Integrative Cell Phenotyping Core

综合细胞表型分析核心

基本信息

批准号：
10704367
负责人：
SHERRY L THORNTON
金额：
$ 16.05万
依托单位：
CINCINNATI CHILDRENS HOSP MED CTR
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-01 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10704367
关键词：
Address Apoptosis Area Arthritis Autoimmune Diseases Autoimmune Process Bioinformatics Biological Biology Calibration Cell Cycle Cell Proliferation Cell Separation Cell surface Cells Cellular biology Child Childhood Chronic Childhood Arthritis Clustered Regularly Interspaced Short Palindromic Repeats Collaborations Communities Data Data Analyses Data Storage and Retrieval Dendritic Cells Detection Development Disease Equipment Experimental Designs Flow Cytometry Functional disorder Gene Expression Gene Expression Profiling Genetic Transcription Genomics Goals Health Services Accessibility Human Resources Image Cytometry Immune Immune response Immune system Immunologics Immunophenotyping Individual Inflammation Mediators Inflammatory Joints Juvenile Dermatomyositis Lasers Lymphocyte Macrophage Maintenance Methodology Modeling Pathologic Pathway interactions Phenotype Ploidies Population Procedures Process Protein Secretion Proteins Proteomics Quality Control RNA Reporter Reproducibility Research Research Personnel Resources Rheumatism Rheumatoid Arthritis Rheumatology Sampling Services Signal Transduction Sorting Stains Synovial Fluid Systemic Lupus Erythematosus Technical Expertise Techniques Technology Tissues Training antigen-specific T cells autoimmune rheumatologic disease autoinflammatory autoinflammatory diseases cell type cost data cleaning data management design functional genomics genome editing high dimensionality instrument monocyte novel novel therapeutic intervention pediatric rheumatic diseases release of sequestered calcium ion into cytoplasm single cell analysis single cell proteins transcriptome sequencing transcriptomics voltage

项目摘要

Abstract – Integrative Cell Phenotyping Core (ICPC) Several cell types are involved in inflammatory processes in rheumatic diseases. Understanding the pathobiology of these diseases often requires dissecting out contributions of specific cell subpopulations. The ICPC (Integrative Cell Phenotyping Core) will provide technical expertise, assistance and equipment at a reasonable cost to investigators in the Cincinnati Rheumatic Disease Core Center (CRDCC) whose studies require single cell analysis. ICPC provides training in proper use and interpretation of a number of immunophenotyping methodologies, including flow cytometry, multiplex analyte analysis and single cell genomic, proteomic and spatial transcriptomic analysis. Expertise and assistance will be provided by Core personnel in the following areas: • High-parameter immunophenotyping (cell surface and intracellular) • Single cell gene expression analysis • Cell sorting • Gene expression reporter analysis • Cell proliferation analysis • Cell cycle and DNA content analysis • Apoptosis analysis • Intracellular calcium mobilization analysis • Tetramer staining of antigen-specific T cells • RNA detection by flow cytometry • Cell signalling analysis • CRISPR genome-edited cell identification and sorting • Imaging cytometry • Multiplex protein/analyte detection • Single cell protein secretion • Spatial transcriptomics In addition, the ICPC will facilitate acquisition, analysis and storage of immunophenotyping data, maintain standards and quality control for immunophenotyping, single cell gene expression, and spatial transcriptomics procedures, and will assist in the application and development of new techniques.

摘要 – 综合细胞表型分析核心 (ICPC) 几种细胞类型参与风湿性疾病的炎症过程。这些疾病的病理学通常需要剖析特定细胞亚群的贡献。 ICPC（综合细胞表型核心）将提供技术专业知识、帮助和设备辛辛那提风湿病核心中心 (CRDCC) 的研究人员进行研究的合理费用需要单细胞分析的 ICPC 提供正确使用和解释多项分析的培训。免疫表型分析方法，包括流式细胞术、多重分析物分析和单细胞 Core 将提供基因组、蛋白质组和空间转录组分析的专业知识和帮助。以下领域的人员： • 高参数免疫表型分析（细胞表面和细胞内） • 单细胞基因表达分析 • 细胞分选 • 基因表达报告分析 • 细胞增殖分析 • 细胞周期和DNA 含量分析 • 细胞凋亡分析 • 细胞内钙动员分析 • 抗原特异性 T 细胞的四聚体染色 • 通过流式细胞术检测RNA • 细胞信号分析 • CRISPR 基因组编辑细胞鉴定和分选 • 成像细胞术 • 多重蛋白质/分析物检测 • 单细胞蛋白质分泌 • 空间转录组学此外，ICPC 将促进免疫表型数据的采集、分析和存储，维护免疫表型、单细胞基因表达和空间转录组学的标准和质量控制程序，并将协助新技术的应用和开发。