Data Core

项目摘要（数据核心） 该U19中心建议使用人类TG/DRG组织和疼痛性神经瘤来产生大规模的多- 用于发现和表征功能遗传元件、表观遗传特征和 分子/细胞途径，构成人类疼痛转导、传递和处理的基础。为一体的 数据核心是中心的关键组成部分，旨在通过构建数据基础设施来充当数据中心， 提供数据管理，协调，分析和共享给中心内的研究者和其他 社区中心。这些项目将产生近4,000个临床（疼痛评分， 人口统计学），单细胞RNA-seq，单细胞ATAC-seq，SNP基因分型，空间转录组学， MERFISH和来自150名捐赠者的1，700多个样本的生理学。 数据核心将首先协调数据集并存储在集中的MySQL数据库中， Web接口，用于中心中的其他核心。将开发标准生物信息学管道， 以系统的方式收集原始数据，包括每个大脑区域中的细胞类型注释和空间位置。的 Data Core还将支持研究项目的定制分析，包括功率分析， 不同细胞类型、脑区域和诊断之间的差异表达和染色质可及性。它将 还通过xQTL分析揭示了与各种分子特征相关的遗传变异。最后，所有 这些计算模块和工具将被集成到一个全面的、基于云的、交互式的门户网站中， 疼痛数据门户，提供了一个普遍有用的资源，用于生成生物学假设，发现 有效的诊断生物标志物，并开发新的疼痛治疗方法。数据核心还将确保及时 与社区中的其他U19和U24中心进行数据传输和专业知识共享。

PROJECT SUMMARY (Data Core) This U19 Center propose to use human TG/DRG tissue and painful neuromas to generate large-scale multi- omics datasets for the discovery and characterization of functional genetic elements, epigenetic signatures, and molecular/cellular pathways that underlie human pain transduction, transmission, and processing. As one of the key components of the Center, the Data Core aims to act as a data center by building data infrastructure, providing data management, coordination, analysis, and sharing to the investigators within the Center and other centers in the community. The projects will generate nearly 4,000 datasets of clinical (pain scores, demographics), single-cell RNA-seq, single-cell ATAC-seq, SNP genotyping, spatial transcriptomics from MERFISH, and physiology for over 1,700 samples from 150 donors. The Data Core will first harmonize the datasets and store in centralized MySQL database with accessible web interface for other cores in the Center. Standard bioinformatics pipelines will be developed to process the raw data in a systematic manner, including cell type annotation and spatial location in each brain region. The Data Core will also support the research Projects on their customized analysis, including power analysis, differential expression and chromatin accessibility across different cell types, brain regions, and diagnosis. It will also reveal the genetic variants that are associated with various molecular features via xQTL analysis. Last, all these computed blocks and tools will be integrated into a comprehensive, cloud-based, interactive web portal – Pain Data Portal, providing a generally useful resource for generating biological hypotheses, discovering effective diagnosis biomarkers, and developing new treatments for pain. The Data Core will also ensure a timely data transfer and expertise sharing with the other U19 and U24 centers in the community.