Parallel droplet microfluidics for high throughput cell encapsulation and synthetic microgel generation

被引:0
|
作者
Devon M. Headen
José R. García
Andrés J. García
机构
[1] Woodruff School of Mechanical Engineering,
[2] Georgia Institute of Technology,undefined
[3] Petit Institute for Bioengineering and Biosciences,undefined
[4] Georgia Institute of Technology,undefined
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Cells can be microencapsulated in synthetic hydrogel microspheres (microgels) using droplet microfluidics, but microfluidic devices with a single droplet generating geometry have limited throughput, especially as microgel diameter decreases. Here we demonstrate microencapsulation of human mesenchymal stem cells (hMSCs) in small (<100 μm diameter) microgels utilizing parallel droplet generators on a two-layer elastomer device, which has 600% increased throughput vs. single-nozzle devices. Distribution of microgel diameters were compared between products of parallel vs. single-nozzle configurations for two square nozzle widths, 35 and 100 μm. Microgels produced on parallel nozzles were equivalent to those produced on single nozzles, with substantially the same polydispersity. Microencapsulation of hMSCs was compared for parallel nozzle devices of each width. Thirty five micrometer wide nozzle devices could be operated at twice the cell concentration of 100 μm wide nozzle devices but produced more empty microgels than predicted by a Poisson distribution. Hundred micrometer wide nozzle devices produced microgels as predicted by a Poisson distribution. Polydispersity of microgels did not increase with the addition of cells for either nozzle width. hMSCs encapsulated on 35 μm wide nozzle devices had reduced viability (~70%) and a corresponding decrease in vascular endothelial growth factor (VEGF) secretion compared to hMSCs cultured on tissue culture (TC) plastic. Encapsulating hMSCs using 100 μm wide nozzle devices mitigated loss of viability and function, as measured by VEGF secretion.
引用
收藏
相关论文
共 50 条
  • [31] Split-GFP and droplet microfluidics allows high-throughput screening of mammalian cell factories
    Rockberg, Johan
    NEW BIOTECHNOLOGY, 2016, 33 : S51 - S51
  • [32] A review of the theory, methods and recent applications of high-throughput single-cell droplet microfluidics
    Lagus, Todd P.
    Edd, Jon F.
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2013, 46 (11)
  • [33] Split-GFP and droplet microfluidics allows high-throughput screening of mammalian cell factories
    Rockberg, Johan
    NEW BIOTECHNOLOGY, 2016, 33 : S34 - S34
  • [34] "One-to-three" droplet generation in digital microfluidics for parallel chemiluminescence immunoassays
    Jin, Kai
    Hu, Chenxuan
    Hu, Siyi
    Hu, Chengyou
    Li, Jinhua
    Ma, Hanbin
    LAB ON A CHIP, 2021, 21 (15) : 2892 - 2900
  • [35] High-throughput screening for industrial enzyme production hosts by droplet microfluidics
    Sjostrom, Staffan L.
    Bai, Yunpeng
    Huang, Mingtao
    Liu, Zihe
    Nielsen, Jens
    Joensson, Haakan N.
    Svahn, Helene Andersson
    LAB ON A CHIP, 2014, 14 (04) : 806 - 813
  • [36] High-throughput droplet-based microfluidics for directed evolution of enzymes
    Chiu, Flora W. Y.
    Stavrakis, Stavros
    ELECTROPHORESIS, 2019, 40 (21) : 2860 - 2872
  • [37] Droplet microfluidics platform for the high-throughput screening of photoredox catalysis reactions
    Sun, Alexandra
    Steyer, Daniel
    Shay, Brian
    Kennedy, Robert
    Stephenson, Corey
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 256
  • [38] SERS-based droplet microfluidics for high-throughput gradient analysis
    Jeon, Jinhyeok
    Choi, Namhyun
    Chen, Hao
    Moon, Joung-Il
    Chen, Lingxin
    Choo, Jaebum
    LAB ON A CHIP, 2019, 19 (04) : 674 - 681
  • [39] Droplet Microfluidics-Enabled High-Throughput Screening for Protein Engineering
    Weng, Lindong
    Spoonamore, James E.
    MICROMACHINES, 2019, 10 (11)
  • [40] High-throughput functional screening for next-generation cancer immunotherapy using droplet-based microfluidics
    Wang, Yuan
    Jin, Ruina
    Shen, Bingqing
    Li, Na
    Zhou, He
    Wang, Wei
    Zhao, Yingjie
    Huang, Mengshi
    Fang, Pan
    Wang, Shanshan
    Mary, Pascaline
    Wang, Ruikun
    Ma, Peixiang
    Li, Ruonan
    Tian, Yujie
    Cao, Youjia
    Li, Fubin
    Schweizer, Liang
    Zhang, Hongkai
    SCIENCE ADVANCES, 2021, 7 (24)