免疫系统
生物
2019年冠状病毒病(COVID-19)
大流行
免疫学
免疫
效应器
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
病毒学
系统生物学
计算生物学
疾病
传染病(医学专业)
医学
病理
作者
Matthew C. Woodruff,Caterina E. Faliti,Igñacio Sanz
标识
DOI:10.1016/j.smim.2024.101875
摘要
The integration of multi-'omic datasets into complex systems-wide assessments has become a mainstay in immunologic investigation. This focus on high-dimensional data collection and analysis was on full display in the investigation of COVID-19, the respiratory illness resulting from infection by the novel coronavirus SARS-CoV-2. Particularly in the area of B cell biology, tremendous efforts in both cellular and serologic investigation have resulted in an increasingly detailed mapping of the coordinated effector, memory, and antibody secreting cell responses that underpin the development of humoral immunity in response to primary viral infection. Further, the rapid development and deployment of effective vaccines has allowed for the assessment of developing memory responses across a wide variety of immune contexts, including in patients with compromised immune function. The result has been a period of rapid gains in the understanding of B cell biology unrestricted to the study of COVID-19. Here, we outline the systems-level technologies that have been routinely implemented in these investigations throughout the pandemic, and discuss how their use has led to clear and applicable gains in pursuance of the amelioration of human infectious disease and beyond.
科研通智能强力驱动
Strongly Powered by AbleSci AI