The DOI matches its Crossref record; 815 of the 815 references it cites were found in a registry or an index.
Guidelines for the use of flow cytometry and cell sorting in immunological studies *
Open accessAbstract
The marriage between immunology and cytometry is one of the most stable and productive in the recent history of science. A rapid search in PubMed shows that, as of July 2017, using “flow cytometry immunology” as a search term yields more than 68 000 articles, the first of which, interestingly, is not about lymphocytes. It might be stated that, after a short engagement, the exchange of the wedding rings between immunology and cytometry officially occurred when the idea to link fluorochromes to monoclonal antibodies came about. After this, recognizing different types of cells became relatively easy and feasible not only by using a simple fluorescence microscope, but also by a complex and sometimes esoteric instrument, the flow cytometer that is able to count hundreds of cells in a single second, and can provide repetitive results in a tireless manner. Given this, the possibility to analyse immune phenotypes in a variety of clinical conditions has changed the use of the flow cytometer, which was incidentally invented in the late 1960s to measure cellular DNA by using intercalating dyes, such as ethidium bromide. The epidemics of HIV/AIDS in the 1980s then gave a dramatic impulse to the technology of counting specific cells, since it became clear that the quantification of the number of peripheral blood CD4+ T cells was crucial to follow the course of the infection, and eventually for monitoring the therapy. As a consequence, the development of flow cytometers that had to be easy-to-use in all clinical laboratories helped to widely disseminate this technology. Nowadays, it is rare to find an immunological paper or read a conference abstract in which the authors did not use flow cytometry as the main tool to dissect the immune system and identify its fine and complex functions. Of note, recent developments have created the sophisticated technology of mass cytometry, which is able to simultaneously identify dozens of molecules at the single cell level and allows us to better understand the complexity and beauty of the immune system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
(2008) · Journal of Machine Learning Research · Cited by 33,051
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
A new generation of Ca2+ indicators with greatly improved fluorescence properties.
Grynkiewicz, G., Poenie, M., & Tsien, R. Y. (1985) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)83641-4 · Cited by 21,607
Dominici, M., Le Blanc, K., Mueller, I., Slaper-Cortenbach, I., Marini, F. C., Krause, D. S., Deans, R. J., Keating, A., Prockop, D. J., & Horwitz, E. M. (2006) · Cytotherapy · doi:10.1080/14653240600855905 · Cited by 17,766
Repertoires of Autophagy in the Pathogenesis of Ocular Diseases
Li, Y.-J., Jiang, Q., Cao, G.-F., Yao, J., & Yan, B. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373980 · Cited by 16,304
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
Calcium's Role in Mechanotransduction during Muscle Development
Benavides Damm, T., & Egli, M. (2014) · Cellular Physiology and Biochemistry · doi:10.1159/000356667 · Cited by 14,502
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
Mann, H. B., & Whitney, D. R. (1947) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730491 · Cited by 14,320
Cited by
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., et al. (2021) · Autophagy · doi:10.1080/15548627.2020.1797280 · Cited by 2,897
Self-citationGuidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Cossarizza, A., Chang, H., Radbruch, A., Acs, A., Adam, D., Adam‐Klages, S., Agace, W. W., Aghaeepour, N., Akdis, M., Allez, M., et al. (2019) · European Journal of Immunology · doi:10.1002/eji.201970107 · Cited by 979
Self-citationGuidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Cossarizza, A., Chang, H., Radbruch, A., Abrignani, S., Addo, R., Akdis, M., Andrä, I., Andreata, F., Annunziato, F., Arranz, E., et al. (2021) · European Journal of Immunology · doi:10.1002/eji.202170126 · Cited by 531
Self-citationPeptide-specific recognition of human cytomegalovirus strains controls adaptive natural killer cells
Hammer, Q., Rückert, T., Borst, E. M., Dunst, J., Haubner, A., Durek, P., Heinrich, F., Gasparoni, G., Babic, M., Tomic, A., et al. (2018) · Nature Immunology · doi:10.1038/s41590-018-0082-6 · Cited by 423
Self-citationInterleukin-22 protects intestinal stem cells against genotoxic stress
Gronke, K., Hernández, P. P., Zimmermann, J., Klose, C. S. N., Kofoed-Branzk, M., Guendel, F., Witkowski, M., Tizian, C., Amann, L., Schumacher, F., et al. (2019) · Nature · doi:10.1038/s41586-019-0899-7 · Cited by 373
Self-citation
Metadata
- Authors
- Cossarizza, A., Chang, H., Radbruch, A., Akdis, M., Andrä, I., Annunziato, F., Bacher, P., Barnaba, V., Battistini, L., Bauer, W. M., Baumgart, S., Becher, B., Beisker, W., Berek, C., Blanco, A., Borsellino, G., Boulais, P. E., Brinkman, R. R., Büscher, M., Busch, D. H., Bushnell, T. P., Cao, X., Cavani, A., Chattopadhyay, P. K., Cheng, Q., Chow, S., Clerici, M., Cooke, A., Cosma, A., Cosmi, L., Cumano, A., Dang, V. D., Davies, D., De Biasi, S., Del Zotto, G., Della Bella, S., Dellabona, P., Deniz, G., Dessing, M., Diefenbach, A., Di Santo, J., Dieli, F., Dolf, A., Donnenberg, V. S., Dörner, T., Ehrhardt, G. R. A., Endl, E., Engel, P., Engelhardt, B., Esser, C., Everts, B., Dreher, A., Falk, C. S., Fehniger, T. A., Filby, A., Fillatreau, S., Follo, M., Förster, I., Foster, J., Foulds, G. A., Frenette, P. S., Galbraith, D., Garbi, N., García‐Godoy, M. D., Geginat, J., Ghoreschi, K., Gibellini, L., Goettlinger, C., Goodyear, C. S., Gori, A., Grogan, J., Gross, M., Grützkau, A., Grummitt, D., Hahn, J., Hammer, Q., Hauser, A. E., Haviland, D. L., Hedley, D., Herrera, G., Herrmann, M., Hiepe, F., Holland, T., Hombrink, P., Houston, J. P., Hoyer, B. F., Huang, B., Hunter, C. A., Iannone, A., Jäck, H., Jávega, B., Jonjic, S., Juelke, K., Jung, S., Kaiser, T., Kalina, T., Keller, B., Khan, S., Kienhöfer, D., Kroneis, T., Kunkel, D., Kurts, C., Kvistborg, P., Lannigan, J., Lantz, O., Larbi, A., LeibundGut‐Landmann, S., Leipold, M. D., Levings, M. K., Litwin, V., Liu, Y., Lohoff, M., Lombardi, G., Lopez, L., Lovett‐Racke, A., Lubberts, E., Ludewig, B., Lugli, E., Maecker, H. T., Martrus, G., Matarese, G., Maueröder, C., McGrath, M., McInnes, I., Mei, H. E., Melchers, F., Melzer, S., Mielenz, D., Mills, K., Mirrer, D., Mjösberg, J., Moore, J., Moran, B., Moretta, A., Moretta, L., Mosmann, T. R., Müller, S., Müller, W., Münz, C., Multhoff, G., Munoz, L. E., Murphy, K. M., Nakayama, T., Nasi, M., Neudörfl, C., Nolan, J., Nourshargh, S., O'Connor, J., Ouyang, W., Oxenius, A., Palankar, R., Panse, I., Peterson, P., Peth, C., Petriz, J., Philips, D., Pickl, W., Piconese, S., Pinti, M., Pockley, A. G., Podolska, M. J., Pucillo, C., Quataert, S. A., Radstake, T. R. D. J., Rajwa, B., Rebhahn, J. A., Recktenwald, D., Remmerswaal, E. B. M., Rezvani, K., Rico, L. G., Robinson, J. P., Romagnani, C., Rubartelli, A., Ruckert, B., Ruland, J., Sakaguchi, S., Sala‐de‐Oyanguren, F., Samstag, Y., Sanderson, S., Sawitzki, B., Scheffold, A., Schiemann, M., Schildberg, F., Schimisky, E., Schmid, S. A., Schmitt, S., Schober, K., Schüler, T., Schulz, A. R., Schumacher, T., Scotta, C., Shankey, T. V., Shemer, A., Simon, A., Spidlen, J., Stall, A. M., Stark, R., Stehle, C., Stein, M., Steinmetz, T., Stockinger, H., Takahama, Y., Tarnok, A., Tian, Z., Toldi, G., Tornack, J., Traggiai, E., Trotter, J., Ulrich, H., van der Braber, M., van Lier, R. A. W., Veldhoen, M., Vento‐Asturias, S., Vieira, P., Voehringer, D., Volk, H., von Volkmann, K., Waisman, A., Walker, R., Ward, M. D., Warnatz, K., Warth, S., Watson, J. V., Watzl, C., Wegener, L., Wiedemann, A., Wienands, J., Willimsky, G., Wing, J., Wurst, P., Yu, L., Yue, A., Zhang, Q., Zhao, Y., Ziegler, S., & Zimmermann, J.
- Venue
- European Journal of Immunology
- Publisher
- Wiley
- Published
- 2017-10
- Volume
- 47
- Issue
- 10
- Pages
- 1584-1797
- ISSN
- 0014-2980 (ISSN-L)
- 1521-4141
- OpenAlex
- W2761516325
- Cited by
- 542
- References
- 815
- FWCI
- 30.25
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Guidelines for the use of flow cytometry and cell sorting in immunological studies *. https://app.cochat.ai/papers/10.1002/eji.201646632
- The paper
- Cossarizza, A., Chang, H., Radbruch, A., Akdis, M., Andrä, I., Annunziato, F., Bacher, P., Barnaba, V., Battistini, L., Bauer, W. M., Baumgart, S., Becher, B., Beisker, W., Berek, C., Blanco, A., Borsellino, G., Boulais, P. E., Brinkman, R. R., Büscher, M., . . . Zimmermann, J. (2017). Guidelines for the use of flow cytometry and cell sorting in immunological studies *. European Journal of Immunology. https://doi.org/10.1002/eji.201646632
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.