Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology

被引：51
|
作者：
Patil, Subarea [1 ,2 ,3 ]
Heuser, Christoph [1 ,2 ,3 ]
de Almeida, Gustavo P. [1 ,2 ,3 ]
Theis, Fabian J. [4 ,5 ]
Zielinski, Christina E. [1 ,2 ,3 ]
机构：
[1] Tech Univ Munich, TranslaTUM, Munich, Germany
[2] Tech Univ Munich, Inst Virol, Munich, Germany
[3] German Ctr Infect Res, Partner Site Munich, Munich, Germany
[4] Helmholtz Zenbum Munchen, Inst Computat Biol, Neuherberg, Germany
[5] Tech Univ Munich, Dept Math, Munich, Germany
来源：
FRONTIERS IN IMMUNOLOGY | 2019年 / 10卷
关键词：
high-dimensional data analysis; CyTOF; single-cell profiling; single-cell genomics; visualization; trajectory inference; systems immunology; FLOW-CYTOMETRY; VISUALIZATION; HIERARCHY; MAPS;
D O I：
10.3389/fimmu.2019.01515
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
Recent advances in cytometry have radically altered the fate of single-cell proteomics by allowing a more accurate understanding of complex biological systems. Mass cytometry (CyTOF) provides simultaneous single-cell measurements that are crucial to understand cellular heterogeneity and identify novel cellular subsets. High-dimensional CyTOF data were traditionally analyzed by gating on bivariate dot plots, which are not only laborious given the quadratic increase of complexity with dimension but are also biased through manual gating. This review aims to discuss the impact of new analysis techniques for in-depths insights into the dynamics of immune regulation obtained from static snapshot data and to provide tools to immunologists to address the high dimensionality of their single-cell data.
引用
收藏
页数：12
相关论文
共 50 条
  • [21] Computational approaches for high-throughput single-cell data analysis
    Todorov, Helena
    Saeys, Yvan
    FEBS JOURNAL, 2019, 286 (08) : 1451 - 1467
  • [22] Representative Factor Generation for the Interactive Visual Analysis of High-Dimensional Data
    Turkay, Cagatay
    Lundervold, Arvid
    Lundervold, Astri Johansen
    Hauser, Helwig
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2012, 18 (12) : 2621 - 2630
  • [23] Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data
    Turkay, Cagatay
    Filzmoser, Peter
    Hauser, Helwig
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2011, 17 (12) : 2591 - 2599
  • [24] Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis
    Turkay, Cagatay
    Kaya, Erdem
    Balcisoy, Selim
    Hauser, Helwig
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2017, 23 (01) : 131 - 140
  • [25] Single Cell Proteomics for Molecular Targets in Lung Cancer: High-Dimensional Data Acquisition and Analysis
    Wang, Zheng
    Zhang, Xiaoju
    SINGLE CELL BIOMEDICINE, 2018, 1068 : 73 - 87
  • [26] Single-Cell Transcriptomics Bioinformatics and Computational Challenges
    Poirion, Olivier B.
    Zhu, Xun
    Ching, Travers
    Garmire, Lana
    FRONTIERS IN GENETICS, 2016, 7
  • [27] Machine Intelligence in Single-Cell Data Analysis: Advances and New Challenges
    Liu, Jiajia
    Fan, Zhiwei
    Zhao, Weiling
    Zhou, Xiaobo
    FRONTIERS IN GENETICS, 2021, 12
  • [28] A computational approach for phenotypic comparisons of cell populations in high-dimensional cytometry data
    Platon, Ludovic
    Pejoski, David
    Gautreau, Guillaume
    Targat, Brice
    Le Grand, Roger
    Beignon, Anne-Sophie
    Tchitchek, Nicolas
    METHODS, 2018, 132 : 66 - 75
  • [29] Immunology in the Era of Single-Cell Technologies
    Efremova, Mirjana
    Vento-Tormo, Roser
    Park, Jong-Eun
    Teichmann, Sarah A.
    James, Kylie R.
    ANNUAL REVIEW OF IMMUNOLOGY, VOL 38, 2020, 38 : 727 - 757
  • [30] High-Parameter Single-Cell Analysis
    Chattopadhyay, Pratip K.
    Winters, Aidan F.
    Lomas, Woodrow E., III
    Laino, Andressa S.
    Woods, David M.
    ANNUAL REVIEW OF ANALYTICAL CHEMISTRY, VOL 12, 2019, 12 : 411 - 430
12345