通过翻译后修饰库观察寄生虫生物学的关键调控因子。

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Proteomics Pub Date : 2024-12-17 DOI:10.1002/pmic.202400120
Naiwen Zhang, Ning Jiang, Qijun Chen
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引用次数: 0

摘要

寄生虫是人类和动物发病和死亡的主要原因,在世界范围内造成巨大的社会经济负担。控制寄生虫病已成为实现“同一个健康”的关键问题之一。大多数寄生虫具有复杂的生命周期,表现出渐进的发育阶段、形态和宿主转换,这些都受到包括蛋白质翻译后修饰(PTMs)在内的各种调节机制的控制。ptm已成为寄生虫调节其毒力、发育转变和环境适应的关键机制。ptm是酶介导的化学基团的添加或移除,动态调节蛋白质的稳定性和功能,并赋予新的特性,在各种生物过程和细胞功能中发挥重要作用。本文综述了寄生虫如何利用各种PTMs调控其复杂的生命,重点介绍了PTMs在寄生虫生物学和发病机制中的生物学作用。
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Key Regulators of Parasite Biology Viewed Through a Post-Translational Modification Repertoire.

Parasites are the leading causes of morbidity and mortality in both humans and animals, imposing substantial socioeconomic burdens worldwide. Controlling parasitic diseases has become one of the key issues in achieving "One Health". Most parasites have sophisticated life cycles exhibiting progressive developmental stages, morphologies, and host-switching, which are controlled by various regulatory machineries including protein post-translational modifications (PTMs). PTMs have emerged as a key mechanism by which parasites modulate their virulence, developmental transitions, and environmental adaptations. PTMs are enzyme-mediated additions or removals of chemical groups that dynamically regulate the stability and functions of proteins and confer novel properties, playing vital roles in a variety of biological processes and cellular functions. In this review, we circumscribe how parasites utilize various PTMs to regulate their intricate lives, with a focus on the biological role of PTMs in parasite biology and pathogenesis.

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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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