High-throughput microfluidic single-cell trapping arrays for biomolecular and imaging analysis

被引:13
|
作者
Li, Xuan [1 ]
Lee, Abraham P. [1 ,2 ]
机构
[1] Univ Calif Irvine, Dept Biomed Engn, Irvine, CA 92697 USA
[2] Univ Calif Irvine, Dept Mech & Aerosp Engn, Irvine, CA 92717 USA
来源
MICROFLUIDICS IN CELL BIOLOGY, PT C: MICROFLUIDICS FOR CELLULAR AND SUBCELLULAR ANALYSIS | 2018年 / 148卷
关键词
PHASOR APPROACH; RNA-SEQ;
D O I
10.1016/bs.mcb.2018.09.010
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Single-cell analysis is of critical importance in revealing population heterogeneity, identifying minority sub-populations of interest, as well as discovering unique characteristics of individual cells. Microfluidic platforms work at the scale comparable to cell diameter and is suitable for single-cell manipulation. Here we present a microfluidic trapping array which is able to rapidly and deterministically trap single-cells in highly-packed microwells. This chapter first describes the design and fabrication protocols of the trapping array, and then presents its two representative applications: single-cell mRNA probing when integrated with a dielectrophoretic nanotweezer (DENT), and live-cell real-time imaging when combined with fluorescence lifetime imaging microscopy (FLIM). As the single-cell trapping efficiency is determined by the channel design instead of the flow rate, this trapping array can be coupled with different microfluidic sample processing units with different flow rates for various single-cell analyses.
引用
收藏
页码:35 / 50
页数:16
相关论文
共 50 条
  • [21] High-Throughput Analysis of Tissue-Embedded Single Cells by Mass Spectrometry with Bimodal Imaging and Object Recognition
    Stopka, Sylwia A.
    Wood, Ellen A.
    Khattar, Rikkita
    Agtuca, Beverly J.
    Abdelmoula, Walid M.
    Agar, Nathalie Y. R.
    Stacey, Gary
    Vertes, Akos
    ANALYTICAL CHEMISTRY, 2021, 93 (28) : 9677 - 9687
  • [22] Tumor cell-based liquid biopsy using high-throughput microfluidic enrichment of entire leukapheresis product
    Mishra, Avanish
    Huang, Shih-Bo
    Dubash, Taronish
    Burr, Risa
    Edd, Jon F.
    Wittner, Ben S.
    Cunneely, Quinn E.
    Putaturo, Victor R.
    Deshpande, Akansha
    Antmen, Ezgi
    Gopinathan, Kaustav A.
    Otani, Keisuke
    Miyazawa, Yoshiyuki
    Kwak, Ji Eun
    Guay, Sara Y.
    Kelly, Justin
    Walsh, John
    Nieman, Linda T.
    Galler, Isabella
    Chan, Puiyee
    Lawrence, Michael S.
    Sullivan, Ryan J.
    Bardia, Aditya
    Micalizzi, Douglas S.
    Sequist, Lecia V.
    Lee, Richard J.
    Franses, Joseph W.
    Ting, David T.
    Brunker, Patricia A. R.
    Maheswaran, Shyamala
    Miyamoto, David T.
    Haber, Daniel A.
    Toner, Mehmet
    NATURE COMMUNICATIONS, 2025, 16 (01)
  • [23] High-throughput methods for the analysis of transcription factors and chromatin modifications: Low input, single cell and spatial genomic technologies
    Salma, Mohammad
    Andrieu-Soler, Charlotte
    Deleuze, Virginie
    Soler, Eric
    BLOOD CELLS MOLECULES AND DISEASES, 2023, 101
  • [24] High-dimension single-cell analysis applied to cancer
    Wang, Lili
    Livak, Kenneth J.
    Wu, Catherine J.
    MOLECULAR ASPECTS OF MEDICINE, 2018, 59 : 70 - 84
  • [25] Single-Cell Transcriptional Analysis
    Wu, Angela R.
    Wang, Jianbin
    Streets, Aaron M.
    Huang, Yanyi
    ANNUAL REVIEW OF ANALYTICAL CHEMISTRY, VOL 10, 2017, 10 : 439 - 462
  • [26] High-throughput co-culture system for analysis of spatiotemporal cell-cell signaling
    Son, Minjun
    Wang, Andrew G.
    Kenna, Emma
    Tay, Savas
    BIOSENSORS & BIOELECTRONICS, 2023, 225
  • [27] Analysis of cancer metabolism with high-throughput technologies
    Markovets, Aleksandra A.
    Herman, Damir
    BMC BIOINFORMATICS, 2011, 12
  • [28] Single-cell Transcriptomic Analysis
    Zheng, Zhihong
    Chen, Enguo
    Lu, Weiguo
    Mouradian, Gary
    Hodges, Matthew
    Liang, Mingyu
    Liu, Pengyuan
    Lu, Yan
    COMPREHENSIVE PHYSIOLOGY, 2020, 10 (02) : 767 - 783
  • [29] Microfluidic design in single-cell sequencing and application to cancer precision medicine
    Han, Xin
    Xu, Xing
    Yang, Chaoyang
    Liu, Guozhen
    CELL REPORTS METHODS, 2023, 3 (09):
  • [30] Microfluidic single-cell transcriptomics: moving towards multimodal and spatiotemporal omics
    Lin, Shichao
    Liu, Yilong
    Zhang, Mingxia
    Xu, Xing
    Chen, Yingwen
    Zhang, Huimin
    Yang, Chaoyong
    LAB ON A CHIP, 2021, 21 (20) : 3829 - 3849