Immune monitoring using mass cytometry and related high-dimensional imaging approaches

被引:118
|
作者
Hartmann, Felix J. [1 ]
Bendall, Sean C. [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Pathol, Palo Alto, CA 94304 USA
基金
瑞士国家科学基金会;
关键词
SINGLE-CELL ANALYSIS; FLOW-CYTOMETRY; B-CELLS; SUBCELLULAR RESOLUTION; T-CELLS; REVEALS; SIGNATURE; DISEASE; IDENTIFICATION; PROGRESSION;
D O I
10.1038/s41584-019-0338-z
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The cellular complexity and functional diversity of the human immune system necessitate the use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as rheumatic diseases, as well as other autoimmune and inflammatory disorders. Proteomic technologies that use elemental (heavy metal) reporter ions, such as mass cytometry (also known as CyTOF) and analogous high-dimensional imaging approaches (including multiplexed ion beam imaging (MIBI) and imaging mass cytometry (IMC)), have been developed from their low-dimensional counterparts, flow cytometry and immunohistochemistry, to meet this need. A growing number of studies have been published that use these technologies to identify functional biomarkers and therapeutic targets in rheumatic diseases, but the full potential of their application to rheumatic disease research has yet to be fulfilled. This Review introduces the underlying technologies for high-dimensional immune monitoring and discusses aspects necessary for their successful implementation, including study design principles, analytical tools and future developments for the field of rheumatology. Single-cell proteomic techniques that use elemental (heavy metal) reporter ions increase the number of parameters that can be studied at once in whole tissues. This Review discusses the practical aspects of using such technologies in rheumatic disease research.
引用
收藏
页码:87 / 99
页数:13
相关论文
共 50 条
  • [1] Imaging mass cytometry for high-dimensional tissue profiling in the eye
    Schlecht, Anja
    Boneva, Stefaniya
    Salie, Henrike
    Killmer, Saskia
    Wolf, Julian
    Hajdu, Rozina Ida
    Auw-Haedrich, Claudia
    Agostini, Hansjurgen
    Reinhard, Thomas
    Schlunck, Gunther
    Bengsch, Bertram
    Lange, Clemens A. K.
    BMC OPHTHALMOLOGY, 2021, 21 (01)
  • [2] Characterization of pulmonary immune responses to hyperoxia by high-dimensional mass cytometry analyses
    Hanidziar, D.
    Nakahori, Y.
    Cahill, L. A.
    Gallo, D.
    Keegan, J. W.
    Nguyen, J. P.
    Otterbein, L. E.
    Lederer, J. A.
    Robson, S. C.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [3] Analyzing high-dimensional cytometry data using FlowSOM
    Quintelier, Katrien
    Couckuyt, Artuur
    Emmaneel, Annelies
    Aerts, Joachim
    Saeys, Yvan
    Van Gassen, Sofie
    NATURE PROTOCOLS, 2021, 16 (08) : 3775 - 3801
  • [4] Phenotypic Landscape of Immune Cells in Sepsis: Insights from High-Dimensional Mass Cytometry
    Park, Sehee
    Perumalsamy, Haribalan
    Gerelkhuu, Zayakhuu
    Sunderraj, Sneha
    Lee, Yangsoon
    Yoon, Tae Hyun
    ACS INFECTIOUS DISEASES, 2024, : 2390 - 2402
  • [5] Standardization and quality control for high-dimensional mass cytometry studies of human samples
    Kleinsteuber, Katja
    Corleis, Bjoern
    Rashidi, Narges
    Nchinda, Nzuekoh
    Lisanti, Antonella
    Cho, Josalyn L.
    Medoff, Benjamin D.
    Kwon, Douglas
    Walker, Bruce D.
    CYTOMETRY PART A, 2016, 89A (10) : 903 - 913
  • [6] Single-cell high-dimensional imaging mass cytometry: one step beyond in oncology
    Glasson, Yael
    Chepeaux, Laure-Agnes
    Dume, Anne-Sophie
    Lafont, Virginie
    Faget, Julien
    Bonnefoy, Nathalie
    Michaud, Henri-Alexandre
    SEMINARS IN IMMUNOPATHOLOGY, 2023, 45 (01) : 17 - 28
  • [7] Imaging mass cytometry: High-dimensional and single-cell perspectives on the microenvironment of solid tumours
    Liu, Zehan
    Xun, Jing
    Liu, Shuangqing
    Wang, Botao
    Zhang, Aimin
    Zhang, Lanqiu
    Wang, Ximo
    Zhang, Qi
    PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 2022, 175 : 140 - 146
  • [8] Early-Life Compartmentalization of Immune Cells in Human Fetal Tissues Revealed by High-Dimensional Mass Cytometry
    Li, Na
    van Unen, Vincent
    Guo, Nannan
    Abdelaal, Tamim
    Somarakis, Antonios
    Eggermont, Jeroen
    Mahfouz, Ahmed
    Lopes, Susana M. Chuva de Sousa
    Lelieveldt, Boudewijn P. F.
    Koning, Frits
    FRONTIERS IN IMMUNOLOGY, 2019, 10
  • [9] Algorithmic Tools for Mining High-Dimensional Cytometry Data
    Chester, Cariad
    Maecker, Holden T.
    JOURNAL OF IMMUNOLOGY, 2015, 195 (03) : 773 - 779
  • [10] Comparison of Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data
    Weber, Lukas M.
    Robinson, Mark D.
    CYTOMETRY PART A, 2016, 89A (12) : 1084 - 1096