Cytometry: Today's technology and tomorrow's horizons

被引:92
作者
Chattopadhyay, Pratip K. [1 ]
Roederer, Mario [1 ]
机构
[1] NIAID, ImmunoTechnol Sect, VRC, NIH, Bethesda, MD 20817 USA
关键词
Flow cytometry; Single-cell analysis; Data analysis; Polychromatic flow cytometry; Fluorescence reagents; POLYCHROMATIC FLOW-CYTOMETRY; T-CELL RESPONSES; IMMUNE; FOXP3; IDENTIFICATION; EXPRESSION; PROTECTION; PHENOTYPE; LINEAGE; SUBSETS;
D O I
10.1016/j.ymeth.2012.02.009
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Flow cytometry has been the premier tool for single cell analysis since its invention in the 1960s. It has maintained this position through steady advances in technology and applications, becoming the main force behind interrogating the complexities of the immune system. Technology development was a three-pronged effort, including the hardware, reagents, and analysis algorithms to allow measurement of as many as 20 independent parameters on each cell, at tens of thousands of cells per second. In the coming years, cytometry technology will integrate with other techniques, such as transcriptomics, metabolomics, and so forth. Ongoing efforts are aimed at algorithms to analyse these aggregated datasaets over large numbers of samples. Here we review the development efforts heralding the next stage of flow cytometry. Published by Elsevier Inc.
引用
收藏
页码:251 / 258
页数:8
相关论文
共 43 条
[1]   Rapid Cell Population Identification in Flow Cytometry Data [J].
Aghaeepour, Nima ;
Nikolic, Radina ;
Hoos, Holger H. ;
Brinkman, Ryan R. .
CYTOMETRY PART A, 2011, 79A (01) :6-13
[2]  
Bagwell CB, 2011, METHODS MOL BIOL, V699, P31, DOI 10.1007/978-1-61737-950-5_2
[3]   Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum [J].
Bendall, Sean C. ;
Simonds, Erin F. ;
Qiu, Peng ;
Amir, El-ad D. ;
Krutzik, Peter O. ;
Finck, Rachel ;
Bruggner, Robert V. ;
Melamed, Rachel ;
Trejo, Angelica ;
Ornatsky, Olga I. ;
Balderas, Robert S. ;
Plevritis, Sylvia K. ;
Sachs, Karen ;
Pe'er, Dana ;
Tanner, Scott D. ;
Nolan, Garry P. .
SCIENCE, 2011, 332 (6030) :687-696
[4]   HIV nonprogressors preferentially maintain highly functional HIV-specific CD8+ T cells [J].
Betts, Michael R. ;
Nason, Martha C. ;
West, Sadie M. ;
De Rosa, Stephen C. ;
Migueles, Stephen A. ;
Abraham, Jonathan ;
Lederman, Michael M. ;
Benito, Jose M. ;
Goepfert, Paul A. ;
Connors, Mark ;
Roederer, Mario ;
Koup, Richard A. .
BLOOD, 2006, 107 (12) :4781-4789
[5]   A chromatic explosion: the development and future of multiparameter flow cytometry [J].
Chattopadhyay, Pratip K. ;
Hogerkorp, Carl-Magnus ;
Roederer, Mario .
IMMUNOLOGY, 2008, 125 (04) :441-449
[6]   Techniques to Improve the Direct Ex Vivo Detection of Low Frequency Antigen-Specific CD8+ T Cells with Peptide-Major Histocompatibility Complex Class I Tetramers [J].
Chattopadhyay, Pratip K. ;
Melenhorst, J. Joseph ;
Ladell, Kristin ;
Gostick, Emma ;
Scheinberg, Phillip ;
Barrett, A. John ;
Wooldridge, Linda ;
Roederer, Mario ;
Sewell, Andrew K. ;
Price, David A. .
CYTOMETRY PART A, 2008, 73A (11) :1001-1009
[7]   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
[8]   Quantum Dot Technology in Flow Cytometry [J].
Chattopadhyay, Pratip K. .
RECENT ADVANCES IN CYTOMETRY, PART A: INSTRUMENTATION, METHODS, FIFTH EDITION, 2011, 102 :463-477
[9]  
Chattopadhyay Pratip K, 2004, Discov Med, V4, P255
[10]   Good Cell, Bad Cell: Flow Cytometry Reveals T-cell Subsets Important in HIV Disease [J].
Chattopadhyay, Pratip K. ;
Roederer, Mario .
CYTOMETRY PART A, 2010, 77A (07) :614-622