Enhanced Sensitivity and Quantitative Precision for Single Cell Proteomics

增强单细胞蛋白质组学的灵敏度和定量精度

• 批准号: 10710172
• 负责人: Samuel H Payne
• 金额: $ 30.04万
• 依托单位: BRIGHAM YOUNG UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-27 至 2026-05-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10710172
• 关键词: Algorithms; Atlases; Benchmarking; Biological Process; Categories; Cell physiology; Cells; Characteristics; Complex; Computer software; Coupled; Data; Dedications; Detection; Environment; Feedback; Goals; Heterogeneity; Individual; Ions; Label; Laboratories; Libraries; Life; Link; Mass Spectrum Analysis; Metabolic; Nature; Neurons; Noise; Peptides; Performance; Preparation; Proteins; Proteome; Proteomics; Proxy; RNA; Research; Sampling; Signal Transduction; Software Tools; Spinal Cord; System; Technology; Tissues; Transcript; Work; cell type; computational atlas; computerized tools; cost; data acquisition; data archive; design; expectation; improved; instrumentation; mass spectrometer; novel; single cell analysis; single-cell RNA sequencing; software development; supervised learning; transfer learning

Single cell proteomics (SCP) is rapidly emerging and can quantify > 1000 proteins per cell. Significant advances in instrumentation and sample preparation are making SCP more broadly accessible. Yet technical advances in data acquisition have not been paired with advances to computational tools. Algorithms for proteomics were designed and optimized on data from bulk proteomics, and are ill-suited for SCP data. Our preliminary research shows that data from SCP lack many features that are critical for current proteomics algorithms. We will dramatically improve accuracy and coverage of the single cell proteome through creation of the first-ever dedicated SCP search software. This will be coupled with an initiative to improve SCP peptide and protein quantification. These algorithmic improvements will be informed from a large corpus of SCP data, gathered and centralized into the first SCP data archive.

单细胞蛋白质组学（Single cell proteomics， SCP）正在迅速兴起，每个细胞可以量化1000个蛋白质。