Characterization of human DRG at the single cell level via integrated transcriptomics and spatial proteomics

通过整合转录组学和空间蛋白质组学在单细胞水平表征人类 DRG

• 批准号: 10707415
• 负责人: Valeria Cavalli
• 金额: $ 63.53万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10707415
• 关键词: ATAC-seq; Acceleration; Acute Pain; Adult; Affect; Afferent Neurons; American; Antibodies; Architecture; Atlases; Bioinformatics; Biological Markers; Biological Models; Blood Vessels; Cell Communication; Cell Nucleus; Cell physiology; Cells; Chromatin; Classification; Communicable Diseases; Consent; Cytometry; Data; Data Analyses; Data Set; Detection; Development; Diabetes Mellitus; Diabetic Neuropathies; Disease Progression; Environment; Future; Gene Expression; Gene Expression Profile; Gene Expression Profiling; Genes; Genetic Transcription; Genomics; Goals; Human; Image; Immune; Immunology; Infectious Diseases Research; Malignant Neoplasms; Maps; Measurement; Measures; Messenger RNA; Methods; Molecular; Molecular Profiling; Natural regeneration; Neuroglia; Neurons; Nociceptors; Operative Surgical Procedures; Organ; Organ Donor; Pain; Pain Research; Pathologic; Pathway Analysis; Pathway interactions; Peripheral; Peripheral Nervous System Diseases; Population; Positioning Attribute; Preparation; Process; Proteins; Proteomics; Quality Control; Recording of previous events; Research; Resolution; Rodent; Rodent Model; Role; Sampling; Sensory; Shapes; Signal Transduction; Spinal Ganglia; Taxonomy; Technology; Testing; Tissue Donations; Tissue-Specific Gene Expression; Tissues; Translational Research; Translations; Treatment outcome; Validation; Visualization; cancer therapy; cell type; chronic pain; chronic painful condition; computational pipelines; design; disease prognosis; ganglion cell; human tissue; improved; insight; inter-individual variation; knowledge translation; nerve injury; neuronal cell body; novel therapeutics; opioid overuse; pain perception; peripheral pain; pre-clinical; protein biomarkers; protein expression; response; single cell sequencing; single nucleus RNA-sequencing; spatial relationship; tool; transcriptome; transcriptome sequencing; transcriptomics; transmission process

Project Abstract – Project 2 Rodent models of dorsal root ganglia (DRG) have been extremely useful in identifying the cellular and molecular mechanisms involved in pain, nerve injury, regeneration, degeneration, and various forms of peripheral neuropathies. However, translation of preclinical findings may be greatly improved by validation in human tissues. Since differences exist between rodent and human sensory neurons, a detailed study of all cells within human DRG is critical for future treatment of painful state, nerve injuries as well as peripheral neuropathies. The difficulty to gain access to human DRG has hampered progress on that front. Our collaborative team is uniquely positioned to tackle this problem. We have gained expertise in the surgical procedure for extraction of human DRG from organ donors consenting to tissue donation for research and the preparation of viable adult DRG cells for functional and molecular studies. Combined with our strong expertise in single cell sequencing, imaging mass cytometry and bioinformatics approaches, we will define at the single cell level the molecular profile of neuronal and non-neuronal cells within human DRG tissue. We will integrate gene expression profile with imaging mass cytometry (IMC), a tissue-based proteomic analysis that allows the detection of over 30 protein markers simultaneously on tissue sections at the single-cell level while retaining the spatial relationships of the cells. IMC enables a variety of distinct cell types to be analyzed concurrently at a single-cell resolution and is reshaping the ability to interrogate both the intercellular interactions and the architectural relationships between cells and their native microenvironment. This spatially-resolved multiplexed profiling approach has been applied to cancer, diabetes, immunology, and infectious disease research, identifying functionally distinct immune cell subpopulations associated with disease progression, treatment outcomes, and biomarkers for disease prognosis. We will develop computational approaches for integrated IMC and single cell transcriptomic analysis of hDRG. Application of this spatially-resolved, highly multiplexed, single-cell transcriptomics and proteomic profiling approach to pain research will likely reshape our ability to interrogate cell population and gene expression changes and their spatial relationships between neurons and non-neuronal cells in healthy and painful conditions. By integrating the cellular, spatial and functional branches of the human DRG atlas we will dramatically expand the characterization of human DRG in healthy and painful states. This project will generate a reference atlas for human DRG and define inter-individual variability of healthy human DRG tissue and DRG from painful conditions with single cell resolution.

项目摘要 - 项目2 背根神经节（DRG）的啮齿动物模型在识别细胞和分子方面非常有用 疼痛，神经损伤，再生，变性和各种形式的外周的机制 神经病。但是，通过验证人体组织可以大大改善临床前发现的翻译。 由于啮齿动物和人类感觉神经元之间存在差异，因此对人类中所有细胞的详细研究 DRG对于未来治疗疼痛状态，神经损伤以及周围神经病至关重要。困难 为了获得人类DRG，在这方面阻碍了进度。我们的协作团队独特地定位 解决这个问题。我们在从外科手术程序中获得了专业知识来提取人类DRG 器官捐赠者同意组织捐赠进行研究和制备可行的成年DRG细胞 功能和分子研究。结合我们在单细胞测序中的强大专业知识，成像质量 细胞仪和生物信息学方法，我们将在单细胞级定义神经元的分子谱 和人DRG组织中的非神经元细胞。我们将将基因表达谱与成像质量整合 细胞仪（IMC），一种基于组织的蛋白质组学分析，允许检测30多个蛋白质标记物 同样，在单细胞水平的组织切片上，同时保留细胞的空间关系。 IMC 使各种不同的细胞类型可以在单细胞分辨率下同时分析，并正在重塑 能够询问细胞间相互作用和细胞之间的结构关系 本地微环境。这种空间分辨的多重分析方法已应用于癌症， 糖尿病，免疫学和传染病研究，识别功能不同 与疾病进展，治疗结果和疾病进展的生物标志物相关的亚群。 我们将开发用于HDRG的IMC集成和单细胞转录组分析的计算方法。 该空间分辨，高度多路复用的单细胞转录组和蛋白质组学分析的应用 疼痛研究的方法可能会重塑我们询问细胞群体和基因表达的能力 在健康和痛苦的条件下，神经元与非神经元细胞之间的变化及其空间关系。 通过整合人类DRG地图集的细胞，空间和功能分支，我们将大幅扩展 人类DRG在健康和痛苦状态下的表征。该项目将生成一个参考地图集 人类DRG并定义健康人DRG组织和DRG的个体间变异性。 单细胞分辨率。