Transcriptomic signatures of cellular and humoral immune responses in older adults after seasonal influenza vaccination identified by data-driven clustering

• Published in: Scientific reports Vol. 8; no. 1; pp. 739 - 16
• Main Authors: Voigt, Emily A., Grill, Diane E., Zimmermann, Michael T., Simon, Whitney L., Ovsyannikova, Inna G., Kennedy, Richard B., Poland, Gregory A.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.01.2018; Nature Publishing Group
• Subjects: 38; 631/208/248/144; 631/250/248; Aged; CD19 antigen; Cell-mediated immunity; Computational Biology; Cytotoxicity; Data mining; Data processing; Female; Gene clusters; Gene expression; Gene Expression Profiling; Healthy Volunteers; Humanities and Social Sciences; Humans; Immune response; Immune response (humoral); Immunity, Cellular; Immunity, Humoral; Immunologic Factors - biosynthesis; Immunologic Factors - genetics; Influenza; Influenza Vaccines - administration & dosage; Influenza Vaccines - immunology; Lymphocytes B; Lymphocytes T; Male; Middle Aged; Monocytes; multidisciplinary; Older people; Peripheral blood mononuclear cells; Science; Science (multidisciplinary); Seasons; Vaccination; Vaccines
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-017-17735-x

PBMC transcriptomes after influenza vaccination contain valuable information about factors affecting vaccine responses. However, distilling meaningful knowledge out of these complex datasets is often difficult and requires advanced data mining algorithms. We investigated the use of the data-driven Weighted Gene Correlation Network Analysis (WGCNA) gene clustering method to identify vaccine response-related genes in PBMC transcriptomic datasets collected from 138 healthy older adults (ages 50–74) before and after 2010–2011 seasonal trivalent influenza vaccination. WGCNA separated the 14,197 gene dataset into 15 gene clusters based on observed gene expression patterns across subjects. Eight clusters were strongly enriched for genes involved in specific immune cell types and processes, including B cells, T cells, monocytes, platelets, NK cells, cytotoxic T cells, and antiviral signaling. Examination of gene cluster membership identified signatures of cellular and humoral responses to seasonal influenza vaccination, as well as pre-existing cellular immunity. The results of this study illustrate the utility of this publically available analysis methodology and highlight genes previously associated with influenza vaccine responses (e.g., CAMK4, CD19), genes with functions not previously identified in vaccine responses (e.g., SPON2, MATK, CST7), and previously uncharacterized genes (e.g. CORO1C, C8orf83) likely related to influenza vaccine-induced immunity due to their expression patterns.