five

Dataset from Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://doi.org/10.25934/00005499
下载链接
链接失效反馈
官方服务:
资源简介:
Infection is the most common cause of death in early life, especially for newborns and can be reduced by immunization but insufficient knowledge of how vaccines protect the very young limits their optimal use. To gain insight into how vaccines induce protection of the most vulnerable, this National Institutes of Health (NIH)/National Institute of Allergy & Infectious Diseases (NIAID)-funded Human Immunology Project Consortium (HIPC) study, based at Boston Children's Hospital and conducted by the Expanded Program on Immunization Consortium (EPIC), employs two novel approaches studying newborn responses to hepatitis B vaccine (HBV): (a) systems biology that uses technologies which comprehensively measure global changes in molecules such as transcriptomics (RNA) and proteomics (proteins), as well as cell composition of the blood and (b) use of human newborn blood components, collected prior to immunization, to model vaccine responses in vitro (outside the body). Characterizing vaccine-induced molecular patterns ("signatures") that correspond to vaccine-mediated protection will accelerate development and optimization of vaccines against early life infections of major global health importance.
创建时间:
2026-02-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作