Personalized human protein interactomes

个性化人类蛋白质相互作用组

• 批准号: 440160-2013
• 负责人: Dehne, Frank
• 金额: $ 0.95万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments - Category 1 (<$150,000)
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507840
• 关键词: Personalized; human; protein; interactomes

Protein-protein interactions (PPIs) are critical to the biological functioning of a cell. The Protein Interaction Prediction Engine (PIPE) algorithm developed by our group is currently the most sensitive genome sequence based method for PPI prediction. High-throughput sequencing technologies will soon enable the determination of each person's unique genome sequence. Since protein interactions play a critical role in disease and the functioning of drugs, determining the implications of an individual's sequence variants on their personal proteome will be a significant step towards achieving truly personalized medicine. We propose to develop a new Personalized Interactome Pipeline (PIPE-PIP) algorithm and software that will be able to determine an individual's complete proteome given their genotype (genome), focusing on the set of sequence variants specific to that individual's genome. We plan to use PIPE-PIP to build the proteomes for 1000 individual genomes from the 1000 Genomes Project. We will then develop algorithms and software to compare those proteomes and correlate proteome changes (possible cause for disease) to sequence variations in the genomes.

蛋白质-蛋白质相互作用（PPI）对细胞的生物功能至关重要。本课题组开发的蛋白质相互作用预测引擎（PIPE）算法是目前最灵敏的基于基因组序列的PPI预测方法。高通量测序技术将很快能够确定每个人的独特基因组序列。由于蛋白质相互作用在疾病和药物功能中起着关键作用，因此确定个体序列变异对其个人蛋白质组的影响将是实现真正个性化医疗的重要一步。我们建议开发一种新的个性化交互组管道（PIPE-PIP）算法和软件，该算法和软件将能够根据基因型（基因组）确定个体的完整蛋白质组，重点关注该个体基因组特有的序列变体集。我们计划使用PIPE-PIP来构建来自1000个基因组计划的1000个个体基因组的蛋白质组。然后，我们将开发算法和软件来比较这些蛋白质组，并将蛋白质组变化（可能的疾病原因）与基因组中的序列变异相关联。