{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T11:04:46Z","timestamp":1777460686339,"version":"3.51.4"},"reference-count":53,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2021,11,22]],"date-time":"2021-11-22T00:00:00Z","timestamp":1637539200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000288","name":"Royal Society","doi-asserted-by":"publisher","award":["IES\\R3\\170319"],"award-info":[{"award-number":["IES\\R3\\170319"]}],"id":[{"id":"10.13039\/501100000288","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000289","name":"Cancer Research UK","doi-asserted-by":"publisher","award":["FC001003"],"award-info":[{"award-number":["FC001003"]}],"id":[{"id":"10.13039\/501100000289","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cytometry Pt A"],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Here we consider how high\u2010content flow cytometric methodology at appropriate scale and throughput rapidly provided meaningful biological data in our recent studies of COVID\u201019, which we discuss in the context of other similar investigations. In our work, high\u2010throughput flow cytometry was instrumental to identify a consensus immune signature in COVID\u201019 patients, and to investigate the impact of SARS\u2010CoV\u20102 exposure on patients with either solid or hematological cancers. We provide here some examples of our \u2018holistic\u2019 approach, in which flow cytometry data generated by lymphocyte and myelomonocyte panels were integrated with other analytical metrics, including SARS\u2010CoV\u20102\u2010specific serum antibody titers, plasma cytokine\/chemokine levels, and in\u2010depth clinical annotation. We report how selective differences between T cell subsets were revealed by a newly described flow cytometric T<jats:sub>DS<\/jats:sub> assay to distinguish actively cycling T cells in the peripheral blood. By such approaches, our and others' high\u2010content flow cytometry studies collectively identified overt abnormalities and subtle but critical changes that discriminate the immuno\u2010signature of COVID\u201019 patients from those of healthy donors and patients with non\u2010COVID respiratory infections. Thereby, these studies offered several meaningful biomarkers of COVID\u201019 severity that have the potential to improve the management of patients and of hospital resources. In sum, flow cytometry provides an important means for rapidly obtaining data that can guide clinical decision\u2010making without requiring highly expensive, sophisticated equipment, and\/or \u201c\u2010omics\u201d capabilities. We consider how this approach might be further developed.<\/jats:p>","DOI":"10.1002\/cyto.a.24516","type":"journal-article","created":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T05:18:20Z","timestamp":1637644700000},"page":"117-126","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["<scp>COVID<\/scp>\u201019: Using high\u2010throughput flow cytometry to dissect clinical heterogeneity"],"prefix":"10.1002","volume":"103","author":[{"given":"Irene","family":"del Molino del Barrio","sequence":"first","affiliation":[{"name":"Peter Gorer Department of Immunobiology King's College London  London UK"},{"name":"University College London  London UK"},{"name":"Cancer Research UK Cancer Immunotherapy Accelerator  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas S.","family":"Hayday","sequence":"additional","affiliation":[{"name":"Peter Gorer Department of Immunobiology King's College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam G.","family":"Laing","sequence":"additional","affiliation":[{"name":"Peter Gorer Department of Immunobiology King's College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian C.","family":"Hayday","sequence":"additional","affiliation":[{"name":"Peter Gorer Department of Immunobiology King's College London  London UK"},{"name":"Cancer Research UK Cancer Immunotherapy Accelerator  London UK"},{"name":"Immunosurveillance Laboratory The Francis Crick Institute  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0252-9138","authenticated-orcid":false,"given":"Francesca","family":"Di Rosa","sequence":"additional","affiliation":[{"name":"Institute of Molecular Biology and Pathology National Research Council of Italy  Rome 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