Immune Responses to Malaria, HIV and SARS-CoV-2 Infection and Immunization - Service Core

摘要 免疫系统由许多不同类型的细胞组成，它们以协同的方式作出反应。 对病原体立即和长期免疫的方式。的复杂性 免疫系统需要一个综合的多种生物模式的观点来理解 免疫系统中不同细胞类型的不同作用。详细的转录和蛋白质 单细胞水平的分析对于跟踪免疫系统对病原体的反应是必不可少的 在建立抗原特异性反应过程中。重点放在有助于 抗原特异性细胞和体液免疫应答分析--一体化多体液免疫系统 CORE将作为标准化、优化和执行多组单细胞研究的资源 支持项目1、项目2和项目3的生物学研究目标。 标准化和自动化分析将使纵向和横断面分析成为可能 研究项目内和研究项目之间的人体样本。具体地说，核心将提供：i. 标准化高通量流式细胞术、批量转录和血浆蛋白质组学；井 建立了分析抗原特异性T细胞和B细胞反应的协同分析方法， 包括几种用于分析抗原特异性T细胞的正交方法和一系列 系统血清学检测；成本效益优化的单细胞测序多组学 细胞蛋白分析方法.表达、基因表达、适应性受体 基于10x基因组学平台的序列、抗原特异性和表观基因组学。 此外，我们将使用协作云环境来支持数据摄取、处理 并提供给DMAC以存放到ImmPort中，以支持快速公共访问和 数据集成和可视化方面的创新。

Abstract The immune system is composed of many heterogeneous cell types that respond in a synergistic manner to mount both immediate and long-lived immunity against pathogens. The complexity of the immune system necessitates an integrated view of multiple biological modalities to understand different roles of varying cell types of the immune system. Detailed transcriptomic and protein analysis at the single cell level is essential to follow the immune system’s response to pathogens in mounting an antigen specific response. With heavy emphasis on assays that facilitate the analysis of antigen-specific cellular and humoral immune responses, the Integrative Multi-Omics Core will serve as a resource to standardize, optimize, and perform multi-omic single cell research to support the biological research objectives of Projects 1, 2 and 3. The implementation of highly standardized and automated assays will enable longitudinal and cross-sectional analysis of the human samples within and across the research projects. Specifically, the core will provide: i. standardized high throughput flow cytometry, bulk transcriptomics and plasma proteomics; ii. well established synergistic assays for the analysis of antigen-specific T cell and B cell responses, including several orthogonal approaches for profiling antigen-specific T cells and a range of systems serology assays; and iii. optimized cost-efficient single-cell sequencing multi-omics methods for analysis of cellular protein-expression, gene-expression, adaptive receptor sequences, antigen-specificity, and epigenomics based on the 10x Genomics platform. Furthermore, we will use a collaborative cloud environment to support data ingest, processing and provision to the DMAC for deposition into ImmPort in support of rapid public access and innovation in data integration and visualization.