FLOOD: FLow cytometric Orthogonal Orientation for Diagnosis

Jeroen J. Jansen*, Bart Hilvering, André van den Doel, Peter Pickkers, Leo Koenderman, Lutgarde M.C. Buydens, Oscar F. van den Brink

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Multicolour Flow Cytometry (MFC) is widely used for single-cell analysis and employs a vastly increasing number of markers. It can be used for disease diagnosis, research of disease mechanisms and the identification and isolation of individual cells based on their surface marker profile. However, data analysis methods exploiting all these advantages are lacking. Our novel FLow cytometric Orthogonal Orientation for Diagnosis (FLOOD) method reveals disease specific marker patterns. The method constructs a benchmark from surface marker abundances that is used to highlight deviations of challenged from unchallenged individuals. We demonstrate its power in an in vivo study of the response of healthy humans to lipopolysaccharide (LPS) challenge. FLOOD reveals a reproducible pattern of challenge specific markers on blood neutrophils. The method both provides new mechanistic insights and confirms established knowledge on LPS-response, which demonstrates the high potential of FLOOD for both clinical and research application.

Original languageEnglish
Pages (from-to)126-135
Number of pages10
JournalChemometrics and Intelligent Laboratory Systems
Publication statusPublished - 15 Feb 2016

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