Abstract
Flow cytometry is a widely used technique for the analysis of single cells and particles. It is an essential tool for immunological research, drug and device development, clinical trials, disease diagnosis, and therapy monitoring. However, measurements made on different instrument platforms are often inconsistent, leading to variable results for the same sample on different instruments and impeding advances in biomedical research. This chapter describes methodologies to obtain key parameters for characterizing flow cytometer performance, including precision, sensitivity, background, electronic noise, and linearity. Further, various fluorescent beads, hard dyed and surface labeled, are illustrated for use in quality control, calibration, and standardization of flow cytometers. To compare instrument characteristics, fluorescence intensity units have to be standardized to mean equivalent soluble fluorochrome (MESF) or equivalent reference fluorophore (ERF) units that are traceable to the existing primary fluorophore solution standards. With suitable biological controls or orthogonal method, users will be able to quantitatively measure DNA and RNA content per cell or biomarker expression in antibodies bound per cell. Comparable, reproducible, and quantitative measurements using flow cytometers can be accomplished only upon instrument standardization through performance characterization and calibration, and use of proper biological controls.
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References
Hoffman RA (2000) Standardization and quantitation in flow cytometry. In: Darzynkiewicz Z, Crissman HA, Robinson JP (eds) Methods in Cell Biol 63, Cytometry, 3rd edn. Part A:300–340
Tanqri S, Vall H, Kaplan D, Hoffman B, Purvis N, Porwit A, Hunsberger B, Shankey TV, on behalf of ICSH/ICCS working group (2013) Validation of cell-based fluorescence assays: practice guidelines from the ICSH and ICCS–Part III–analytical issues. Cytometry Part B 84B:291–308
Wang L, Hoffman RA (2016) Standardization, calibration, and control in flow cytometry. Curr Protoc Cytom 79:1.3.1–1.3.27
Hoffman RA, Wang L, Bigos M, Nolan JP (2012) NIST/ISAC standardization study: variability in assignment of intensity values to fluorescence standard beads and in cross calibration of standard beads to hard dyed beads. Cytometry A 81A:785–796
Gaigalas AK, Li L, Henderson O, Vogt RF, Barr J, Marti GE, Weaver J, Schwartz A (2001) The development of fluorescence intensity standards. J Res Natl Inst Stand Technol 106:381–389
Schwartz A, Wang L, Early E, Gaigalas AK, Zhang Y-Z, Marti GE, Vogt RF (2002) Quantitating fluorescence intensity from fluorophores: the definition of MESF assignment. J Res Natl Inst Stand Technol 107:83–91
Wang L, Gaigalas AK, Abbasi F, Marti GE, Vogt RF, Schwartz A (2002) Quantitating fluorescence intensity from fluorophores: practical use of MESF values. J Res Natl Inst Stand Technol 107:339–353
Wang L, Gaigalas AK, Marti GE, Abbasi F, Hoffman RA (2008) Toward quantitative fluorescence measurements with multicolor flow cytometry. Cytometry 73A:279–288
Wang L, Gaigalas AK (2011) Development of multicolor flow cytometry standards: assignment of ERF units. J Res Natl Inst Stand Technol 116:671–683
Wang L, DeRose P, Gaigalas AK (2016) Assignment of the number of equivalent reference fluorophores to dyed microspheres. J Res Natl Inst Stand Technol 121:269–286
Flow Cytometry Quantitation Consortium. 81 Federal Register 136(15 Jul 2016):46054–46055
Dittrich W, Göhde W (1969) Impulsfluorometrie bei Einzelzellen in Suspensionen. Z Naturforsch 24b:360–361
Darzynkiewicz Z, Traganos F, Kapuscinski J, Staiano-Coico L, Melamed MR (1984) Accessibility of DNA in situ to various fluorochromes: relationship to chromatin changes during erythroid differentiation of Friend leukemia cells. Cytometry 5:355–363
Myc A, Traganos F, Lara J, Melamed MR, Darzynkiewicz Z (1992) DNA stainability in aneuploid breast tumors: comparison of four DNA fluorochromes differing in binding properties. Cytometry 13:389–394
Dressler LG, Seamer LC (1994) Controls, standards, and histogram interpretation in DNA flow cytometry. Methods Cell Biol 41:241–262
Jakobsen A (1983) The use of trout erythrocytes and human lymphocytes for standardization in flow cytometry. Cytometry 4:161–165
Tiersch TR, Chandler RW, Wachtel SS, Elias S (1989) Reference standards for flow cytometry and application in comparative studies of nuclear DNA content. Cytometry 10:706–710
Van Hoof D, Lomas W, Hanley MB, Park E (2014) Simultaneous flow cytometric analysis of IFN-γ and CD4 mRNA and protein expression kinetics in human peripheral blood mononuclear cells during activation. Cytometry A 85:894–900
Soh KT, Tario JD Jr, Colligan S, Maguire O, Pan D, Minderman H, Wallace PK (2016) Simultaneous, single-cell measurement of messenger RNA, cell surface proteins, and intracellular proteins. Curr Protoc Cytom 75:7.45.1–7.45.33
Frei AP, Bava F-A, Zunder ER, Hsieh EWY, Chen S-Y, Nolan GP, Gherardini PF (2016) Highly multiplexed simultaneous detection of RNAs and proteins in single cells. Nat Methods 13:269–275
He H-J, Almeida JL, Hill CR, Lund S, Choquette S, Cole KD (2016} Development of a NIST standard reference material (SRM) 2373:genomic DNA standard for HER2 measurements. BDQ 8:1–8
Serke S, van Lessen A, Huhn D (1998) Quantitative fluorescence flow cytometry: a comparison of the three techniques for direct and indirect immunofluorescence. Cytometry 33:179–187
Islam D, Lindberg AA, Christensson B (1995) Peripheral blood cell preparation influences the level of expression of leukocyte cell surface markers as assessed with quantitative multicolor flow cytometry. Cytometry 22:128–134
Sengers BG, McGinty S, Nouri FZ, Argungu M, Hawkins E, Hadji A, Weber A, Taylor A, Sepp A (2016) Modeling bispecific monoclonal antibody interaction with two cell membrane targets indicates the importance of surface diffusion. MABS 8:905–915
Wang M, Misakian M, He H-J, Abbasi F, Davis JM, Cole KD, Turko IV, Wang L (2014) Quantifying CD4 receptor protein in two human CD4Â +Â lymphocyte preparations for quantitative flow cytometry. Clin Proteomics 11:43
Maecker HT, Frey T, Nomura LE, Trotter J (2004) Selecting fluorochrome conjugates for maximum sensitivity. Cytometry A 62:169–173
Maecker HT, Trotter J (2008) Application notes: selecting reagents for multicolor flow cytometry with BDTM LSR II and BD FACSCantoTM sytems. Nat Methods 5:6–7
D’hautcourt J-L (2002) Quantitative flow cytometric analysis of membrane antigen expression. Curr Protoc Cytom 22:6.12.1–6.12.22
Gaigalas AK, Gallagher T, Cole KD. Singh T, Wang L, Zhang Y-Z (2006) A multistate model for the fluorescence response of R-phycoerythrin. Photochem Photobiol 82:635–644
Davis KA, Abrams B, Iyer SB, Hoffman RA, Bishop JE (1998) Determination of CD4 antigen density on cells: Role of antibody valency, avidity, clones and conjugation. Cytometry 33:197–205
Iyer SJ, Hultin LE, Zawadzki JA, Davis KA, Giorgi JV (1998) Quantitation of CD38 expression using QuantiBRITE beads. Cytometry 33:206–212
Lenkei R, Gratama JW, Rothe G, Schmitz G, D’hautcourt JL, Arekrans A, Mandy F, Marti G (1998) Performance of calibration standards for antigen quantitation with flow cytometry. Cytometry 33:188–196
Brown MC, Hoffman RA, Kirchanski S (1986) Controls for flow cytometers in hematology and cellular immunology. Ann NY Acad Sci 468:93–103
Bikoue A, George F, Poncelet P, Mutin M, Janossy G, Sampol J (1996) Quantitative analysis of leukocyte membrane antigen expression: normal adult values. Cytometry 26:137–147
Poncelet P, Bikoue A, Lavabre T, Poinas G, Parant M, Duperray O, Sampol J (1991) Quantitative expression of human lymphocyte membrane antigens: definition of normal densities measured in immunocytometry with the QIFI assay. Cytometry 5(Suppl):82–83
Wang L, Degheidy H, Abbasi F, Mostowski H, Marti G, Bauer S, Hoffman RA, Gaigalas AK (2016) Quantitative flow cytometry measurements in antibodies bound per cell based on a CD4 reference. Curr Protoc Cyto 75:1.29.1–1.29.14
Wang L, Abbasi F, Ornatsk O, Cole KD, Misakian M, Gaigalas AK, He HJ, Marti GE, Tanner S, Stebbings R (2012) Human CD4+ lymphocytes for antigen quantification: characterization using conventional flow cytometry and mass cytometry. Cytometry 81A:567–575
Kantor AB, Moore WA, Meehan S, Parks DR (2016) A quantitative method for comparing the brightness of antibody-dye reagents and estimating antibodies bound per cell. Curr Protoc Cytom 77:1.30.1–1.30.23
Wood JCS (2009) Establishing and maintaining system linearity. Curr Protoc Cytom 47:1.4.1–1.4.14
Bagwell CB, Baker D, Whetston S, Munson M, Hitchco S, Ault KA, Lovett EJ (1989) A simple and rapid method for determining the linearity of a flow cytometer amplification system. Cytometry 10:689–694
Wood JCS (1998) Fundamental flow cytometer properties governing sensitivity and resolution. Cytometry 33:260–266
Steen HB (1992) Noise, sensitivity, and resolution of flow cytometers. Cytometry 13:822–830
Chase ES, Hoffman RA (1998) Resolution of dimly fluorescent particles: a practical measure of fluorescence sensitivity. Cytometry 33:267–279
Parks DR, l Khettabi FE, Chase E, Hoffman RA, Perfetto SP, Spidlen J, Wood JCS, Moore WA, Brinkman RR (2017) Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data. Cytometry A in Press
Hoffman RA, Wood JCS (2007) Characterization of flow cytometer instrument sensitivity. Curr Protoc Cytom 40:1.20.1–1.20.18
Wood JCS, Hoffman RA (1998) Evaluating fluorescence sensitivity on flow cytometers: an overview. Cytometry 33:256–259
Stebbings R, Wang L, Sutherland J, Kammel M, Gaigalas AK, John M, Roemer B, Kuhne M, Schneider RJ, Braun M, Leclere N, Dikshit D, Abbasi F. Marti GE, Porcedda P, Sassi M, Revel L, Kim SK, Marshall D, Whitby L, Jing W, Ost V, Vonski M, Neukammer J (2015) Determination of CD4 + cell count per µL in reconstituted lyophilized human PBMC pre-labelled with anti-CD4 FITC antibody. Cytometry 87A:244–253
Kalina T, Flores-Montero J, van der Velden VHJ, Martin-Ayuso M, Böttcher S, Ritgen M, Almeida J, Lhermitte L, Asnafi V, Mendonςa A, De Tute R, Cullen M, Sedek L, Vidriales MB, Pérez JJ, te Marvelde JG, Mejstrikova E, Hrusak O, Szczepański T, van Donge, JJM, Orfao A, on behalf of the EuroFlow Consortium (2012) EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols. Leukemia 26:1986–2010
Wood BL (2016) Principles of minimal residual disease detection for hematopoietic neoplasms by flow cytometry. Cytometry B 90:47–53
Lin YC, Winokur P, Blake A, Wu T, Manischewitz J, King LR, Romm E, Golding H, Bielekova B (2016) Patients with MS under daclizumab therapy mount normal immune responses to influenza vaccination. Neurol Neuroimmunol Neuroinflamm 3:e196
Dorvignit D, Palacios JL, Merino M, Hernandez T, Sosa K, Casaco A, Lopez-Requena A, Mateo de Acosta C (2012) Expression and biological characterization of an anti-CD20 biosimilar candidate antibody: a case study. Mabs 4(4):488–496
Fesnak AD, June CH, Levine BL (2016) Engineered T cells: the promise and challenges of cancer immunotherapy. Nat Rev Cancer 16(9):566–581
Hoffman et al. (2012) Cytometry Part A 81A:785
Acknowledgements
The authors would like to thank Adolfas Gaigalas of NIST for his pioneering work and continued engagement in developing traceable fluorescence standards. They would also like to thank David Parks of Stanford for reviewing and clarifying the chapter section on the TEST-FILL method.
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Certain commercial equipment, instruments, and materials are identified in this paper to specify adequately the experimental procedure. In no case does such identification imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the materials or equipment are necessarily the best available for the purpose.
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Wang, L., Hoffman, R.A. (2017). Flow Cytometer Performance Characterization, Standardization, and Control. In: Robinson, J., Cossarizza, A. (eds) Single Cell Analysis. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-4499-1_8
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