Quantitative flow cytometry leveraging droplet-based constriction microchannels with high reliability and high sensitivity

被引:4
|
作者
Yang, Guang [1 ,2 ]
Yang, Hongyu [1 ,3 ]
Zhang, Ting [1 ,3 ]
Gao, Chiyuan [1 ,3 ]
Chen, Deyong [1 ,2 ,3 ]
Wang, Junbo [1 ,2 ,3 ]
Chen, Jian [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, State Key Lab Transducer Technol, Aerosp Informat Res Inst, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Sch Future Technol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
constriction microchannels; droplet microfluidics; high reliability; high sensitivity; quantitative flow cytometry; EXPRESSION; QUANTIFICATION; CELLS;
D O I
10.1002/cyto.a.24705
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This study presented a quantitative flow cytometry leveraging droplet-based constriction microchannels with high reliability and high sensitivity. Droplets encapsulating single cells and even distribution of fluorescein labeled antibodies removed from targeted cells deformed through the constriction microchannel where the excited fluorescent signals were sampled and interpreted into numbers of proteins based on volume equivalence in measurement of droplets and calibration of fluorescence. To improve the detection reliability, a comprehensive analysis and comparison of multiple stripping agents such as proteinase K, guanidine hydrochloride, and urea was conducted. To improve the detection sensitivity, light modulation was used to address electrical noises and quartz microchannels were fabricated to address optical noises. As a demonstration, based on this quantitative flow cytometry of droplet microfluidics, (1) mutant p53 expressions of single cells were quantified as 1.95 +/- 0.60x10(5) (n(cell) = 2918 of A431) and 1.30 +/- 0.70x10(5) (n(cell) = 3954 of T47D); (2) single-cell expressions of Ras, c-Myc, and beta -tubulin were quantified as 1.90 +/- 0.59x10(5), 4.39 +/- 1.44x10(5), and 2.97 +/- 0.81x10(5) (n(cell) = 3298 of CAL 27), 1.83 +/- 0.58x10(5), 2.08 +/- 0.13x10(6), and 1.96 +/- 0.74x10(5) (n(cell) = 5459 of WSU-HN6). As a microfluidic tool capable of quantitatively estimating single-cell protein expressions, this methodology may provide a new quantitative perspective for the field of flow cytometry.
引用
收藏
页码:429 / 438
页数:10
相关论文
共 50 条
  • [21] Thermoset polyester droplet-based microfluidic devices for high frequency generation
    Kim, Jin-young
    deMello, Andrew J.
    Chang, Soo-Ik
    Hong, Jongin
    O'Hare, Danny
    LAB ON A CHIP, 2011, 11 (23) : 4108 - 4112
  • [22] Secondary Flows, Mixing, and Chemical Reaction Analysis of Droplet-Based Flow inside Serpentine Microchannels with Different Cross Sections
    Ghazimirsaeed, Erfan
    Madadelahi, Masoud
    Dizani, Mahdi
    Shamloo, Amir
    LANGMUIR, 2021, 37 (17) : 5118 - 5130
  • [23] Author Correction: High throughput single cell counting in droplet-based microfluidics
    Heng Lu
    Ouriel Caen
    Jeremy Vrignon
    Eleonora Zonta
    Zakaria El Harrak
    Philippe Nizard
    Jean-Christophe Baret
    Valérie Taly
    Scientific Reports, 10
  • [24] A high voltage direct current droplet-based electricity generator inspired by thunderbolts
    Dong, Jun
    Xu, Cunyun
    Zhu, Lili
    Zhao, Xusheng
    Zhou, Hongyu
    Liu, Haiwei
    Xu, Gaobo
    Wang, Gang
    Zhou, Guangdong
    Zeng, Qunfeng
    Song, Qunliang
    NANO ENERGY, 2021, 90 (90)
  • [25] Droplet-based cell-laden microgels for high-throughput analysis
    Li, Xiang
    Zhao, Danshan
    Wang, Yuetong
    Huang, He
    TRENDS IN BIOTECHNOLOGY, 2024, 42 (04) : 397 - 401
  • [26] High-Throughput Droplet-based Screening System for Investigating Microalgae Library
    Kim, Hyun Soo
    Guzman, Adrian R.
    Sobahi, Nebras
    Thapa, Hem R.
    Devarenne, Timothy P.
    Han, Arum
    2015 IEEE SENSORS, 2015, : 1239 - 1242
  • [27] Elastic Droplet-Based Magnetoelectric Generator for High-performance Energy Collection
    Zhang, Yonghui
    Zhang, Jiahao
    Liu, Jiyu
    Chen, Yang
    Zhou, Yuyang
    Zhao, Yue
    Zheng, Huanxi
    Liu, Xin
    ACS APPLIED MATERIALS & INTERFACES, 2024, 16 (26) : 33494 - 33503
  • [28] A new way to measure viscosity in droplet-based microfluidics for high throughput analysis
    Andre, Estelle
    Pannacci, Nicolas
    Dalmazzone, Christine
    Colin, Annie
    SOFT MATTER, 2019, 15 (03) : 504 - 514
  • [29] Droplet-Based Microfluidic Thermal Management Methods for High Performance Electronic Devices
    Yan, Zhibin
    Jin, Mingliang
    Li, Zhengguang
    Zhou, Guofu
    Shui, Lingling
    MICROMACHINES, 2019, 10 (02)
  • [30] An Integrated Flow Cytometry-Based System for RealTime, High Sensitivity Bacterial Detection and Identification
    Buzatu, Dan A.
    Moskal, Ted J.
    Williams, Anna J.
    Cooper, Willie Mae
    Mattes, William B.
    Wilkes, Jon G.
    PLOS ONE, 2014, 9 (04):