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Allergen T cell epitopes during the management of peanut allergic disease

花生过敏性疾病治疗过程中的过敏原 T 细胞表位

基本信息

批准号：
10318124
负责人：
Peter S Linsley
金额：
$ 8.85万
依托单位：
BENAROYA RESEARCH INST AT VIRGINIA MASON
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-01-01 至 2023-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10318124
关键词：
Allergens Allergic Disease Allergy to peanuts Antigens Automobile Driving Biological Markers CD4 Positive T Lymphocytes Cell Differentiation process Cells Cluster Analysis Color Complement Cytometry Data Epitopes Flow Cytometry Gene Expression Gene Expression Profiling Genes Heterogeneity Histocompatibility Antigens Class II Immune Immune Tolerance Immunology Immunotherapy Individual Knowledge Laboratories Pathway interactions Patient Selection Peptides Phenotype Play Population Process Property Role Statistical Data Interpretation Supervision Surface System Systems Biology T-Cell Receptor T-Lymphocyte Epitopes Techniques Technology Work advanced analytics analytical tool data submission design experience experimental group experimental study improved new technology novel oral immunotherapy protein expression public database public repository single cell analysis single-cell RNA sequencing transcriptome transcriptome sequencing

项目摘要

Project Summary The Gene expression and Systems Immunology (GeSI) Core will provide support for this center by implementation of advanced analysis of flow and mass cytometry (CyTOF), and bulk and single cell RNA- sequencing (RNA-seq). Work in the Core to achieve this function will be organized around three technologies. We will utilize advanced analysis techniques of multi-color flow cytometry and mass cytometry data to elucidate selected phenotypic properties of peanut allergen-reactive CD4+ T cells. These studies will complement standard flow and mass cytometry analyses performed in the PI's laboratories in project-specific experiments. We will use RNA-seq to elucidate full transcriptome phenotypes of bulk populations of peanut allergen specific CD4+ T cells. Knowledge from these experiments will drive design of better flow and mass cytometry experiments in the individual projects, and will aid in analysis of single cell RNA- sequencing (RNA-seq) experiments. We will utilize novel technologies to perform single cell analysis of transcriptome phenotypes and TCR clonotypes of allergen-specific CD4+ T cells. These experiments will facilitate understanding of heterogeneity of allergen-specific CD4+ T cells in PA and in determining mechanism(s) involved in successful OIT. Together, we expect the technologies we provide to play a major role in completion of the component projects, and in driving improved understanding of immune aspects of PA. We also anticipate identifying new biomarkers, new targets and better strategies for patient selection in OIT.

项目摘要基因表达和系统免疫学（GeSI）核心将为该中心提供支持，先进的流式细胞仪和质谱仪（CyTOF）分析的实施，以及批量和单细胞RNA- 测序（RNA-seq）。核心中实现这一功能的工作将围绕三种技术进行组织。我们将利用多色流式细胞术和质谱细胞术数据的先进分析技术，阐明花生变应原反应性CD 4 + T细胞的选定表型特性。这些研究将补充PI实验室在项目特定条件下进行的标准流式细胞术和质谱分析实验我们将使用RNA-seq来阐明大规模群体的全转录组表型，花生过敏原特异性CD 4 + T细胞。从这些实验中获得的知识将推动更好的流动设计和大规模细胞计数实验在个别项目，并将有助于分析单细胞RNA- 测序（RNA-seq）实验。我们将利用新技术进行单细胞分析转录组表型和过敏原特异性CD 4 + T细胞的TCR克隆型。这些实验将有助于了解PA中变应原特异性CD 4 + T细胞的异质性，成功的OIT所涉及的机制。总之，我们希望我们提供的技术能够发挥重要作用，在完成组件项目中发挥作用，并推动对PA免疫方面的理解。我们还期望确定新的生物标志物，新的目标和更好的策略，用于OIT患者的选择。