Computational systems immunology core

计算系统免疫学核心

基本信息

批准号：
10598096
负责人：
Soumya Raychaudhuri
金额：
$ 55.95万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-06-15 至 2026-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10598096
关键词：
Acceleration Algorithms Architecture Autoimmune Diseases B-Lymphocytes Cell Communication Cells Clonal Expansion Complex Computational Biology Data Data Analytics Data Science Data Set Development Discriminant Analysis Disease Event Fibroblasts Gene Expression Genetic Transcription Genomic approach Goals Grant Heterogeneity Hospitals Human Resources Image Image Analysis Immune Immunology Individual Laboratories Lesion Manuals Medical Methods Morphologic artifacts National Institute of Allergy and Infectious Disease National Institute of Arthritis, and Musculoskeletal, and Skin Diseases Physiological Population Positioning Attribute Program Research Project Grants Protocols documentation Research Rheumatism Rheumatoid Arthritis Sampling Series Structure System Systemic Lupus Erythematosus Systems Biology T-Lymphocyte Testing Time Tissue Stains Tissues Training Tuberculosis Woman biomarker identification cell type deep learning experience experimental study high dimensionality image processing imaging platform insight large scale data machine learning classifier medical schools monocyte multidimensional data programs single cell analysis single-cell RNA sequencing success technology/technique transcriptome sequencing trend

项目摘要

Abstract The three research projects of this program project grant utilize single cell genomic strategies and complementary imaging strategies to define cell-cell interactions in target tissues in systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). These projects will be used to develop insight into the development, function, localization, and interactions of B and T lymphocytes (Project 1), monocytes (Project 2), and fibroblasts (Project 3). Key to understanding these cell-types is the effective interpretation of complex high- dimensional data sets. The Computational Systems Immunology (CSI) core will support the analytical and computational needs for the three projects. This core will build from our experience with the Accelerating Medical Partnerships (AMP) RA/SLE program where analysis of high dimensional single cell data sets has now given us the first look at the constituent immune and stromal cellular populations. CSI will 1) employ computational strategies to analyze and integrate multiple single cell RNA-seq datasets to define key cellular populations 2) use trajectory analysis to define transitional states between cells. 3) Define clonal populations with repertoire sequencing and 4) Define the relationship between cell-cell interactions and transcriptional states. The CSI is uniquely positioned to analyze and integrate RA and SLE data with its long-standing expertise in rheumatic diseases, systems biology, and imaging analysis.

抽象的该计划项目资助的三个研究项目利用单细胞基因组策略和补充成像策略来定义系统性狼疮靶组织中的细胞-细胞相互作用红斑狼疮（SLE）和类风湿性关节炎（RA）。这些项目将用于深入了解 B 和 T 淋巴细胞（项目 1）、单核细胞（项目 2）的发育、功能、定位和相互作用，和成纤维细胞（项目 3）。了解这些细胞类型的关键是有效解释复杂的高维度数据集。计算系统免疫学 (CSI) 核心将支持分析和这三个项目的计算需求。这个核心将建立在我们加速的经验之上医疗合作伙伴 (AMP) RA/SLE 项目现已开展高维单细胞数据集分析让我们第一次看到了免疫细胞和基质细胞群的组成。 CSI 将 1) 雇用分析和整合多个单细胞 RNA-seq 数据集以定义关键细胞的计算策略群体 2) 使用轨迹分析来定义细胞之间的过渡状态。 3) 定义克隆群体与库测序和 4) 定义细胞间相互作用和转录之间的关系州。 CSI 在分析和整合 RA 和 SLE 数据及其长期积累的数据方面具有独特的优势。风湿病、系统生物学和成像分析方面的专业知识。