Microfluidics as a Strategic Player to Decipher Single-Cell Omics?

被引:18
|
作者
Caen, Ouriel [1 ]
Lu, Heng [1 ]
Nizard, Philippe [1 ]
Taly, Valerie [1 ]
机构
[1] Paris Descartes Univ, CNRS SNC5014, INSERM UMR S1147, Equipe Labellisee Ligue Natl Canc, Paris, France
关键词
DROPLET-BASED MICROFLUIDICS; WHOLE-GENOME AMPLIFICATION; LARGE-SCALE INTEGRATION; HIGH-THROUGHPUT; RNA-SEQ; MULTIPARAMETER ANALYSIS; SIGNALING PATHWAYS; NANOLITER DROPLETS; DRUG DISCOVERY; TUMOR-CELLS;
D O I
10.1016/j.tibtech.2017.05.004
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Most cell studies are performed at a population level, relying on the assumption of a normal distribution of the function and fate of a cell among a population. However, technologies allowing single-cell analysis (SCA) have recently arisen and have led to increasing evidence of cell population heterogeneity and its importance. Tremendous amounts of new data could now be uncovered to redefine our understanding of cell omics. Microfluidics has emerged as a major technological player in this new era and is gradually increasing in use among biology laboratories, mainly due to the single-cell high-throughput handling solutions it offers. In this review, we assess its use and relevance for omics analysis at the single-cell level, with a specific focus on compartment-based microfluidic approaches.
引用
收藏
页码:713 / 727
页数:15
相关论文
共 50 条
  • [41] Single-cell multimodal omics: the power of many
    Chenxu Zhu
    Sebastian Preissl
    Bing Ren
    Nature Methods, 2020, 17 : 11 - 14
  • [42] Interpretable deep learning in single-cell omics
    Wagle, Manoj M.
    Long, Siqu
    Chen, Carissa
    Liu, Chunlei
    Yang, Pengyi
    BIOINFORMATICS, 2024, 40 (06)
  • [43] Single-cell OMICs analyses in cardiovascular diseases
    Sonawane, Abhijeet Rajendra
    Puceat, Michel
    Jo, Hanjoong
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2024, 11
  • [44] Microfluidics-based cell culture for single-cell analysis
    Kim, Samuel
    Hall, Eric
    Zare, Richard N.
    BIOPHYSICAL JOURNAL, 2007, : 650A - 650A
  • [45] Single-cell RNA-seq to decipher tumour architecture
    Cloney, Ross
    NATURE REVIEWS GENETICS, 2017, 18 (01) : 2 - 3
  • [46] Single-cell RNA-seq to decipher tumour architecture
    Ross Cloney
    Nature Reviews Genetics, 2017, 18 : 2 - 3
  • [47] A single-cell decipher of human uterine leukocytes at early pregnancy
    Wang, F.
    Jia, W.
    Li, Z.
    Ma, Y.
    Tu, Q.
    Wang, Y. -L
    EUROPEAN JOURNAL OF IMMUNOLOGY, 2019, 49 : 1383 - 1383
  • [48] High efficiency single-cell capture based on microfluidics for single cell analysis
    Fan, Weihua
    Qiao, Miaomiao
    Jin, Yan
    Zhou, Hongbo
    Ge, Yuqing
    Jin, Qinghui
    Zhao, Jianlong
    JOURNAL OF MICROMECHANICS AND MICROENGINEERING, 2019, 29 (03)
  • [49] Label-free microfluidics for single-cell analysis
    Chen, Yao
    Zhou, Zheng
    Zhu, Shu
    Ni, Zhonghua
    Xiang, Nan
    MICROCHEMICAL JOURNAL, 2022, 177
  • [50] Virtual microfluidics for digital quantification and single-cell sequencing
    Xu, Liyi
    Brito, Ilana L.
    Alm, Eric J.
    Blainey, Paul C.
    NATURE METHODS, 2016, 13 (09) : 759 - 762