Core B: Translational, Cellular and Molecular Analysis

摘要-细胞成像和基因组学核心B 核心B，细胞基因组和成像核心(CGI)，将提供集中的实验处理 计划项目赠款(PPG)的服务和主要数据分析。项目1、2之间的交互作用 3主要涉及共享的生物群落和数据；因此，PPG依赖CGI进行协调： (1)试验性和翻译性样本管理。 (2)细胞基因组学，包括RNA-seq、单细胞基因组学和空间转录组学。 (3)原代组织培养细胞特性的影像研究。 (4)样本、分子和基因组数据管理。 CGI核心使PPG能够利用分子技术专家、细胞 生物学家、成像专家和信息学家，以简化数据生产。人体组织的生物链霉菌 活体组织和器官将在实验室信息管理系统(LIMS)中进行跟踪。这些样品 将使用由CGI优化的标准操作协议进行处理，以促进重现性和 所有项目的一致性。这些协议将包括共聚焦显微镜成像，rna-seq，靶向 DNA测序、空间转录和单细胞RNA测序。CGI将生成一个 一系列癌前状态和工作中胃微环境的综合情况 与核心C一起进行数据分析，以推进PPG的总体目标。分子、基因组和表观遗传学 定性将使调查人员能够对胃癌的驱动因素和 精确截取癌症的假想方法。

ABSTRACT – CELLULAR IMAGING AND GENOMICS CORE B Core B, the Cellular Genomics and Imaging Core (CGI), will provide centralized experimental processing services and primary data analysis for the Program Project Grant (PPG). The interactions between Projects 1, 2 and 3 primarily involve shared biospecimens and data; therefore, the PPG relies on the CGI to coordinate: (1) Experimental and translational sample management. (2) Cellular genomics that includes RNA-seq, single cell genomics and spatial transcriptomics. (3) Imaging studies for cellular characterization of primary tissue cultures. (4) Sample, molecular and genomic data management. The CGI core enables the PPG to leverage the combined expertise of molecular technologists, cellular biologists, imaging experts and informaticians to streamline data production. Biospecimens of human tissue biopsies and organoids will be tracked in a laboratory information management system (LIMS). These samples will be processed using standard operating protocols optimized by the CGI to facilitate reproducibility and consistency across all projects. These protocols will cover confocal microscopy imaging, RNA-seq, targeted DNA sequencing, spatial transcriptomics and single cell RNA sequencing. The CGI will produce a comprehensive landscape of the gastric microenvironment across a range of precancerous conditions and work in tandem with Core C for data analysis to further the PPG overall aims. The molecular, genomic and epigenetic characterization will allow investigators to conduct numerous studies on the drivers of gastric cancer and hypothesize methods for precision cancer interception.