Dataset Information


Expression data from Yellow Fever 17D vaccine immunized healthy subjects

ABSTRACT: To better understand how innate immunity to vaccination can lead to lasting protective immunity, we have used systemic bioinformatics approaches to define the signature of the yellow fever specific immune response in a cohort of 21 volunteers. Overall design: In this study, we have 21 subjects in the final enrollment. Nine time points had been set as a time-course, which one time point (Day0) before inoculation, and eight time points covered serveal time points after immunization from Hour 4 to Day 28 (Hour4, Day1, Day2, Day3, Day5, Day7, Day14 and Day28). The goal is to indentify some gene expression signature from the microarray data that correlate with immune responses.

INSTRUMENT(S): [PrimeView] Affymetrix Human Gene Expression Array [Brainarray ENTREZG Version 17]

SUBMITTER: Yiming Shao  

PROVIDER: GSE82152 | GEO | 2017-06-25



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A Systems Vaccinology Approach Reveals Temporal Transcriptomic Changes of Immune Responses to the Yellow Fever 17D Vaccine.

Hou Jue J   Wang Shuhui S   Jia Manxue M   Li Dan D   Liu Ying Y   Li Zhengpeng Z   Zhu Hong H   Xu Huifang H   Sun Meiping M   Lu Li L   Zhou Zhinan Z   Peng Hong H   Zhang Qichen Q   Fu Shihong S   Liang Guodong G   Yao Lena L   Yu Xuesong X   Carpp Lindsay N LN   Huang Yunda Y   McElrath Julie J   Self Steve S   Shao Yiming Y  

Journal of immunology (Baltimore, Md. : 1950) 20170707 4

In this study, we used a systems vaccinology approach to identify temporal changes in immune response signatures to the yellow fever (YF)-17D vaccine, with the aim of comprehensively characterizing immune responses associated with protective immunity. We conducted a cohort study in which 21 healthy subjects in China were administered one dose of the YF-17D vaccine; PBMCs were collected at 0 h and then at 4 h and days 1, 2, 3, 5, 7, 14, 28, 84, and 168 postvaccination, and analyzed by transcripti  ...[more]

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