自上而下的蛋白质组学:为什么和何时?

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-04-27 DOI:10.1002/pmic.202400338
Philipp T Kaulich, Andreas Tholey
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引用次数: 0

摘要

在转录和翻译的各个层面上的多种生物过程可以导致大量不同蛋白质物种(即蛋白质形态)的形成,其数量远远超过基因组中编码的序列。由于大量的蛋白质分子以这种方式形成,跨越了巨大范围的不同的物理化学性质,变形是所有生物过程的功能驱动因素,创造了对强大的分析方法来破译这种生命语言的需求。虽然自下而上的蛋白质组学已经成为最广泛使用的方法,具有高灵敏度、分析深度和吞吐量等特点,但在识别、定量和表征蛋白质形态方面存在局限性。特别是,主要的瓶颈是将肽水平的信息分配给原始的蛋白质形式。相比之下,自上而下的蛋白质组学(TDP)旨在直接分析完整的蛋白质形态。尽管存在许多技术挑战,但TDP社区已经建立了许多协议,可以在任何蛋白质组学实验室轻松实施。在这种观点下,我们比较了这两种方法,认为嵌入TDP实验是值得的,并展示了TDP可以成功实施的研究领域,以执行综合多层次蛋白质组学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Top-Down Proteomics: Why and When?

Manifold biological processes at all levels of transcription and translation can lead to the formation of a high number of different protein species (i.e., proteoforms), which outnumber the sequences encoded in the genome by far. Due to the large number of protein molecules formed in this way, which span an enormous range of different physicochemical properties, proteoforms are the functional drivers of all biological processes, creating the need for powerful analytical approaches to decipher this language of life. While bottom-up proteomics has become the most widely used approach, providing features such as high sensitivity, depth of analysis, and throughput, it has its limitations when it comes to identifying, quantifying, and characterizing proteoforms. In particular, the major bottleneck is to assign peptide-level information to the original proteoforms. In contrast, top-down proteomics (TDP) targets the direct analysis of intact proteoforms. Despite being characterized by a number of technological challenges, the TDP community has established numerous protocols that allow easy implementation in any proteomics laboratory. In this viewpoint, we compare both approaches, argue that it is worth embedding TDP experiments, and show fields of research in which TDP can be successfully implemented to perform integrative multi-level proteoformics.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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