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A deep profiler's guide to cytometry
Open accessAbstract
In recent years, advances in technology have provided us with tools to quantify the expression of multiple genes in individual cells. The ability to simultaneously measure multiple genes on the same cell is necessary to resolve the incredible diversity of cell subsets, as well as to define their function in the host. Fluorescence-based flow cytometry is the benchmark for this; with it, we can quantify 18 proteins per cell, at >10,000 cells per second. “Mass cytometry” is a new technology that promises to significantly extend these capabilities. Immunophenotyping by mass spectrometry provides the ability to measure more than three dozen proteins at a rate of 1,000 cells per second. We review these cytometric technologies, capable of high-content, high-throughput single-cell assays.
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Citations
Cites
Continuous cultures of fused cells secreting antibody of predefined specificity
KÖHLER, G., & MILSTEIN, C. (1975) · Nature · doi:10.1038/256495a0 · Cited by 17,229
Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
Self-citationA human memory T cell subset with stem cell–like properties
Gattinoni, L., Lugli, E., Ji, Y., Pos, Z., Paulos, C. M., Quigley, M. F., Almeida, J. R., Gostick, E., Yu, Z., Carpenito, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2446 · Cited by 1,974
Self-citationCausal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data
Sachs, K., Perez, O., Pe'er, D., Lauffenburger, D. A., & Nolan, G. P. (2005) · Science · doi:10.1126/science.1105809 · Cited by 1,708
Self-citationBandura, D. R., Baranov, V. I., Ornatsky, O. I., Antonov, A., Kinach, R., Lou, X., Pavlov, S., Vorobiev, S., Dick, J. E., & Tanner, S. D. (2009) · Analytical Chemistry · doi:10.1021/ac901049w · Cited by 1,295
Borsellino, G., Kleinewietfeld, M., Di Mitri, D., Sternjak, A., Diamantini, A., Giometto, R., Höpner, S., Centonze, D., Bernardi, G., Dell'Acqua, M. L., et al. (2007) · Blood · doi:10.1182/blood-2006-12-064527 · Cited by 1,286
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
Qiu, P., Simonds, E. F., Bendall, S. C., Gibbs, K. D., Bruggner, R. V., Linderman, M. D., Sachs, K., Nolan, G. P., & Plevritis, S. K. (2011) · Nature Biotechnology · doi:10.1038/nbt.1991 · Cited by 956
Self-citationSPICE: Exploration and analysis of post‐cytometric complex multivariate datasets
Roederer, M., Nozzi, J. L., & Nason, M. C. (2011) · Cytometry Part A · doi:10.1002/cyto.a.21015 · Cited by 831
Self-citationFlow cytometric immunophenotyping for hematologic neoplasms
Craig, F. E., & Foon, K. A. (2008) · Blood · doi:10.1182/blood-2007-11-120535 · Cited by 672
Newell, E. W., Sigal, N., Bendall, S. C., Nolan, G. P., & Davis, M. M. (2012) · Immunity · doi:10.1016/j.immuni.2012.01.002 · Cited by 555
Self-citationPicker, L., Singh, M., Zdraveski, Z., Treer, Jr., Waldrop, S., Bergstresser, P., & Maino, V. (1995) · Blood · doi:10.1182/blood.v86.4.1408.bloodjournal8641408 · Cited by 551
Krutzik, P. O., & Nolan, G. P. (2006) · Nature Methods · doi:10.1038/nmeth872 · Cited by 525
Self-citationWeb‐Based Analysis and Publication of Flow Cytometry Experiments
Kotecha, N., Krutzik, P. O., & Irish, J. M. (2010) · Current Protocols in Cytometry · doi:10.1002/0471142956.cy1017s53 · Cited by 511
De Rosa, S. C., Herzenberg, L. A., Herzenberg, L. A., & Roederer, M. (2001) · Nature Medicine · doi:10.1038/84701 · Cited by 455
Self-citationFluorescent phycobiliprotein conjugates for analyses of cells and molecules.
Oi, V. T., Glazer, A. N., & Stryer, L. (1982) · The Journal of cell biology · doi:10.1083/jcb.93.3.981 · Cited by 454
In situ detection and genotyping of individual mRNA molecules
Larsson, C., Grundberg, I., Söderberg, O., & Nilsson, M. (2010) · Nature Methods · doi:10.1038/nmeth.1448 · Cited by 413
Cytometric assessment of mitochondria using fluorescent probes
Cottet‐Rousselle, C., Ronot, X., Leverve, X., & Mayol, J. (2011) · Cytometry Part A · doi:10.1002/cyto.a.21061 · Cited by 399
Cell Sorting: Automated Separation of Mammalian Cells as a Function of Intracellular Fluorescence
Hulett, H. R., Bonner, W. A., Barrett, J., & Herzenberg, L. A. (1969) · Science · doi:10.1126/science.166.3906.747 · Cited by 393
Thomas, R. (2003) · CRC Press eBooks · doi:10.1201/9780203027073 · Cited by 379
Berlier, J. E., Rothe, A., Buller, G., Bradford, J., Gray, D. R., Filanoski, B. J., Telford, W. G., Yue, S., Liu, J., Cheung, C.-Y., et al. (2003) · Journal of Histochemistry & Cytochemistry · doi:10.1177/002215540305101214 · Cited by 379
Quantum dot semiconductor nanocrystals for immunophenotyping by polychromatic flow cytometry
Chattopadhyay, P. K., Price, D. A., Harper, T. F., Betts, M. R., Yu, J., Gostick, E., Perfetto, S. P., Goepfert, P., Koup, R. A., De Rosa, S. C., et al. (2006) · Nature Medicine · doi:10.1038/nm1371 · Cited by 372
Self-citationLarsson, C., Koch, J., Nygren, A., Janssen, G., Raap, A. K., Landegren, U., & Nilsson, M. (2004) · Nature Methods · doi:10.1038/nmeth723 · Cited by 331
Update on acquired immune deficiency syndrome (AIDS)--United States.
(1982) · PubMed · Cited by 299
Automated high-dimensional flow cytometric data analysis
Pyne, S., Hu, X., Wang, K., Rossin, E., Lin, T.-I., Maier, L. M., Baecher-Allan, C., McLachlan, G. J., Tamayo, P., Hafler, D. A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903028106 · Cited by 285
Polymer‐Based Elemental Tags for Sensitive Bioassays
Lou, X., Zhang, G., Herrera, I., Kinach, R., Ornatsky, O., Baranov, V., Nitz, M., & Winnik, M. A. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200700796 · Cited by 282
High-content single-cell drug screening with phosphospecific flow cytometry
Krutzik, P. O., Crane, J. M., Clutter, M. R., & Nolan, G. P. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.2007.59 · Cited by 207
Self-citationA Sensitive and Quantitative Element-Tagged Immunoassay with ICPMS Detection
Baranov, V. I., Quinn, Z., Bandura, D. R., & Tanner, S. D. (2002) · Analytical Chemistry · doi:10.1021/ac0110350 · Cited by 194
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Zare, H., Shooshtari, P., Gupta, A., & Brinkman, R. R. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-403 · Cited by 161
8 Color, 10-parameter flow cytometry to elucidate complex leukocyte heterogeneity
Roederer, M., Rosa, S. C. D., Gerstein, R. M., Anderson, M., Bigos, M., Stovel, R. T., Nozaki, T., Parks, D. R., Herzenberg, L. A., & Herzenberg, L. A. (1997) · Cytometry · doi:10.1002/(sici)1097-0320(19971201)29:4<328::aid-cyto10>3.0.co;2-w · Cited by 154
Self-citationMultiple cellular antigen detection by ICP-MS
Ornatsky, O., Baranov, V. I., Bandura, D. R., Tanner, S. D., & Dick, J. E. (2005) · Journal of Immunological Methods · doi:10.1016/j.jim.2005.09.020 · Cited by 149
Ornatsky, O., Lou, X., Nitz, M., Schäffer, S., Sheldrick, W. S., Baranov, V. I., Bandura, D. R., & Tanner, S. D. (2008) · Analytical Chemistry · doi:10.1021/ac702128m · Cited by 141
The regulation and role of T follicular helper cells in immunity
Deenick, E. K., & Ma, C. S. (2011) · Immunology · doi:10.1111/j.1365-2567.2011.03487.x · Cited by 131
Ornatsky, O., Kinach, R., Bandura, D. R., Lou, X., Tanner, S. D., Baranov, V. I., Nitz, M., & Winnik, M. A. (2008) · Journal of Analytical Atomic Spectrometry · doi:10.1039/b710510j · Cited by 125
Chattopadhyay, P. K., Gaylord, B. S., Palmer, A., Jiang, N., Raven, M. A., Lewis, G., Reuter, M. A., Rahman, A. K. M. N., Price, D. A., Betts, M. R., et al. (2012) · Cytometry Part A · doi:10.1002/cyto.a.22043 · Cited by 118
Self-citationMechanisms controlling Th17 cytokine expression and host defense
McAleer, J. P., & Kolls, J. K. (2011) · Journal of Leukocyte Biology · doi:10.1189/jlb.0211099 · Cited by 116
High throughput flow cytometry
Kuckuck, F. W., Edwards, B. S., & Sklar, L. A. (2001) · Cytometry · Cited by 105
Quantitation of CD38 expression using QuantiBRITE? beads
Iyer, S. B., Hultin, L. E., Zawadzki, J. A., Davis, K. A., & Giorgi, J. V. (1998) · Cytometry · Cited by 83
Publication of optimized multicolor immunofluorescence panels
Mahnke, Y. D., Chattopadhyay, P. K., & Roederer, M. (2010) · Cytometry Part A · doi:10.1002/cyto.a.20916 · Cited by 69
Self-citationAghaeepour, N., Chattopadhyay, P. K., Ganesan, A., O’Neill, K., Zare, H., Jalali, A., Hoos, H. H., Roederer, M., & Brinkman, R. R. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts082 · Cited by 69
Self-citationTanner, S. D., Ornatsky, O., Bandura, D. R., et al. (2007) · Spectrochimica Acta Part B Atomic Spectroscopy · doi:10.1016/j.sab.2007.01.008 · Cited by 61
Metal-containing polystyrene beads as standards for mass cytometry
Abdelrahman, A. I., Ornatsky, O., Bandura, D. R., Baranov, V. I., Kinach, R., Dai, S., Thickett, S. C., Tanner, S. D., & Winnik, M. A. (2010) · Journal of Analytical Atomic Spectrometry · doi:10.1039/b921770c · Cited by 52
Automatic Clustering of Flow Cytometry Data with Density-Based Merging
Walther, G., Zimmerman, N., Moore, W., Parks, D. R., Meehan, S., Belitskaya, I., Pan, J., & Herzenberg, L. A. (2009) · Advances in Bioinformatics · doi:10.1155/2009/686759 · Cited by 52
Nuclear texture analysis: A new prognostic tool in metastatic prostate cancer
J�rgensen, T., Kanagasingam, Y., Tveter, K. J., Skj�rten, F., & Danielsen, H. E. (1996) · Cytometry · doi:10.1002/(sici)1097-0320(19960701)24:3<191::aid-cyto1>3.0.co;2-l · Cited by 27
Breaking the Dimensionality Barrier
Bagwell, C. B. (2010) · Methods in molecular biology · doi:10.1007/978-1-61737-950-5_2 · Cited by 27
Quantum Dot Technology in Flow Cytometry
Chattopadhyay, P. K. (2011) · Methods in cell biology · doi:10.1016/b978-0-12-374912-3.00018-3 · Cited by 26
Self-citationOrnatsky, O., Baranov, V. I., Bandura, D. R., Tanner, S. D., & Dick, J. (2006) · PubMed Central · Cited by 13
Sachs, K., Gentles, A. J., Youland, R., Itani, S. M., Irish, J. M., Nolan, G. P., & Plevritis, S. K. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5332563 · Cited by 12
Self-citation
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Single-cell RNA sequencing to explore immune cell heterogeneity
Papalexi, E., & Satija, R. (2018) · Nature Reviews Immunology · doi:10.1038/nri.2017.76 · Cited by 1,806
Amir, E.-A. D., Davis, K. L., Tadmor, M. D., Simonds, E. F., Levine, J. H., Bendall, S. C., Shenfeld, D. K., Krishnaswamy, S., Nolan, G. P., & Pe'er, D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2594 · Cited by 1,550
Self-citationMass Cytometry: Single Cells, Many Features
Spitzer, M. H., & Nolan, G. P. (2016) · Cell · doi:10.1016/j.cell.2016.04.019 · Cited by 1,199
Self-citationThe who's who of T ‐cell differentiation: Human memory T ‐cell subsets
Mahnke, Y. D., Brodie, T. M., Sallusto, F., Roederer, M., & Lugli, E. (2013) · European Journal of Immunology · doi:10.1002/eji.201343751 · Cited by 817
Self-citationCODEX multiplexed tissue imaging with DNA-conjugated antibodies
Black, S., Phillips, D., Hickey, J. W., Kennedy-Darling, J., Venkataraaman, V. G., Samusik, N., Goltsev, Y., Schürch, C. M., & Nolan, G. P. (2021) · Nature Protocols · doi:10.1038/s41596-021-00556-8 · Cited by 659
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Metadata
- Authors
- Bendall, S. C., Nolan, G. P., Roederer, M., & Chattopadhyay, P. K.
- Venue
- Trends in Immunology
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 33
- Issue
- 7
- Pages
- 323-332
- ISSN
- 1471-4906 (ISSN-L)
- OpenAlex
- W2015671099
- Cited by
- 656
- References
- 47
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- green
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