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 啮齿动物背根神经节 (DRG) 模型对于识别细胞和分子 涉及疼痛、神经损伤、再生、变性和各种形式的外周神经的机制 然而，通过在人体组织中进行验证，可以大大改善临床前研究结果的转化。 由于啮齿动物和人类感觉神经元之间存在差异，因此需要对人类所有细胞进行详细研究 DRG 对于未来治疗疼痛状态、神经损伤以及周围神经病变至关重要。 获取人类 DRG 阻碍了我们的协作团队在这方面的独特地位。 为了解决这个问题，我们已经获得了从人体 DRG 中提取手术程序的专业知识。 器官捐献者同意捐献组织用于研究和制备可行的成年 DRG 细胞 结合我们在单细胞测序、成像质量方面的强大专业知识。 通过细胞计数和生物信息学方法，我们将在单细胞水平上定义神经细胞的分子谱 我们将基因表达谱与成像质量相结合。 细胞计数 (IMC)，一种基于组织的蛋白质组学分析，可检测 30 多种蛋白质标记物 同时在单细胞水平上进行组织切片，同时保留细胞的空间关系。 能够以单细胞分辨率同时分析多种不同的细胞类型，并正在重塑 能够探究细胞间相互作用以及细胞及其结构之间的关系 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，识别功能不同的免疫细胞 与疾病进展、治疗结果和疾病预后生物标志物相关的亚群。 我们将开发用于 hDRG 集成 IMC 和单细胞转录组分析的计算方法。 这种空间分辨、高度多重、单细胞转录组学和蛋白质组学分析的应用 疼痛研究方法可能会重塑我们研究细胞群和基因表达的能力 在健康和疼痛条件下神经元和非神经元细胞之间的变化及其空间关系。 通过整合人类 DRG 图谱的细胞、空间和功能分支，我们将极大地扩展 该项目将生成一个参考图集，以描述人类 DRG 在健康和疼痛状态下的特征。 人类 DRG 并定义健康人类 DRG 组织和疼痛条件下的 DRG 的个体差异 具有单细胞分辨率。