible on-cell crosslinking (DOCKING) of materials, including those that are inherently non-cell-adhesive, is introduced. Specifically, tyramine-functionalized materials are tethered to tyrosines that are naturally present in extracellular protein domains via enzyme-mediated oxidative crosslinking. Temporal control over the stiffness of on-cell tethered 3D microniches reveals that DOCKING uniquely enables lineage programming of stem cells by targeting adhesome-related mechanotransduction pathways acting independently of cell volume changes and spreading. In short, DOCKING represents a bioinspired and cytocompatible cell-tethering strategy that offers new routes to study and engineer cell-material interactions, thereby advancing applications ranging from drug delivery, to cell-based therapy, and cultured meat.
Original languageEnglish
Article number2102660
Number of pages17
JournalAdvanced Materials
Volume33
Issue number42
Early online dateSept 2021
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

Keywords

  • Adhesomes
  • Biomechanics
  • Cell volume
  • Inflammation
  • Lineage commitment
  • Single-cell analysis
  • Stem cell microniches

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