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Daigo Okada, Naotoshi Nakamura, Kazuya Setoh, Takahisa Kawaguchi, Maiko Narahara, Koichiro Higasa, Yasuharu Tabara, Fumihiko Matsuda, Ryo Yamada (Center for Genomic Medicine, Graduate School of Medicine Kyoto University Nanbusogo-Kenkyu-To-1, 5F 53 Syogoin-Kawaharacho, Sakyo-ku, Kyoto)
Fluorescence Activated Cell Sorting (FACS) is a technique useful for identifying and quantifying cell populations by measuring the expression level of single cell markers, and used extensively in immunological study. In this study, we established a workflow to comprehensively quantify and visualize differences in whole cell population profile using large scale FACS data. We used six markers FACS data from peripheral blood of 297 people before and after influenza vaccination. We comprehensively quantified 64 cell sub-populations defined by expressed/not-expressed combination of six markers for all samples. We visualized the change the whole cell population profile caused by influenza vaccination using Hinton diagram. Hinton diagram is one of the method for visualizing 2D matrix whose element of the matrix is visualized by square, whose color and size represent the sign and the magnitude of the value. As a result, we could detect lymphocytes subsets whose abundance changes before and after vaccination.