Multiparametric Host Cell Analysis (MHC)

项目摘要/摘要 近年来，对人类和模式生物复杂性状的研究取得了长足的进步。 多维高分辨率基因组数据和免疫学数据允许研究复杂的生物学 网络，以及蜂窝状态和功能的动态以一种以前不可能实现的分辨率。的用法 然而，这些技术需要高度专业化的基因组学、免疫学和计算机专业知识。 生物学。多参数宿主细胞分析(MHC)核心的主要目标是为 芝加哥大学消化系疾病研究核心中心(DDRCC) 具有这种专业水平的炎症性肠病(C-IID)的研究，进一步促进了对 胃肠道研究中最先进的基因组技术。具体来说，MHC核心将提供 社区：(I)人体组织分离、分析和细胞分类方案的咨询服务，以适应 不同形式的检测，(Ii)咨询服务和开发针对高血压病患者的定制抗体板 使用光谱流式细胞术对人体样本进行细胞组织分辨率分析，(Iii)先进的流程 基于对28个细胞的检测对组织样本中6种不同群体细胞的细胞学分选 使用先进的BD生物科学分选器(FAC、SYMPHONY S6高参数单元)的荧光标记 分类器)，(Iv)为基因组实验的研究设计提供建议；(V)一系列预先优化的基因组分析 (6)标准化和经验证的分析管道，用于 不同基因组数据集的分析，以及(Vii)基因组和流式细胞术数据的生物信息学支持 分析。核心提供的实验方案和分析管道的标准化将有所帮助 最大限度地减少数据收集、管理、维护过程中的错误，更重要的是，为下游提供便利 C-IID成员之间的数据集成和共享。

PROJECT SUMMARY/ABSTRACT The study of complex traits in humans and model organisms has made considerable progress in recent years. Multi-dimensional high-resolution genomics data and immunological data allows to study complex biological networks, and the dynamics of cellular state and function at a resolution not possible before. The usage of these technologies require, however, highly specialized expertise in genomics, immunology, and computational biology. The primary goal of the Multiparametric Host Cell Analysis (MHC) Core is to provide members of the University of Chicago (UChicago) Digestive Diseases Research Core Center (DDRCC) for Interdisciplinary Study of Inflammatory Intestinal Disorders (C-IID) with such level of expertise, further promoting the usage of state-of-the-art genomic technologies in gastrointestinal research. Specifically, the MHC core will provide the community: (i) consulting service for human tissue isolation, analysis and cell sorting protocols adapted to the different forms of assays, (ii) consulting services and development of customized antibody panels for high resolution cellular tissue profiling of human samples using spectral flow cytometry, (iii) advanced flow cytometry sorting of 6 different populations of cells from a tissue sample based on the detection of 28 fluorescence marker using an advanced BD Biosciences sorter (FACSymphony S6 High Parameter Cell Sorter), (iv) advise with the study design of genomic experiments; (v) a series of pre-optimized genomic assays (e.g., single-cell RNA-seq, epigenetic profiles); (vi) standardized and validated analytical pipelines for the analyses of different genomic datasets, and (vii) bioinformatics support for genomic and flow cytometry data analysis. The standardization of experimental protocols and analytical pipelines offered by the core will help minimize the errors during data collection, management, maintenance, and, importantly, facilitate downstream data integration and sharing among C-IID members.