4.8 Article

Reversible hydrogels with tunable mechanical properties for optically controlling cell migration

Journal

NANO RESEARCH
Volume 11, Issue 10, Pages 5556-5565

Publisher

TSINGHUA UNIV PRESS
DOI: 10.1007/s12274-017-1890-y

Keywords

Dronpa; photo-responsive; hydrogel; mechanical properties; cell migration; artificial extracellular matrix

Funding

  1. National Natural Science Foundation of China [21522402, 21474003, 91427304, 11372279, 11572285, 11674153, 11374148, 11334004]
  2. Fundamental Research Funds for the Central Universities [020414380070, 020414380058]
  3. National Basic Research Program of China [2012CB921801, 2013CB834100]
  4. National High-tech R&D Program of China [2015AA020941]

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Synthetic hydrogels are widely used as biomimetic in vitro model systems to understand how cells respond to complex microenvironments. The mechanical properties of hydrogels are deterministic for many cellular behaviors, including cell migration, spreading, and differentiation. However, it remains a major challenge to engineer hydrogels that recapture the dynamic mechanical properties of native extracellular matrices. Here, we provide a new hydrogel platform with spatiotemporally tunable mechanical properties to assay and define cellular behaviors under light. The change in the mechanical properties of the hydrogel is effected by a photo-induced switch of the cross-linker fluorescent protein, Dronpa145N, between the tetrameric and monomeric states, which causes minimal changes to the chemical properties of the hydrogel. The mechanical properties can be rapidly and reversibly tuned for multiple cycles using visible light, as confirmed by rheological measurements and atomic force microscopy-based nano-indentation. We further demonstrated real-time and reversible modulation of cell migration behaviors on the hydrogels through photo-induced stiffness switching, with minimal invasion to the cultured cells. Hydrogels with a programmable mechanical history and a spatially defined mechanical hierarchy might serve as an ideal model system to better understand complex cellular functions.

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