4.8 Article

Facile Production of Large-Area Cell Arrays Using Surface-Assembled Microdroplets

期刊

ADVANCED SCIENCE
卷 7, 期 15, 页码 -

出版社

WILEY
DOI: 10.1002/advs.202000769

关键词

cell arrays; microassembly; microdroplets; surface chemistry; tissue engineering

资金

  1. Nebraska Center for Integrated Biomolecular Communication (NCIBC) through the National Institutes of Health National Institute of General Medical Sciences [NIH NIGMS P20GM113126]
  2. Nebraska Center for Nanomedicine [NIH NIGMS P30GM127200]
  3. National Science Foundation (NSF) [1826135]
  4. Department of Chemistry
  5. Nebraska Center for Materials and Nanoscience (NCMN)
  6. NSF [1555356]
  7. Div Of Civil, Mechanical, & Manufact Inn
  8. Directorate For Engineering [1826135] Funding Source: National Science Foundation

向作者/读者索取更多资源

Techniques that enable the spatial arrangement of living cells into defined patterns are broadly applicable to tissue engineering, drug screening, and cell-cell investigations. Achieving large-scale patterning with single-cell resolution while minimizing cell stress/damage is, however, technically challenging using existing methods. Here, a facile and highly scalable technique for the rational design of reconfigurable arrays of cells is reported. Specifically, microdroplets of cell suspensions are assembled using stretchable surface-chemical patterns which, following incubation, yield ordered arrays of cells. The microdroplets are generated using a microfluidic-based aerosol spray nozzle that enables control of the volume/size of the droplets delivered to the surface. Assembly of the cell-loaded microdroplets is achieved via mechanically induced coalescence using substrates with engineered surface-wettability patterns based on extracellular matrices. Robust cell proliferation inside the patterned areas is demonstrated using standard culture techniques. By combining the scalability of aerosol-based delivery and microdroplet surface assembly with user-defined chemical patterns of controlled functionality, the technique reported here provides an innovative methodology for the scalable generation of large-area cell arrays with flexible geometries and tunable resolution.

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