Deep Profiling Human T Cell Heterogeneity by Mass Cytometry

被引:18
作者
Cheng, Y. [1 ,2 ]
Newell, E. W. [1 ,2 ]
机构
[1] Agcy Sci Technol & Res, Singapore Immunol Network, Singapore, Singapore
[2] Nanyang Technol Univ, Sch Biol Sci, Singapore, Singapore
来源
ADVANCES IN IMMUNOLOGY, VOL 131 | 2016年 / 131卷
关键词
TISSUE-SPECIFICITY; IMMUNE-SYSTEM; MEMORY; DIFFERENTIATION; EFFECTOR; DISTINCT; EXPRESSION; ANTIGENS; SUBSETS; IDENTIFICATION;
D O I
10.1016/bs.ai.2016.02.002
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Advances of mass cytometry and high-dimensional single-cell data analysis have brought cellular immunological research into a new generation. By coupling these two powerful technology platforms, immunologists now have more tools to resolve the tremendous diversity of immune cell subsets, and their heterogeneous functionality. Since the first introduction of mass cytometry, many reports have been published using this novel technology to study a range of cell types. At the outset, studies of human hematopoietic stem cell and peripheral CD8(+) T cells using mass cytometry have shad the light of future experimental approach in interrogating immune cell phenotypic and functional diversity. Here, we briefly revisit the past and present understanding of T cell heterogeneity, and the technologies that facilitate this knowledge. In addition, we review the current progress of mass cytometry and high-dimensional cytometric analysis, including the methodology, panel design, experimental procedure, and choice of computational algorithms with a special focus on their utility in exploration of human T cell immunology.
引用
收藏
页码:101 / 134
页数:34
相关论文
共 116 条
[1]  
Aghaeepour N, 2013, NAT METHODS, V10, P228, DOI [10.1038/NMETH.2365, 10.1038/nmeth.2365]
[2]   Phenotypic analysis of antigen-specific T lymphocytes [J].
Altman, JD ;
Moss, PAH ;
Goulder, PJR ;
Barouch, DH ;
McHeyzerWilliams, MG ;
Bell, JI ;
McMichael, AJ ;
Davis, MM .
SCIENCE, 1996, 274 (5284) :94-96
[3]   viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia [J].
Amir, El-ad David ;
Davis, Kara L. ;
Tadmor, Michelle D. ;
Simonds, Erin F. ;
Levine, Jacob H. ;
Bendall, Sean C. ;
Shenfeld, Daniel K. ;
Krishnaswamy, Smita ;
Nolan, Garry P. ;
Pe'er, Dana .
NATURE BIOTECHNOLOGY, 2013, 31 (06) :545-+
[4]  
Angerer P., 2015, BIOINFORMATICS UNPUB
[5]  
Arens R, 2010, IMMUNOL REV, V235, P190, DOI 10.1111/j.0105-2896.2010.00899.x
[6]   CD8+ T cell diversification by asymmetric cell division Response [J].
Arsenio, Janilyn ;
Kakaradov, Boyko ;
Metz, Patrick ;
Yeo, Gene W. ;
Chang, John T. .
NATURE IMMUNOLOGY, 2015, 16 (09) :893-894
[7]   Early specification of CD8+ T lymphocyte fates during adaptive immunity revealed by single-cell gene-expression analyses [J].
Arsenio, Janilyn ;
Kakaradov, Boyko ;
Metz, Patrick J. ;
Kim, Stephanie H. ;
Yeo, Gene W. ;
Chang, John T. .
NATURE IMMUNOLOGY, 2014, 15 (04) :365-+
[8]   Mass Cytometry: Technique for Real Time Single Cell Multitarget Immunoassay Based on Inductively Coupled Plasma Time-of-Flight Mass Spectrometry [J].
Bandura, Dmitry R. ;
Baranov, Vladimir I. ;
Ornatsky, Olga I. ;
Antonov, Alexei ;
Kinach, Robert ;
Lou, Xudong ;
Pavlov, Serguei ;
Vorobiev, Sergey ;
Dick, John E. ;
Tanner, Scott D. .
ANALYTICAL CHEMISTRY, 2009, 81 (16) :6813-6822
[9]   Location, location, location: the impact of migratory heterogeneity on T cell function [J].
Beaten, Bas J. G. ;
Cooper, Andrea M. ;
Swain, Susan L. ;
Bradley, Linda M. .
FRONTIERS IN IMMUNOLOGY, 2013, 4
[10]   Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development [J].
Bendall, Sean C. ;
Davis, Kara L. ;
Amir, El-ad David ;
Tadmor, Michelle D. ;
Simonds, Erin F. ;
Chen, Tiffany J. ;
Shenfeld, Daniel K. ;
Nolan, Garry P. ;
Pe'er, Dana .
CELL, 2014, 157 (03) :714-725