Abstract
Flow cytometry is a flexible and useful tool in the armamentarium of translational and basic researchers. Based on a microfluidic system that has roots in the 1930s, flow cytometry allows for the multi-parametric analysis of samples on a single cell basis in a high-throughput manner. This is accomplished by passing cells sequentially through light produced by lasers of a given wavelength that excite fluorochromes or dyes to emit light in a defined spectrum. The light emitted is then collected, transferred electronically as a signal, and stored for analysis. The data collected is then analyzed using specialized software and provides information about the number and type of cells in the sample, as well as the expression of different targets. Clinically, current uses for flow cytometry are primarily in hematologic malignancies and immunology. Research applications include a wide variety of uses including phenotyping, cell death and proliferation, cell signaling, fluorescence-activated cell sorting, and monitoring immune responses. Future advancements including imaging flow cytometry and mass cytometry will serve to broaden the application of this technology.
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References
Givan AL. Flow Cytometry: an introduction. In: Hawley TS, Hawley RG, editors. Flow cytometry protocols. Totowa, NJ: Humana Press; 2011. p. 1–29.
Moldavan A. Photo-electric technique for the counting of microscopical cells. Science. 1934;80(2069):188–9.
Kamentsky LA, Melamed MR, Derman H. Spectrophotometer: new instrument for ultrarapid cell analysis. Science. 1965;150(3696):630 LP–631.
Van Dilla MA, Truiullo TT, Mullaney PF, Coultex JR. Cell microfluorometry: a method for rapid fluorescence measurement. Science. 1969;163(3872):1213–4.
Hulett HR, Bonner WA, Barrett J, Herzenberg LA. Cell sorting: automated separation of mammalian cells as a function of intracellular fluorescence. Science. 1969;166(3906):747–9.
Dittrich W, Göhde W. Notizen: Impulsfluorometrie bei Einzelzellen in Suspensionen. Z Naturforsch B. 1969;24(3):360–1.
Fulwyler MJ. Electronic separation of biological cells by volume. Science. 1965;150(3698):910–1.
Adan A, Alizada G, Kiraz Y, Baran Y, Nalbant A. Flow cytometry: basic principles and applications. Crit Rev Biotechnol. 2017;37:163–76.
Chandler WL. Measurement of microvesicle levels in human blood using flow cytometry. Cytometry B Clin Cytom. 2016;90(4):326–36.
Cellular and Molecular Immunology – 9780323479783 | US Elsevier Health Bookshop [Internet]. Available from: https://www.us.elsevierhealth.com/cellular-and-molecular-immunology-9780323479783.html. Cited 4 Nov 2018.
Draxler DF, Madondo MT, Hanafi G, Plebanski M, Medcalf RL. A flowcytometric analysis to efficiently quantify multiple innate immune cells and T cell subsets in human blood. Cytometry A. 2017;91(4):336–50.
Porembka MR, Mitchem JB, Belt BA, Hsieh C-S, Lee H-M, Herndon J, et al. Pancreatic adenocarcinoma induces bone marrow mobilization of myeloid-derived suppressor cells which promote primary tumor growth. Cancer Immunol Immunother. 2012;61(9):1373–85.
Danova M, Torchio M, Comolli G, Sbrana A, Antonuzzo A, Mazzini G. The role of automated cytometry in the new era of cancer immunotherapy (Review). Mol Clin Oncol. 2018;9(4):355–61.
Van Asten I, Schutgens REG, Urbanus RT. Toward flow cytometry based platelet function diagnostics. Semin Thromb Hemost. 2018;44(3):197–205.
Oyaert M, Delanghe J. Progress in automated urinalysis. Ann Lab Med. 2019;39(1):15.
Mazzini G, Danova M. Fluorochromes for DNA staining and quantitation. Methods Mol Biol. 2017;1560:239–59.
Nies KPH, Kraaijvanger R, Lindelauf KHK, Drent RJMR, Rutten RMJ, Ramaekers FCS, et al. Determination of the proliferative fractions in differentiating hematopoietic cell lineages of normal bone marrow. Cytometry A. 2018;93(11):1097–105.
Lyons AB, Blake SJ, Doherty KV. Flow cytometric analysis of cell division by dilution of CFSE related dyes. Curr Protoc Cytom. 2013;64(Suppl 64):9.11.1–9.11.12.
Vitale I, Jemaà M, Galluzzi L, Metivier D, Castedo M, Kroemer G. Cytofluorometric assessment of cell cycle progression. Totowa, NJ: Humana Press; 2013. p. 93–120.
Jaye DL, Bray RA, Gebel HM, Harris WAC, Waller EK. Translational applications of flow cytometry in clinical practice. J Immunol. 2012;188(10):4715–9.
Knudson KM, Pritzl CJ, Saxena V, Altman A, Daniels MA, Teixeiro E. NFκB–Pim-1–Eomesodermin axis is critical for maintaining CD8 T-cell memory quality. Proc Natl Acad Sci U S A. 2017;114(9):E1659–67.
Lawson DA, Bhakta NR, Kessenbrock K, Prummel KD, Yu Y, Takai K, et al. Single-cell analysis reveals a stem-cell program in human metastatic breast cancer cells. Nature. 2015;526(7571):131–5.
Legoux FP, Moon JJ. Peptide:MHC tetramer-based enrichment of epitope-specific T cells. J Vis Exp. 2012;(68) https://doi.org/10.3791/4420.
Hori S, Nomura T, Sakaguchi S. Control of regulatory T cell development by the transcription factor Foxp3. Science. 2003;299(5609):1057–61.
Freer G. Intracellular staining and detection of cytokines by fluorescence-activated flow cytometry. Methods Mol Biol. 2014;1172:221–34.
Desjobert C, El Maï M, Gérard-Hirne T, Guianvarc’h D, Carrier A, Pottier C, et al. Combined analysis of DNA methylation and cell cycle in cancer cells. Epigenetics. 2015;10(1):82–91.
Puleston D. Detection of mitochondrial mass, damage, and reactive oxygen species by flow cytometry. Cold Spring Harb Protoc. 2015;2015(9):pdb.prot086298.
Doan M, Vorobjev I, Rees P, Filby A, Wolkenhauer O, Goldfeld AE, et al. Diagnostic potential of imaging flow cytometry. Trends Biotechnol. 2018;36(7):649–52.
Spitzer MH, Nolan GP. Mass cytometry: single cells, many features. Cell. 2016;165(4):780–91.
Basiji D, O’Gorman MRG. Imaging flow cytometry. J Immunol Methods. 2015;423:1–2.
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Guan, Y., Mitchem, J.B. (2019). Utilizing Flow Cytometry Effectively. In: Kennedy, G., Gosain, A., Kibbe, M., LeMaire, S. (eds) Success in Academic Surgery: Basic Science. Success in Academic Surgery. Springer, Cham. https://doi.org/10.1007/978-3-030-14644-3_9
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