The DOI matches its Crossref record; 24 of the 26 references it cites were found in a registry or an index.
Seventeen-colour flow cytometry: unravelling the immune system
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This strategy also applies to gating of N barcodes simultaneously in parallel optical channels, which offers file selection sensitivity of 1 in 106N total files, where common commercial FAS systems offer up to N = 17 channels38,39.”
From Random access DNA memory using Boolean search in an archival file storage system (2021) · cites this paper as [38]
Citations
Cites
Semiconductor Nanocrystals as Fluorescent Biological Labels
Bruchez, M. P., Moronne, M. M., Gin, P., Weiss, S., & Alivisatos, A. P. (1998) · Science · doi:10.1126/science.281.5385.2013 · Cited by 8,614
Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
Sallusto, F., Lenig, D., Förster, R., Lipp, M., & Lanzavecchia, A. (1999) · Nature · doi:10.1038/44385 · Cited by 5,846
HIV preferentially infects HIV-specific CD4+ T cells
Douek, D. C., Brenchley, J. M., Betts, M. R., Ambrozak, D. R., Hill, B. J., Okamoto, Y., Casazza, J. P., Kuruppu, J. C., Kunstman, K., Wolinsky, S. M., et al. (2002) · Nature · doi:10.1038/417095a · Cited by 1,261
Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients
Lee, P. P., Yee, C., Savage, P. A., Fong, L. H., Brockstedt, D. G., Weber, J. S., Johnson, D. L., Swetter, S. M., Thompson, J. A., Greenberg, P. D., et al. (1999) · Nature Medicine · doi:10.1038/9525 · Cited by 1,117
Self-citationBrenchley, J. M., Karandikar, N. J., Betts, M. R., Ambrozak, D. R., Hill, B. J., Crotty, L. E., Casazza, J. P., Kuruppu, J., Migueles, S. A., Connors, M., et al. (2003) · Blood · doi:10.1182/blood-2002-07-2103 · Cited by 1,073
Self-citationSkewed maturation of memory HIV-specific CD8 T lymphocytes
Champagne, P., Ogg, G. S., King, A. S., Knabenhans, C., Ellefsen, K., Nobile, M., Appay, V., Rizzardi, G. P., Fleury, S., Lipp, M., et al. (2001) · Nature · doi:10.1038/35065118 · Cited by 1,002
Fluorescence Activated Cell Sorting
Bonner, W. A., Hulett, H. R., Sweet, R. G., & Herzenberg, L. A. (1972) · Review of Scientific Instruments · doi:10.1063/1.1685647 · Cited by 777
Persistent immune activation in HIV-1 infection is associated with progression to AIDS
Hazenberg, M. D., Otto, S. A., BENTHEM, B. H. B. V., Roos, M. T. L., Coutinho, R. A., Lange, J. M. A., Hamann, D., Prins, M., & Miedema, F. F. (2003) · AIDS · doi:10.1097/00002030-200309050-00006 · Cited by 764
Herzenberg, L. A., Parks, D. R., Sahaf, B., Perez, O. D., Roederer, M., & Herzenberg, L. A. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.10.1819 · Cited by 603
Self-citationSpectral compensation for flow cytometry: Visualization artifacts, limitations, and caveats
Roederer, M. (2001) · Cytometry · doi:10.1002/1097-0320(20011101)45:3 · Cited by 561
Self-citation
Research works printed but not linked: 3
- Perfetto, S., De Rosa, S. D. & Roederer, M. in Flow Cytometry (eds Darzynkiewicz, D., Tanke, H. & Roederer, M.) (Elsevier, San Diego, in the press).
- Roederer, M., Moore, W., Treister, A., Hardy, R. R. & Herzenberg, L. A. Probability binning comparison: a metric for quantitating multivariate distribution differences. Cytometry 45, 47–55 (2001). · DOI
- Roederer, M., Treister, A., Moore, W. & Herzenberg, L. A. Probability binning comparison: a metric for quantitating univariate distribution differences. Cytometry 45, 37–46 (2001). · DOI
Cited by
Sorted by citations
Items 301–400 of 1,000
Frequency determination of rare populations by flow cytometry: A hematopoietic stem cell perspective
Nilsson, A. R., Bryder, D., & Pronk, C. J. (2013) · Cytometry Part A · doi:10.1002/cyto.a.22324 · Cited by 39
Paper-Based 3D Scaffold for Multiplexed Single Cell Secretomic Analysis
Bai, R., Li, L., Liu, M., Yan, S., Miao, C., Li, R., Luo, Y., Liu, T., Lin, B., Ji, Y., et al. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b00362 · Cited by 37
Dynamic changes in CD4+ CD25+ high T cell apoptosis after the diagnosis of type 1 diabetes
Glisic-Milosavljevic, S., Wang, T., Koppen, M., Kramer, J., Ehlenbach, S. J., Waukau, J., Jailwala, P., Jana, S., Alemzadeh, R., & Ghosh, S. (2007) · Clinical & Experimental Immunology · doi:10.1111/j.1365-2249.2007.03475.x · Cited by 38
Imai, N., Ikeda, H., Tawara, I., Wang, L., Wang, L., Nishikawa, H., Kato, T., & Shiku, H. (2009) · Cancer Science · doi:10.1111/j.1349-7006.2009.01179.x · Cited by 38
High-throughput fluorescence lifetime imaging flow cytometry
Kanno, H., Hiramatsu, K., Mikami, H., Nakayashiki, A., Yamashita, S., Nagai, A., Okabe, K., Li, F., Yin, F., Tominaga, K., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-51125-y · Cited by 37
Zare, H., Bashashati, A., Kridel, R., Aghaeepour, N., Haffari, G., Connors, J. M., Gascoyne, R. D., Gupta, A., Brinkman, R. R., & Weng, A. P. (2011) · American Journal of Clinical Pathology · doi:10.1309/ajcpmmlq67yomgew · Cited by 37
George, J., & Wang, J. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b03214 · Cited by 37
Cancer cell CCL5 mediates bone marrow independent angiogenesis in breast cancer
Sax, M. J., Gasch, C., Athota, V. R., Freeman, R., Rasighaemi, P., Westcott, D. E., Day, C. J., Nikolić, I., Elsworth, B., Wei, M. Q., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.13387 · Cited by 38
High‐Dimensional Fluorescence Cytometry
Ashhurst, T. M., Smith, A. L., & King, N. J. C. (2017) · Current Protocols in Immunology · doi:10.1002/cpim.37 · Cited by 37
Wang, Z., Gagliardi, M., Mohamadi, R. M., Ahmed, S. U., Labib, M., Zhang, L., Popescu, S., Zhou, Y., Sargent, E. H., Keller, G. M., et al. (2020) · Science Advances · doi:10.1126/sciadv.aay7629 · Cited by 37
Perfetto, S. P., Chattopadhyay, P. K., Wood, J. C. S., Nguyen, R., Ambrozak, D. R., Hill, J. P., & Roederer, M. (2014) · Cytometry Part A · doi:10.1002/cyto.a.22579 · Cited by 36
Self-citationMa, C., Fan, R., & Elitaş, M. (2013) · Frontiers in Oncology · doi:10.3389/fonc.2013.00133 · Cited by 36
Understanding health and disease with multidimensional single-cell methods
Candia, J., Banavar, J. R., & Losert, W. (2014) · Journal of Physics Condensed Matter · doi:10.1088/0953-8984/26/7/073102 · Cited by 34
Optical and surface plasmonic approaches to characterize extracellular vesicles. A review
Shpacovitch, V. M., & Hergenröder, R. (2017) · Analytica Chimica Acta · doi:10.1016/j.aca.2017.11.066 · Cited by 36
The peripheral differentiation of human natural killer T cells
Liu, J., Hill, B. J., Darko, S. W., Song, K., Quigley, M. F., Asher, T. E., Morita, Y., Greenaway, H. Y., Venturi, V., Douek, D. C., et al. (2019) · Immunology and Cell Biology · doi:10.1111/imcb.12248 · Cited by 35
Self-citationCD123 Is Consistently Expressed on NPM1-Mutated AML Cells
Perriello, V. M., Gionfriddo, I., Rossi, R., Milano, F., Mezzasoma, F., Marra, A., Spinelli, O., Rambaldi, A., Annibali, O., Avvisati, G., et al. (2021) · Cancers · doi:10.3390/cancers13030496 · Cited by 36
Transcending the biomarker mindset: deciphering disease mechanisms at the single cell level
Danna, E. A., & Nolan, G. P. (2006) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2005.12.021 · Cited by 36
Biomarkers in T cell therapy clinical trials
Kalos, M. D. (2011) · Journal of Translational Medicine · doi:10.1186/1479-5876-9-138 · Cited by 36
Juan‐García, A., Manyes, L., Ruiz, M.-J., & Font, G. (2013) · Food and Chemical Toxicology · doi:10.1016/j.fct.2013.02.005 · Cited by 35
Chaipan, C., Steffen, I., Tsegaye, T. S., Bertram, S., Glowacka, I., Kato, Y., Schmökel, J., Münch, J., Simmons, G., Gerardy‐Schahn, R., et al. (2010) · Retrovirology · doi:10.1186/1742-4690-7-47 · Cited by 35
Basic Theory and Clinical Applications of Flow Cytometry
Henel, G., & Schmitz, J. L. (2007) · Laboratory Medicine · doi:10.1309/ghlewlv0cd8025jl · Cited by 35
Immune Cell Dynamics Unfolded by Single-Cell Technologies
Kunz, D. J., Gomes, T., & James, K. R. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01435 · Cited by 36
Computational approaches for high‐throughput single‐cell data analysis
Todorov, H., & Saeys, Y. (2018) · FEBS Journal · doi:10.1111/febs.14613 · Cited by 35
Reduced activity of the epithelial sodium channel in malaria-induced pulmonary oedema in mice
Hee, L., Dinudom, A., Mitchell, A. J., Grau, G. E., Cook, D. I., Hunt, N. H., & Ball, H. J. (2010) · International Journal for Parasitology · doi:10.1016/j.ijpara.2010.07.013 · Cited by 35
Acierno, P. M., Schmitz, J. E., Gorgone, D. A., Sun, Y., Santra, S., Seaman, M. S., Newberg, M. H., Mascola, J. R., Nabel, G. J., Panicali, D., et al. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.176.9.5338 · Cited by 35
Sánchez-Sampedro, L., Gómez, C. E., Mejías‐Pérez, E., Sorzano, C. Ó. S., & Estéban, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038859 · Cited by 34
Silicon nitride PIC-based multi-color laser engines for life science applications
Mashayekh, A. T., Klos, T., Geuzebroek, D. H., Klein, E. J., Veenstra, T. T., Büscher, M., Merget, F., Leisching, P., & Witzens, J. (2021) · Optics Express · doi:10.1364/oe.417245 · Cited by 34
Zhang, Y., & Liu, Y. (2022) · Biosensors · doi:10.3390/bios12050330 · Cited by 34
Fluorescence and bioluminescence procedures for functional proteomics
Prinz, A., Reither, G., Diskar, M., & Schultz, C. (2008) · PROTEOMICS · doi:10.1002/pmic.200700802 · Cited by 34
Immune Resistance Mechanisms and the Road to Personalized Immunotherapy
Piper, M., Kluger, H. M., Ruppin, E., & Hu‐Lieskovan, S. (2023) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_390290 · Cited by 34
Measurement and Modeling of Signaling at the Single-Cell Level
Kolitz, S. E., & Lauffenburger, D. A. (2012) · Biochemistry · doi:10.1021/bi300846p · Cited by 33
Andersson, K., Cavallini, N. F., Hu, D., Brisslert, M., Cialic, R., Valadi, H., Erlandsson, M. C., Silfverswärd, S. T., Pullerits, R., Kuchroo, V. K., et al. (2015) · Molecular Medicine · doi:10.2119/molmed.2015.00057 · Cited by 33
Personalized microbiome dynamics – Cytometric fingerprints for routine diagnostics
Koch, C., & Müller, S. (2017) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2017.06.005 · Cited by 31
Donzella, S., Fumagalli, A., Arioli, S., Pellegrino, L., D’Incecco, P., Molinari, F., Speranza, G., Ubiali, D., Robescu, M. S., & Compagno, C. (2022) · Fermentation · doi:10.3390/fermentation8070341 · Cited by 33
Hombrink, P., Hadrup, S. R., Bakker, A., Kester, M. G. D., Falkenburg, J. H. F., Borne, P. A. V. D., Schumacher, T. N., & Heemskerk, M. H. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022523 · Cited by 31
Toward deterministic and semiautomated SPADE analysis
Qiu, P. (2017) · Cytometry Part A · doi:10.1002/cyto.a.23068 · Cited by 30
Single-Cell Proteomics for Cancer Immunotherapy
Li, L., Yan, S., Lin, B., Shi, Q., & Lu, Y. (2018) · Advances in cancer research · doi:10.1016/bs.acr.2018.04.006 · Cited by 33
Pan, Q., Yamauchi, K. A., & Herr, A. E. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b03233 · Cited by 31
In silico-labeled ghost cytometry
Ugawa, M., Kawamura, Y., Toda, K., Teranishi, K., Morita, H., Adachi, H., Tamoto, R., Nomaru, H., Nakagawa, K., Sugimoto, K., et al. (2021) · eLife · doi:10.7554/elife.67660 · Cited by 31
CD11b+ Mononuclear Cells Mitigate Hyperoxia-Induced Lung Injury in Neonatal Mice
Eldredge, L. C., Treuting, P. M., Manicone, A. M., Ziegler, S. F., Parks, W. C., & McGuire, J. K. (2015) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2014-0395oc · Cited by 31
MHC-based detection of antigen-specific CD8+ T cell responses
Hadrup, S. R., & Schumacher, T. N. (2010) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-010-0824-2 · Cited by 31
Quantitative Intracellular Molecular Profiling Using a One-Dimensional Flow System
Zhou, L., Wang, K., Tan, W., Chen, Y., Zuo, X., Wen, J., Liu, B., Tang, H., He, L., & Yang, X. (2006) · Analytical Chemistry · doi:10.1021/ac060598e · Cited by 31
A robust method for production of MHC tetramers with small molecule fluorophores
Ramachandiran, V., Grigoriev, V. G., Lan, L., Ravkov, E. V., Mertens, S. A., & Altman, J. D. (2006) · Journal of Immunological Methods · doi:10.1016/j.jim.2006.08.014 · Cited by 31
Flow Cytometry and Solid Organ Transplantation: A Perfect Match
Maguire, O., Tario, J. D., Shanahan, T., Wallace, P. K., & Minderman, H. (2014) · Immunological Investigations · doi:10.3109/08820139.2014.910022 · Cited by 31
du Plessis, W. J., Kleynhans, L., du Plessis, N., Stanley, K., Malherbe, S. T., Maasdorp, E., Ronacher, K., Chegou, N. N., Walzl, G., & Loxton, A. G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152710 · Cited by 33
Ferroptosis and Cell Death Analysis by Flow Cytometry
Chen, D., Eyüpoglu, I. Y., & Savaskan, N. E. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-6960-9_6 · Cited by 31
Longevity of T-Cell Memory following Acute Viral Infection
Walker, J. M., & Slifka, M. K. (2010) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4419-6451-9_8 · Cited by 30
Raynaud, C. M., Butler, J. M., Halabi, N. M., Ahmad, F. S., Ahmed, B., Rafii, S., & Rafii, A. (2013) · Stem Cell Research · doi:10.1016/j.scr.2013.07.010 · Cited by 30
Modulation of Cell Signaling Networks after CTLA4 Blockade in Patients with Metastatic Melanoma
Comı́n-Anduix, B., Sazegar, H., Chodon, T., Matsunaga, D. R., Jalil, J., von Euw, E., Escuin-Ordinas, H., BALDERAS, R. S., Chmielowski, B., Gómez-Navarro, J., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012711 · Cited by 29
Evaluation of macrophage-specific promoters using lentiviral delivery in mice
Levin, M. C., Lidberg, U., Jirholt, P., Adiels, M., Wramstedt, A., Gustafsson, K. T., Greaves, D. R., Li, S., Fazio, S., Linton, M. F., et al. (2011) · Gene Therapy · doi:10.1038/gt.2011.195 · Cited by 31
Fast and Robust Route to Hydroporphyrin−Chalcones with Extended Red or Near-Infrared Absorption
Ruzié, C., Krayer, M., & Lindsey, J. S. (2009) · Organic Letters · doi:10.1021/ol900277m · Cited by 30
Flynn, J. K., Paukovics, G., Cashin, K., Borm, K., Ellett, A. M., Roche, M., Jakobsen, M. R., Churchill, M. J., & Gorry, P. R. (2014) · Viruses · doi:10.3390/v6020709 · Cited by 30
Association of two clones allows for optimal detection of human FOXP3
Presicce, P., Moreno‐Fernandez, M. E., Lages, C. S., Orsborn, K. I., & Chougnet, C. A. (2010) · Cytometry Part A · doi:10.1002/cyto.a.20875 · Cited by 29
Techniques: GPCR assembly, pharmacology and screening by flow cytometry
Waller, A., Simons, P. C., Biggs, S. M., Edwards, B. S., Prossnitz, E. R., & Sklar, L. A. (2004) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2004.10.009 · Cited by 30
Cytomics – importance of multimodal analysis of cell function and proliferation in oncology
Tárnok, A., Bocsi, J., & Brockhoff, G. (2006) · Cell Proliferation · doi:10.1111/j.1365-2184.2006.00407.x · Cited by 30
Nouën, C. L., Hillyer, P., Brock, L. G., Winter, C. C., Rabin, R. L., Collins, P. L., & Buchholz, U. J. (2014) · Journal of Virology · doi:10.1128/jvi.03261-13 · Cited by 29
Rudy, B. J., Kapogiannis, B. G., Worrell, C. J., Squires, K., Bethel, J., Li, S., Wilson, C. M., Agwu, A. L., Emmanuel, P. J., Price, G. N., et al. (2015) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000000549 · Cited by 30
Ricci, L. B., Scala, S., Milani, R., Migliavacca, M., Rovelli, A., Bernardo, M. E., Ciceri, F., Aiuti, A., & Biasco, L. (2017) · Cytometry Part A · doi:10.1002/cyto.a.23148 · Cited by 29
Khan, M. M., Ernst, O., Sun, J., Fraser, I. D. C., Ernst, R. K., Goodlett, D. R., & Nita‐Lazar, A. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.06.032 · Cited by 30
Mechano-Optical Analysis of Single Cells with Transparent Microcapillary Resonators
Martín-Pérez, A., Ramos, D., Gil-Santos, E., García‐López, S., Yubero, M. L., Kosaka, P. M., Paulo, Á. S., Tamayo, J., & Calleja, M. (2019) · ACS Sensors · doi:10.1021/acssensors.9b02038 · Cited by 30
Steinbrich‐Zöllner, M., Grün, J. R., Kaiser, T., Biesen, R., Raba, K., Wu, P., Thiel, A., Rudwaleit, M., Sieper, J., Burmester, G. R., et al. (2008) · Cytometry Part A · doi:10.1002/cyto.a.20505 · Cited by 29
A comparison of avalanche photodiode and photomultiplier tube detectors for flow cytometry
Lawrence, W. G., Váradi, G., Entine, G., Podniesinski, E., & Wallace, P. K. (2008) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.758958 · Cited by 29
Roetynck, S., Olotu, A., Simam, J., Marsh, K., Stockinger, B., Urban, B. C., & Langhorne, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055195 · Cited by 28
Auld, D. S., Johnson, R. L., Zhang, Y., Veith, H., Jadhav, A., Yasgar, A., Simeonov, A. M., Zheng, W., Martinez, E. D., Westwick, J. K., et al. (2006) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(06)14029-x · Cited by 29
Raynaud, C. M., Halabi, N. M., Elliott, D. A., Pasquier, J., Elefanty, A. G., Stanley, E. G., & Rafii, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054524 · Cited by 28
Wang, Y., Du, R., Qiao, L., & Liu, B. (2018) · Chemical Communications · doi:10.1039/c8cc05308a · Cited by 28
McCausland, M. M., Lin, Y., Nevers, T., Groves, C. J., & Decman, V. (2021) · Bioanalysis · doi:10.4155/bio-2021-0201 · Cited by 28
Jameson, V. J., Luke, T., Yan, Y., Hind, A., Evrard, M., Man, K., Mackay, L. K., Kallies, A., Villadangos, J. A., McWilliam, H. E. G., et al. (2022) · Cytometry Part A · doi:10.1002/cyto.a.24555 · Cited by 28
Tumeh, P. C., Koya, R. C., Chodon, T., Graham, N. A., Graeber, T. G., Comı́n-Anduix, B., & Ribas, A. (2010) · Journal of Immunotherapy · doi:10.1097/cji.0b013e3181f1d644 · Cited by 28
Fung, E., Esposito, L., Todd, J. A., & Wicker, L. S. (2010) · Nature Protocols · doi:10.1038/nprot.2009.246 · Cited by 29
Learning Signaling Network Structures with Sparsely Distributed Data
Sachs, K., Itani, S., Carlisle, J., Nolan, G. P., Pe’er, D., & Lauffenburger, D. A. (2009) · Journal of Computational Biology · doi:10.1089/cmb.2008.07tt · Cited by 28
Walker, E., Haley, D. P., Petrausch, U., Floyd, K., Miller, W. L., Sanjuan, N., Alvord, G., Fox, B. A., & Urba, W. J. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0022 · Cited by 28
Single-Cell Mass Cytometry of Acute Myeloid Leukemia and Leukemia Stem/Progenitor Cells
Zeng, Z., Konopleva, M. Y., & Andreeff, M. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7142-8_5 · Cited by 28
García‐Timermans, C., Rubbens, P., Heyse, J., Kerckhof, F., Props, R., Skirtach, A. G., Waegeman, W., & Boon, N. (2019) · Cytometry Part A · doi:10.1002/cyto.a.23952 · Cited by 32
Bao, N., Wang, J., & Lu, C. (2008) · Electrophoresis · doi:10.1002/elps.200700856 · Cited by 28
Cytomics as a new potential for drug discovery
Valet, G. (2006) · Drug Discovery Today · doi:10.1016/j.drudis.2006.07.003 · Cited by 29
High Proportion of CD5+ B Cells in Infants Predicts Development of Allergic Disease
Lundell, A., Johansen, S., Adlerberth, I., Wold, A. E., Hesselmar, B., & Rudin, A. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1302990 · Cited by 27
Life on a microarray: assessing live cell functions in a microarray format
Papp, K., Szittner, Z., & Prechl, J. (2012) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-012-0947-z · Cited by 27
Shirakura, Y., Mizuno, Y., Wang, L., Imai, N., Amaike, C., Sato, E., Ito, M., Nukaya, I., Mineno, J., Takesako, K., et al. (2011) · Cancer Science · doi:10.1111/j.1349-7006.2011.02111.x · Cited by 27
Lin, W., Hou, Y., Lu, Y., Abdelrahman, A. I., Cao, P., Zhao, G., Tong, L., Qian, J., Baranov, V. I., Nitz, M., et al. (2014) · Langmuir · doi:10.1021/la403627p · 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
Cell sorting in cancer research—Diminishing degree of cell heterogeneity
Barteneva, N. S., Ketman, K., Fasler‐Kan, E., Potashnikova, D. M., & Vorobjev, I. A. (2013) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2013.02.004 · Cited by 27
The smallest unit: effector and memory CD8+ T cell differentiation on the single cell level
Buchholz, V. R., Gräf, P., & Busch, D. H. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00031 · Cited by 27
Flow Cytometry in Plant Research: A Success Story
Vrána, J., Cápal, P., Bednářová, M., & Doležel, J. (2013) · Plant cell monographs · doi:10.1007/978-3-642-41787-0_13 · Cited by 27
How to Make Distinct Dynamical Systems Appear Spectrally Identical
Campos, A. G., Bondar, D. I., Cabrera, R., & RABITZ, H. A. (2017) · Physical Review Letters · doi:10.1103/physrevlett.118.083201 · Cited by 28
Gilbert, D. F., Wilson, J. C., Nink, V., Lynch, J. W., & Osborne, G. W. (2009) · Cytometry Part A · doi:10.1002/cyto.a.20703 · Cited by 27
McLaughlin, B. E., Baumgarth, N., Bigos, M., Roederer, M., Rosa, S. C. D., Altman, J. D., Nixon, D. F., Ottinger, J. S., Li, J., Beckett, L. A., et al. (2008) · Cytometry Part A · doi:10.1002/cyto.a.20556 · Cited by 27
Self-citationMachine Learning Methods in Clinical Flow Cytometry
Spies, N. C., Rangel, A. E., English, P., Morrison, M., O’Fallon, B. D., & Ng, D. P. (2025) · Cancers · doi:10.3390/cancers17030483 · Cited by 26
Yu, X., Zhang, L., Chaudhry, A., Rapaport, A. S., & Ouyang, W. (2020) · Journal of Leukocyte Biology · doi:10.1002/jlb.6mr0320-234r · Cited by 25
Pan, M., Zhong, Y., Lin, H. X., Bao, H., Zheng, L., Hong, R., Dai, B., Yu, D., Zhang, D., & Zhuang, S. (2021) · Journal of Materials Chemistry C · doi:10.1039/d1tc05254c · Cited by 26
Kobeissy, F. H., Goli, M., Yadikar, H., Shakkour, Z., Kurup, M., Haidar, M. A., Alroumi, S., Mondello, S., Wang, K., & Mechref, Y. S. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1288740 · 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-citationDuriancik, D. M., & Hoag, K. A. (2009) · Cytometry Part A · doi:10.1002/cyto.a.20794 · Cited by 26
Formation and characterization of an ideal excitation beam geometry in an optofluidic device
Watts, B. R., Kowpak, T., Zhang, Z., Xu, C., & Zhu, S. (2010) · Biomedical Optics Express · doi:10.1364/boe.1.000848 · Cited by 26
Increased per cell IFN-γ productivity indicates recent in vivo activation of T cells
Schlingmann, T. R., Shive, C. L., Targoni, O. S., Tary‐Lehmann, M., & Lehmann, P. (2009) · Cellular Immunology · doi:10.1016/j.cellimm.2009.04.002 · Cited by 26
IDO1 and TGF-β Mediate Protective Effects of IFN-α in Antigen-Induced Arthritis
Chalise, J. P., Pallotta, M. T., Narendra, S. C., Björn Carlsson, A., Iacono, A., Namale, J., Boon, L., Grohmann, U., & Magnusson, M. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1502125 · Cited by 26
Peptide Antibodies in Clinical Laboratory Diagnostics
Trier, N. H., & Houen, G. (2017) · Advances in clinical chemistry · doi:10.1016/bs.acc.2017.01.002 · Cited by 26
Mobile Technologies for the Discovery, Analysis, and Engineering of the Global Microbiome
Ballard, Z. S., Brown, C., & Özcan, A. (2018) · ACS Nano · doi:10.1021/acsnano.7b08660 · Cited by 26
Svane, I. M., Pedersen, A. E., Nikolajsen, K., & Zocca, M.-B. (2008) · Vaccine · doi:10.1016/j.vaccine.2008.06.085 · Cited by 26
Devêvre, E., Romero, P. J., & Mahnke, Y. D. (2006) · Journal of Immunological Methods · doi:10.1016/j.jim.2006.01.011 · Cited by 26
Metadata
- Authors
- Perfetto, S. P., Chattopadhyay, P. K., & Roederer, M.
- Affiliations
- National Institutes of Health (US)
- Venue
- Nature Reviews Immunology
- Published
- 2004-08
- Volume
- 4
- Issue
- 8
- Pages
- 648-655
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W1767380958
- Cited by
- 1,019
- References
- 26
- Citations by year
- 2026: 26 · 2025: 33 · 2024: 26 · 2023: 39 · 2022: 40 · 2021: 47 · 2020: 50 · 2019: 39 · 2018: 53 · 2017: 59 · 2016: 62 · 2015: 48 · 2014: 53 · 2013: 65 · 2012: 61
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Lasten Syöpäsäätiö Väreen
- Suomen Kulttuurirahasto
- National Institutes of Health (Z99 AI999999)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Bio-sensing Technologies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Keywords
- polychromatic flow cytometry, flow cytometry instrumentation, fluorescent reagent
- MeSH terms
- Animals, Flow Cytometry, Fluorescent Dyes, Humans, Immune System, Immunophenotyping
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