A collaboration platform for proteomics biomarker analysis

蛋白质组学生物标志物分析协作平台

• 批准号: 7326764
• 负责人: ERIK J NILSSON
• 金额: $ 59.04万
• 依托单位: INSILICOS
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-01-18 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7326764
• 关键词: Address; Architecture; Arts; Bioinformatics; Biological; Biological Markers; Collaborations; Complex; Computer Analysis; Computer software; Count; Data; Data Analyses; Data Set; Development; Documentation; Education; Electrospray Ionization; Ensure; Future; Goals; Health; Health Benefit; Human; Individual; Informatics; Intention; International; Label; Laboratories; Mainstreaming; Maintenance; Mass Spectrum Analysis; Measurement; Methods; Morphologic artifacts; Outcome; Pattern Recognition; Peptides; Phase; Plasma; Play; Proteins; Proteome; Proteomics; Public Health; Research; Research Activity; Research Personnel; Research Project Grants; Resolution; Role; Sampling; Secure; Security; Serum Proteins; Signal Transduction; Solutions; Source; Standards of Weights and Measures; Statistical Methods; System; Systems Analysis; Techniques; Technology; Testing; Time; Validation; Variant; Work; base; biological research; comparative; cost; file format; insight; instrument; novel; open source; research study; scientific computing; software development; tool; virtual

DESCRIPTION (provided by applicant): A novel computational analysis platform is proposed, which enables collaboration in the discovery and characterization of proteomics biomarkers. The proposed system is a broad academic-commercial collaboration, integrates several prominent proteomics efforts, and marks first major use in proteomics of virtual cluster technology. Consequently, the proposed platform offers new solutions to the security, scalability, and ease of use problems that have hampered proteomics collaborations to date. The proposed software brings together several popular open-source proteomics tools projects, together with experts in the development of scientific computing solutions. The resulting system is validated by applying it to the study the human plasma proteome, in conjunction with the international collaborative HUPO Human Plasma Proteome Project. This research builds on a successful collaboration of experts in proteomics and software development. The impressive research team includes pioneers in proteomics, public health, and bioinformatics. The proposed software platform will be widely applicable to the study of biological mechanisms and measurement of complex protein systems. to public health: The aim of this research is to enable a new proteomics technology that will both lower the cost of proteomics experiments and make the resulting data more biologically relevant. A successful outcome would increase the potential health benefit of a broad array of current and future research. The HUPO Human Plasma Proteome Project is the largest and broadest proteomics collaboration ever attempted. The goals of this project are comprehensive analysis of plasma and serum protein constituents in people, and identification of biological sources of variation within individuals over time, with validation of biomarkers. By working closely with this project, the proposed research has the potential for a substantial positive influence on human health.

描述（由申请人提供）：提出了一种新的计算分析平台，其能够在蛋白质组学生物标志物的发现和表征中进行协作。拟议的系统是一个广泛的学术-商业合作，集成了几个突出的蛋白质组学的努力，并标志着第一次在蛋白质组学的虚拟集群技术的主要用途。因此，所提出的平台提供了新的解决方案的安全性，可扩展性和易用性的问题，阻碍了蛋白质组学的合作。拟议的软件汇集了几个流行的开源蛋白质组学工具项目，以及科学计算解决方案开发方面的专家。与国际合作的HUPO人血浆蛋白质组项目一起，将其应用于人血浆蛋白质组研究，对所得系统进行了验证。这项研究建立在蛋白质组学和软件开发专家的成功合作基础上。令人印象深刻的研究团队包括蛋白质组学，公共卫生和生物信息学的先驱。该软件平台将广泛应用于复杂蛋白质体系的生物学机理研究和测量。公共卫生：这项研究的目的是实现一种新的蛋白质组学技术，既降低蛋白质组学实验的成本，又使所得数据更具生物相关性。一个成功的结果将增加当前和未来广泛研究的潜在健康益处。HUPO人类血浆蛋白质组计划是有史以来最大和最广泛的蛋白质组学合作尝试。该项目的目标是全面分析人的血浆和血清蛋白质成分，并通过生物标志物的验证来识别个体内随时间变化的生物来源。通过与该项目密切合作，拟议的研究有可能对人类健康产生实质性的积极影响。