Multiparametric Host Cell Analysis (MHC)

多参数宿主细胞分析 (MHC)

• 批准号: 10548862
• 负责人: Luis Bruno Barreiro
• 金额: $ 28.21万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-12-01 至 2025-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10548862
• 关键词: ATAC-seq; Address; Antibodies; Area; Automobile Driving; Back; Bioinformatics; Biological; Biological Assay; Biological Sciences; Celiac Disease; Cell Separation; Cells; ChIP-seq; Chicago; Chromatin; Communities; Complex; Computational Biology; Consultations; Crohn' s disease; DNA Methylation; Data; Data Analyses; Data Collection; Data Set; Detection; Development; Digestive System Disorders; Dimensions; Disease; Disease susceptibility; Epigenetic Process; Flow Cytometry; Fluorescence; Gastrointestinal Diseases; Gene Expression Regulation; Genetic; Genetic Transcription; Genetic Variation; Genomics; Goals; Histones; Human; Immune; Immunologics; Immunology; Inflammation; Inflammatory Bowel Diseases; Interdisciplinary Study; Investments; Maintenance; Massive Parallel Sequencing; Methods; Nucleic Acids; Physiological; Population; Predisposition; Process; Proteins; Protocols documentation; Regulator Genes; Regulatory Element; Regulatory Pathway; Research; Research Design; Research Personnel; Resolution; Role; Sampling; Series; Services; Sorting; Speed; Standardization; Stimulus; Technology; Therapeutic; Tissue Sample; Tissues; Training; Ulcerative Colitis; Universities; analysis pipeline; bioinformatics pipeline; biological systems; cell stroma; cell type; clinical diagnostics; computerized tools; data integration; data sharing; diagnostic tool; disorder risk; epigenomics; experimental study; gastrointestinal; genetic variant; genome analysis; genome-wide; genomic data; genomic tools; healing; high dimensionality; human tissue; interest; member; model organism; molecular marker; next generation sequencing; prenatal testing; programs; response; single-cell RNA sequencing; tool; trait; transcriptome; transcriptome sequencing; treatment response; virtual

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.

项目总结/摘要 近年来，对人类和模式生物复杂性状的研究取得了相当大的进展。 多维高分辨率基因组学数据和免疫学数据允许研究复杂的生物学 网络，以及细胞状态和功能的动态变化，在以前是不可能的。的使用 然而，这些技术需要在基因组学、免疫学和计算机科学方面高度专业化的专门知识， 生物学多参数宿主细胞分析（MHC）核心的主要目标是提供多参数宿主细胞分析的成员。 芝加哥大学（U芝加哥）消化系统疾病研究核心中心（DDRCC） 研究炎症性肠道疾病（C-IID）与这样的专业水平，进一步促进使用 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 （一）提供咨询服务，为适应国际标准的人体组织分离、分析和细胞分选规程提供咨询服务， 不同形式的检测，（二）咨询服务和开发定制的抗体面板，为高 （iii）使用光谱流式细胞术对人类样品进行高分辨率细胞组织分析， 基于对28种细胞的检测，从组织样品中分选6种不同的细胞群 使用先进的BD Biosciences分选仪（FACSymphony S6 High Parameter Cell 排序器），（iv）建议基因组实验的研究设计;（v）一系列预优化的基因组测定 (e.g.,单细胞RNA-seq，表观遗传图谱）;（vi）标准化和验证的分析管道， 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.核心提供的实验协议和分析管道的标准化将有助于 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， C-IID成员之间的数据集成和共享。