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Hierarchical Biointerfaces Assembled by Leukocyte-Inspired Particles for Specifically Recognizing Cancer Cells

Authors

  • Jingxin Meng,

    1. Laboratory of Bio-inspired Smart Interface Science, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing, P. R. China
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  • Hongliang Liu,

    1. Laboratory of Bio-inspired Smart Interface Science, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing, P. R. China
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  • Xueli Liu,

    1. Beijing National Laboratory for Molecular Sciences (BNLMS), Key Laboratory of Organic Solids Institute of Chemistry, Chinese Academy of Science, Beijing, P. R. China
    2. Graduate School of Chinese Academy of Sciences, Beijing, P. R. China
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  • Gao Yang,

    1. Beijing National Laboratory for Molecular Sciences (BNLMS), Key Laboratory of Organic Solids Institute of Chemistry, Chinese Academy of Science, Beijing, P. R. China
    2. Graduate School of Chinese Academy of Sciences, Beijing, P. R. China
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  • Pengchao Zhang,

    1. Beijing National Laboratory for Molecular Sciences (BNLMS), Key Laboratory of Organic Solids Institute of Chemistry, Chinese Academy of Science, Beijing, P. R. China
    2. Graduate School of Chinese Academy of Sciences, Beijing, P. R. China
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  • Shutao Wang,

    Corresponding author
    1. Laboratory of Bio-inspired Smart Interface Science, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing, P. R. China
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  • Lei Jiang

    1. Beijing National Laboratory for Molecular Sciences (BNLMS), Key Laboratory of Organic Solids Institute of Chemistry, Chinese Academy of Science, Beijing, P. R. China
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Abstract

By mimicking certain biochemical and physical attributes of biological cells, bio-inspired particles have attracted great attention for potential biomedical applications based on cell-like biological functions. Inspired by leukocytes, hierarchical biointerfaces are designed and prepared based on specific molecules-modified leukocyte-inspired particles. These biointerfaces can efficiently recognize cancer cells from whole blood samples through the synergistic effect of molecular recognition and topographical interaction. Compared to flat, mono-micro or nano-biointerfaces, these micro/nano hierarchical biointerfaces are better able to promote specific recognition interactions, resulting in an enhanced cell-capture efficiency. It is anticipated that this study may provide promising guidance to develop new bio-inspired hierarchical biointerfaces for biomedical applications.

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