High-Parameter Single-Cell Analysis

被引:19
作者
Chattopadhyay, Pratip K. [1 ]
Winters, Aidan F. [1 ]
Lomas, Woodrow E., III [1 ]
Laino, Andressa S. [1 ]
Woods, David M. [1 ]
机构
[1] NYU Langone Hlth, Precis Immunol Lab, Perlmutter Canc Ctr, New York, NY 10016 USA
来源
ANNUAL REVIEW OF ANALYTICAL CHEMISTRY, VOL 12 | 2019年 / 12卷
关键词
high-parameter; single-cell; CyTOF; molecular cytometry; flow cytometry; MEMORY T-CELLS; FLOW-CYTOMETRY; MASS CYTOMETRY; IMMUNE-SYSTEM; AUTOMATED IDENTIFICATION; B-CELLS; TECHNOLOGIES; FLUORESCENCE; DISEASE; NANOCRYSTALS;
D O I
10.1146/annurev-anchem-061417-125927
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Thousands of transcripts and proteins confer function and discriminate cell types in the body. Using high-parameter technologies, we can now measure many of these markers at once, and multiple platforms are now capable of analysis on a cell-by-cell basis. Three high-parameter single-cell technologies have particular potential for discovering new biomarkers, revealing disease mechanisms, and increasing our fundamental understanding of cell biology. We review these three platforms (high-parameter flow cytometry, mass cytometry, and a new class of technologies called integrated molecular cytometry platforms) in this article. We describe the underlying hardware and instrumentation, the reagents involved, and the limitations and advantages of each platform. We also highlight the emerging field of high-parameter single-cell data analysis, providing an accessible overview of the data analysis process and choice of tools.
引用
收藏
页码:411 / 430
页数:20
相关论文
共 92 条
[11]   Combined single-cell quantitation of host and SIV genes and proteins ex vivo reveals host-pathogen interactions in individual cells [J].
Bolton, Diane L. ;
McGinnis, Kathleen ;
Finak, Greg ;
Chattopadhyay, Pratip ;
Gottardo, Raphael ;
Roederer, Mario .
PLOS PATHOGENS, 2017, 13 (06)
[12]   FCS 3.1 Implementation Guidance [J].
Bray, Chris ;
Spidlen, Josef ;
Brinkman, Ryan R. .
CYTOMETRY PART A, 2012, 81A (06) :523-526
[13]   Automated identification of stratifying signatures in cellular subpopulations [J].
Bruggner, Robert V. ;
Bodenmiller, Bernd ;
Dill, David L. ;
Tibshirani, Robert J. ;
Nolan, Garry P. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (26) :E2770-E2777
[14]   High-dimensional single cell analysis identifies stem-like cytotoxic CD8+ T cells infiltrating human tumors [J].
Brummelman, Jolanda ;
Mazza, Emilia M. C. ;
Alvisi, Giorgia ;
Colombo, Federico S. ;
Grilli, Andrea ;
Mikulak, Joanna ;
Mavilio, Domenico ;
Alloisio, Marco ;
Ferrari, Francesco ;
Lopci, Egesta ;
Novellis, Pierluigi ;
Veronesi, Giulia ;
Lugli, Enrico .
JOURNAL OF EXPERIMENTAL MEDICINE, 2018, 215 (10) :2520-2535
[15]   Polyfunctional and IFN-γ monofunctional human CD4+ T cell populations are molecularly distinct [J].
Burel, Julie G. ;
Apte, Simon H. ;
Groves, Penny L. ;
McCarthy, James S. ;
Doolan, Denise L. .
JCI INSIGHT, 2017, 2 (03)
[16]   Integrating single-cell transcriptomic data across different conditions, technologies, and species [J].
Butler, Andrew ;
Hoffman, Paul ;
Smibert, Peter ;
Papalexi, Efthymia ;
Satija, Rahul .
NATURE BIOTECHNOLOGY, 2018, 36 (05) :411-+
[17]   Detection of EBV genomes in plasmablasts/plasma cells and non-B cells in the blood of most patients with EBV lymphoproliferative disorders by using Immuno-FISH [J].
Calattini, Sara ;
Sereti, Irini ;
Scheinberg, Philip ;
Kimura, Hiroshi ;
Childs, Richard W. ;
Cohen, Jeffrey I. .
BLOOD, 2010, 116 (22) :4546-4559
[18]   Varicella zoster virus productively infects human natural killer cells and manipulates phenotype [J].
Campbell, Tessa Mollie ;
McSharry, Brian Patrick ;
Steain, Megan ;
Ashhurst, Thomas Myles ;
Slobedman, Barry ;
Abendroth, Allison .
PLOS PATHOGENS, 2018, 14 (04)
[19]   A Mine Is a Terrible Thing to Waste: High Content, Single Cell Technologies for Comprehensive Immune Analysis [J].
Chattopadhyay, P. K. ;
Roederer, M. .
AMERICAN JOURNAL OF TRANSPLANTATION, 2015, 15 (05) :1155-1161
[20]   Quantum dot semiconductor nanocrystals for immunophenotyping by polychromatic flow cytometry [J].
Chattopadhyay, Pratip K. ;
Price, David A. ;
Harper, Theresa F. ;
Betts, Michael R. ;
Yu, Joanne ;
Gostick, Emma ;
Perfetto, Stephen P. ;
Goepfert, Paul ;
Koup, Richard A. ;
De Rosa, Stephen C. ;
Bruchez, Marcel P. ;
Roederer, Mario .
NATURE MEDICINE, 2006, 12 (08) :972-977