Tools for Managing and Disseminating Cardiac Electrophysiology Data

管理和传播心脏电生理学数据的工具

• 批准号: 8312531
• 负责人: RAIMOND Lester WINSLOW
• 金额: $ 45.52万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-05 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8312531
• 关键词: Accreditation; Address; American; Animal Disease Models; Animal Model; Archives; Arrhythmia; Beds; Behavior; Biological; Biological Markers; Biomedical Engineering; Biomedical Research; Cardiac; Cardiac Function Study; Cardiac Myocytes; Cardiovascular Diseases; Cardiovascular system; Cells; Cessation of life; Clinical Data; Communities; Community Outreach; Complex; Computer Simulation; Data; Data Analyses; Data Set; Databases; Disease; Documentation; Electrodes; Electrophysiology (science); Epigenetic Process; Evaluation; Extensible Markup Language; Genetic; Goals; Health; Heart; Heart Diseases; Human; Image; Individual Differences; International; Journals; Lead; Life; Link; Malignant Neoplasms; Measurement; Metadata; Methods; Mission; Modeling; Molecular; Molecular Genetics; Muscle Cells; National Heart, Lung, and Blood Institute; Ontology; Ownership; Peer Review; Phenotype; Physiological; Physiology; Play; Preparation; Procedures; Proteomics; Protocols documentation; Publications; Publishing; Research; Research Infrastructure; Research Personnel; Resource Development; Resources; Retrieval; Risk; Role; Sampling; Security; Series; Services; Societies; Software Tools; Staging; System; Systems Biology; Techniques; Testing; Therapeutic; Time; Tissues; Western World; Work; base; data exchange; data mining; data modeling; data sharing; database of Genotypes and Phenotypes; design; fluorescence imaging; heart function; human data; human tissue; insight; instrument; instrumentation; mortality; peer; repository; research study; sudden cardiac death; tool; tool development; virtual; web interface

DESCRIPTION (provided by applicant): Electrophysiology is a branch of physiology that pertains to the electrical activity of cells and tissues, and the electrical recording techniques that enable measurement of this activity. Electrophysiological data are typically collected using single-electrodes, electrode arrays, and fluorescent imaging systems. They are the most common type of data collected in basic studies of cardiac cells and tissues, as well as many other types of excitable cells. The reason for this is that these data can be used to relate molecular function to the electrical activity of cardiac muscle cells in health and disease. Establishing this relationship is a critically important task, since sudden cardiac death (SCD) from electrical arrhythmia is now the leading cause of mortality in the Western world, exceeding cancer in deaths per year. The number of cardiac electrophysiological (CEP) studies supported by the NHLBI, and the quantity and variety of data collected in these studies of heart function, vastly exceeds that for genetic, transcriptional or proteomic studies. While there are resources (e.g., dbGaP, dbSNP, GEO, ArrayExpress, World-2DPAGE Repository, etc) for the documentation and dissemination of these latter data types, no infrastructure exists for managing and sharing celular, tissue, and whole-heart electrophysiological data. The lack of this infrastructure means that these data are being "lost" in the sense that they exist only in the labs of those who collect it. They are seldom, if ever, disseminated by any means other than publication in peer-reviewed journals. Published data sets are limited to a few ideal examples presented in a way (images) that does not support re-use and further quantitative analysis. To address this problem, our goal is to create software tools for annotating, storing, sharing, and querying CEP data, including both primary data from measurement instrumentation and metadata regarding experimental protocols and results of data analyses. The Cardiovascular Research Grid Project will host a national repository for these experimental data and metadata. The creation of this national repository will, for the first time, make it possible for researchers to organize, archive, and search their own data and share it with others. It will enable re-use of the data so that other groups can mine the data for new results, use the data to design new experiments, and to formulate computational models of cell, tissue and heart function in health and disease. The ability to annotate data according to species, disease, and animal models of disease (including de-identified data from human tissue), as well as other ways, will support deep analysis of the electrophysiological basis of heart disease. Each of these capabilities will help provide fundamentally important insights into the mechanisms of cardiac arrhythmias, and possible therapeutic approaches that can help reduce risk of SCD.

描述（由申请人提供）：电生理学是生理学的一个分支，涉及细胞和组织的电活动，以及能够测量该活动的电记录技术。电生理数据通常使用单电极、电极阵列和荧光成像系统来收集。它们是心脏细胞和组织以及许多其他类型的可兴奋细胞的基础研究中收集的最常见的数据类型。原因是这些数据可用于将分子功能与健康和疾病中心肌细胞的电活动联系起来。建立这种关系是一项极其重要的任务，因为电性心律失常引起的心源性猝死 (SCD) 目前是西方世界的首要死因，每年的死亡人数超过了癌症。 NHLBI 支持的心脏电生理学 (CEP) 研究的数量，以及这些心脏功能研究中收集的数据的数量和种类，远远超过了遗传、转录或蛋白质组学研究。虽然有用于记录和传播这些数据类型的资源（例如 dbGaP、dbSNP、GEO、ArrayExpress、World-2DPAGE 存储库等），但不存在用于管理和共享细胞、组织和全心电生理数据的基础设施。缺乏这种基础设施意味着这些数据正在“丢失”，因为它们只存在于收集数据的人的实验室中。除了在同行评审期刊上发表之外，它们很少（如果有的话）以任何方式传播。已发布的数据集仅限于以不支持重复使用和进一步定量分析的方式（图像）呈现的一些理想示例。为了解决这个问题，我们的目标是创建用于注释、存储、共享和查询 CEP 数据的软件工具，包括来自测量仪器的主要数据以及有关实验协议和数据分析结果的元数据。心血管研究网格项目将为这些实验数据和元数据建立一个国家存储库。这个国家存储库的创建将首次使研究人员能够组织、存档和搜索自己的数据并与他人共享。它将实现数据的重复使用，以便其他小组可以挖掘数据以获得新的结果，使用这些数据设计新的实验，并制定健康和疾病中细胞、组织和心脏功能的计算模型。根据物种、疾病和疾病动物模型（包括来自人体组织的去识别数据）以及其他方式对数据进行注释的能力，将支持对心脏病电生理学基础的深入分析。这些功能中的每一项都将有助于提供对心律失常机制的根本性重要见解，以及有助于降低 SCD 风险的可能治疗方法。