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）：提出了一个新颖的计算分析平台，该平台可以在蛋白质组学生物标志物的发现和表征方面进行协作。拟议的系统是一项广泛的学术商业协作，整合了几种著名的蛋白质组学工作，并标志着虚拟集群技术蛋白质组学中的首次主要用途。因此，提出的平台为迄今为止妨碍了蛋白质组学协作的安全性，可扩展性和易用性问题提供了新的解决方案。拟议的软件将一些流行的开源蛋白质组学工具项目与科学计算解决方案的开发专家一起汇总在一起。通过将其应用于人类血浆蛋白质组的研究与国际协作Hupo Hupo Human Plasma蛋白质组项目一起，通过将其应用于人类血浆蛋白质组来验证。这项研究基于蛋白质组学和软件开发专家的成功合作。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。提出的软件平台将广泛适用于研究生物学机制和复杂蛋白质系统的测量。对公共卫生：这项研究的目的是启用一种新的蛋白质组学技术，该技术既可以降低蛋白质组学实验的成本，又可以使所得数据在生物学上更相关。成功的结果将增加广泛的当前和未来研究的潜在健康益处。 HUPO人血浆蛋白质组项目是有史以来最大，最广泛的蛋白质组学合作。该项目的目标是对人群中血浆和血清蛋白成分的全面分析，并通过生物标志物的验证来确定个体内部变异的生物学来源。通过与该项目紧密合作，拟议的研究有可能对人类健康产生重大积极影响。