FAQs
1. Is immunophenotyping only used for human cells?
No, immunophenotyping is widely used in veterinary medicine for animal health diagnostics. It is also used in basic research for studying cell biology in various non-human species, such as mice, zebrafish, and non-human primates.
2. What are some of the potential risks of immunophenotyping to the patient?
The procedure itself is minimally invasive with very low risk to the patient. Sample collection, such as a blood draw or a bone marrow biopsy, carries minor risks like bruising or temporary discomfort. The analysis of the sample in the lab has no direct risk to the patient.
3. How long does it take to get results from immunophenotyping?
The turnaround time can vary based on the sample type and lab. A simple blood sample for flow cytometry can be processed within hours, thus providing rapid results for urgent clinical decisions. More complex analyses of tissue biopsies or bone marrow may take several days.
Reference
1. Herold, N. C., & Mitra, P. (2023). Immunophenotyping. In StatPearls [Internet]. StatPearls Publishing.
2. Biancotto, A., & McCoy, J. P. (2013). Studying the human immunome: the complexity of comprehensive leukocyte immunophenotyping. High-Dimensional Single Cell Analysis: Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques, 377, 23-60.
3. Fung, E., Esposito, L., Todd, J. A., et al. (2010). Multiplexed immunophenotyping of human antigen-presenting cells in whole blood by polychromatic flow cytometry. Nature protocols, 5(2), 357-370.
4. Stern, L., McGuire, H., Avdic, S., et al. (2018). Mass cytometry for the assessment of immune reconstitution after hematopoietic stem cell transplantation. Frontiers in immunology, 9, 1672.
5. Niewold, P., Ijsselsteijn, M. E., Verreck, F. A., et al. (2022). An imaging mass cytometry immunophenotyping panel for non-human primate tissues. Frontiers in Immunology, 13, 915157.
6. Erber, W. N., Hui, H., Stanley, J., et al. (2020). Detection of Del (17p) in hematological malignancies by imaging flow cytometry. Blood, 136, 9-10.
7. Wang, X., & Lebrec, H. (2017). Immunophenotyping: application to safety assessment. Toxicologic pathology, 45(7), 1004-1011.
8. Lin, J. R., Fallahi‐Sichani, M., Chen, J. Y., et al. (2016). Cyclic immunofluorescence (CycIF), a highly multiplexed method for single‐cell imaging. Current protocols in chemical biology, 8(4), 251-264.
9. Phillips, D., Schürch, C. M., Khodadoust, M. S., et al. (2021). Highly multiplexed phenotyping of immunoregulatory proteins in the tumor microenvironment by CODEX tissue imaging. Frontiers in Immunology, 12, 687673.
10. Lin, J. R., Izar, B., Wang, S., et al. (2018). Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes. elife, 7, e31657.
11. Keren, L., Bosse, M., Thompson, S., et al. (2019). MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure. Science advances, 5(10), eaax5851.
12. Johnson, N. A., Boyle, M., Bashashati, A., et al. (2009). Diffuse large B-cell lymphoma: reduced CD20 expression is associated with an inferior survival. Blood, The Journal of the American Society of Hematology, 113(16), 3773-3780.
13. Tamaki, T., Karube, K., Sakihama, S., et al. (2023). A comprehensive study of the immunophenotype and its clinicopathologic significance in adult T-cell leukemia/lymphoma. Modern Pathology, 36(8), 100169.
14. San Miguel, J. F., Martınez, A., Macedo, A., et al. (1997). Immunophenotyping investigation of minimal residual disease is a useful approach for predicting relapse in acute myeloid leukemia patients. Blood, The Journal of the American Society of Hematology, 90(6), 2465-2470.
15. Chatterjee, T., Mallhi, R. S., & Venkatesan, S. (2016). Minimal residual disease detection using flow cytometry: Applications in acute leukemia. medical journal armed forces india, 72(2), 152-156.
16. Paiva, B., Almeida, J., Pérez‐Andrés, M., et al. (2010). Utility of flow cytometry immunophenotyping in multiple myeloma and other clonal plasma cell‐related disorders. Cytometry Part B: Clinical Cytometry, 78(4), 239-252.
17. Campos, M., Prior, C., Warleta, F., et al. (2008). Phenotypic and genetic characterization of circulating tumor cells by combining immunomagnetic selection and FICTION techniques. Journal of Histochemistry & Cytochemistry, 56(7), 667-675.
18. Choi, J., Lee, S. J., Lee, Y. A., et al. (2014). Reference Values for Peripheral Blood Lymphocyte Subsets in a Healthy Korean Population. Immune Network, 14(6), 289.
19. Van Zelm, M. C., Pumar, M., Shuttleworth, P., et al. (2019). Functional antibody responses following allogeneic stem cell transplantation for TP53 mutant pre-B-ALL in a patient with X-linked agammaglobulinemia. Frontiers in immunology, 10, 895.
20. Van Dongen, J. J., Van der Burg, M., Kalina, T., et al. (2019). EuroFlow-based flowcytometric diagnostic screening and classification of primary immunodeficiencies of the lymphoid system. Frontiers in immunology, 10, 1271.
21. Barnett, D., Walker, B., Landay, A., et al. (2008). CD4 immunophenotyping in HIV infection. Nature Reviews Microbiology, 6(Suppl 11), S7-S15.
22. Aw, Y. T. V., Whiley, P. J., Lorenzo, A. M., et al. (2023). Immunophenotyping identifies distinct cellular signatures for systemic lupus erythematosus and lupus nephritis. Rheumatology & Autoimmunity, 3(01), 15-25.
23. Stastny, P., Lavingia, B., Fixler, D. E., et al. (2007). Antibodies against donor human leukocyte antigens and the outcome of cardiac allografts in adults and children. Transplantation, 84(6), 738-745.
24. Wittenbecher, F., Lesch, S., Kolling, S., et al. (2022). Paired donor and recipient immunophenotyping in allogeneic hematopoietic stem cell transplantation: A cellular network approach. Frontiers in Immunology, 13, 874499.
25. Greenland, J. R., Jewell, N. P., Gottschall, M., et al. (2014). Bronchoalveolar lavage cell immunophenotyping facilitates diagnosis of lung allograft rejection. American Journal of Transplantation, 14(4), 831-840.
26. Pitoiset, F., Cassard, L., El Soufi, K., et al. (2018). Deep phenotyping of immune cell populations by optimized and standardized flow cytometry analyses. Cytometry part A, 93(8), 793-802.
27. Newton, H. S., & Dobrovolskaia, M. A. (2022). Immunophenotyping: analytical approaches and role in preclinical development of nanomedicines. Advanced drug delivery reviews, 185, 114281.
28. Gallorini, M., Marinacci, B., Pellegrini, B., et al. (2024). Immunophenotyping of hemocytes from infected Galleria mellonella larvae as an innovative tool for immune profiling, infection studies and drug screening. Scientific Reports, 14(1), 759.
29. Diks, A. M., Overduin, L. A., Van Leenen, L. D., et al. (2021). B-cell immunophenotyping to predict vaccination outcome in the immunocompromised-A systematic review. Frontiers in immunology, 12, 690328.
30. Preglej, T., Brinkmann, M., Steiner, G., et al. (2023). Advanced immunophenotyping: A powerful tool for immune profiling, drug screening, and a personalized treatment approach. Frontiers in Immunology, 14, 1096096.
31. Finak, G., Langweiler, M., Jaimes, M., et al. (2016). Standardizing flow cytometry immunophenotyping analysis from the human immunophenotyping consortium. Scientific reports, 6(1), 20686.
32. Sun, J., Kroeger, J. L., & Markowitz, J. (2020). Introduction to multiparametric flow cytometry and analysis of high-dimensional data. In Translational Bioinformatics for Therapeutic Development, 2194, (pp. 239-253). New York, NY: Springer US.
33. Franken, A., Van Mol, P., Vanmassenhove, S., et al. (2022). Single-cell transcriptomics identifies pathogenic T-helper 17.1 cells and pro-inflammatory monocytes in immune checkpoint inhibitor-related pneumonitis. Journal for immunotherapy of cancer, 10(9), e005323.
34. Hecht, M., Frey, B., Gaipl, U. S., et al. (2024). Machine Learning-assisted immunophenotyping of peripheral blood identifies innate immune cells as best predictor of response to induction chemo-immunotherapy in head and neck squamous cell carcinoma–knowledge obtained from the CheckRad-CD8 trial. Neoplasia, 49, 100953.
35. Garman, B., Jiang, C., Daouti, S., et al. (2023). Comprehensive immunophenotyping of solid tumor-infiltrating immune cells reveals the expression characteristics of LAG-3 and its ligands. Frontiers in Immunology, 14, 1151748.
36. Walsh III, D. I., Murthy, S. K., & Russom, A. (2016). Ultra-high-throughput sample preparation system for lymphocyte immunophenotyping point-of-care diagnostics. Journal of Laboratory Automation, 21(5), 706-712.