超快蛋白质组学

IF 2.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ivan I. Fedorov, Sergey A. Protasov, Irina A. Tarasova, Mikhail V. Gorshkov
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引用次数: 0

摘要

现阶段,生物学、医学、新药开发、群体筛选或个性化治疗领域的蛋白质组学研究需要在合理的实验时间内分析大量样本。直到最近,蛋白质组学中的质谱测量在鉴定和量化细胞蛋白质组成方面仍具有独特性,但通量低,分析一个样品需要许多小时。这与生物系统在整个细胞蛋白质组水平上受内外因素影响而发生的动态变化相矛盾。因此,低速的全蛋白质组分析已成为限制功能蛋白质组学发展的主要因素,因为在功能蛋白质组学中,不仅需要在各种条件下注释细胞内过程,还需要在很长一段时间内注释细胞内过程。由于组织细胞或肿瘤(即使是同一类型的组织细胞或肿瘤)具有极大的异质性,因此需要在单个细胞的水平上分析生物系统。这些研究需要获得数以万计甚至数十万计的单个细胞的分子特征,包括它们的整个蛋白质组图谱。提供高分辨率和质量测量精度的质谱技术、预测色谱法、通过离子迁移率分离肽的新方法以及基于人工智能算法的蛋白质组数据处理技术的发展,为大幅(甚至彻底)提高全蛋白质组分析的通量开辟了道路,并导致了超快蛋白质组这一新理念的实现。仅在过去几年中完成的工作就证明了每天几百个样本、几千个蛋白质深度的全蛋白质组分析吞吐量,这在三四年前是不可想象的。本综述探讨了这些发展的背景,以及对整个蛋白质组进行超快分析的现代方法和途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultrafast Proteomics

Ultrafast Proteomics

Current stage of proteomic research in the field of biology, medicine, development of new drugs, population screening, or personalized approaches to therapy dictates the need to analyze large sets of samples within the reasonable experimental time. Until recently, mass spectrometry measurements in proteomics were characterized as unique in identifying and quantifying cellular protein composition, but low throughput, requiring many hours to analyze a single sample. This was in conflict with the dynamics of changes in biological systems at the whole cellular proteome level upon the influence of external and internal factors. Thus, low speed of the whole proteome analysis has become the main factor limiting developments in functional proteomics, where it is necessary to annotate intracellular processes not only in a wide range of conditions, but also over a long period of time. Enormous level of heterogeneity of tissue cells or tumors, even of the same type, dictates the need to analyze biological systems at the level of individual cells. These studies involve obtaining molecular characteristics for tens, if not hundreds of thousands of individual cells, including their whole proteome profiles. Development of mass spectrometry technologies providing high resolution and mass measurement accuracy, predictive chromatography, new methods for peptide separation by ion mobility and processing of proteomic data based on artificial intelligence algorithms have opened a way for significant, if not radical, increase in the throughput of whole proteome analysis and led to implementation of the novel concept of ultrafast proteomics. Work done just in the last few years has demonstrated the proteome-wide analysis throughput of several hundred samples per day at a depth of several thousand proteins, levels unimaginable three or four years ago. The review examines background of these developments, as well as modern methods and approaches that implement ultrafast analysis of the entire proteome.

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来源期刊
Biochemistry (Moscow)
Biochemistry (Moscow) 生物-生化与分子生物学
CiteScore
4.70
自引率
3.60%
发文量
139
审稿时长
2 months
期刊介绍: Biochemistry (Moscow) is the journal that includes research papers in all fields of biochemistry as well as biochemical aspects of molecular biology, bioorganic chemistry, microbiology, immunology, physiology, and biomedical sciences. Coverage also extends to new experimental methods in biochemistry, theoretical contributions of biochemical importance, reviews of contemporary biochemical topics, and mini-reviews (News in Biochemistry).
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