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利用遗传密码扩展和搜索引擎OpenUaa鉴定蛋白质直接相互作用组

Identification of Protein Direct Interactome with Genetic Code Expansion and Search Engine OpenUaa.

作者信息

Liu Chao, Wu Ting, Shu Xin, Li Shang-Tong, Wang Daniel R, Wang Nanxi, Zhou Rong, Yang Hao, Jiang Hong, Hendriks Ivo A, Gong Pengyun, Zhang Long, Nielsen Michael L, Li Kui, Wang Lei, Yang Bing

机构信息

Beijing Advanced Innovation Center for Big Data-based Precision Medicine, School of Medicine and Engineering, Beihang University and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, 100191, China.

MOE Laboratory of Biosystem Homeostasis and Protection and Life Sciences Institute, Zhejiang University, Hangzhou, 310058, China.

出版信息

Adv Biol (Weinh). 2021 Mar;5(3):e2000308. doi: 10.1002/adbi.202000308. Epub 2021 Feb 8.

Abstract

Protein crosslinks occur endogenously such as modifications by ubiquitin-like proteins for signaling, or exogenously through genetically encoded chemical crosslinkers (GECX) for studying elusive protein-protein interactions. However, it remains challenging to identify these protein crosslinks efficiently at the proteomic scale. Herein, software OpenUaa is developed for identifying protein crosslinks generated by genetically encoded unnatural amino acids and endogenous protein conjugation. OpenUaa features inclusive and open search capability, dramatically improving identification sensitivity and coverage. Integrating GECX with OpenUaa, the direct interactome of thioredoxin is identified in Escherichia coli cells, yielding 289 crosslinked peptides and corresponding to 205 direct binding protein of thioredoxin. These identified direct binders provide evidence for thioredoxin's regulation of redox state and mitochondria energy metabolism. When identifying endogenous conjugation of small ubiquitin-like modifier (SUMO), OpenUaa also markedly improves coverage of SUMOylated peptides by ≈92%, revealing new SUMO targets. GECX-OpenUaa will enable efficient identification of direct interactomes of various proteins in live cells.

摘要

蛋白质交联在内源性情况下会发生,比如泛素样蛋白进行信号传导修饰时;在外源性情况下,可通过基因编码化学交联剂(GECX)来研究难以捉摸的蛋白质 - 蛋白质相互作用。然而,在蛋白质组学规模上有效识别这些蛋白质交联仍然具有挑战性。在此,开发了软件OpenUaa用于识别由基因编码的非天然氨基酸和内源性蛋白质缀合产生的蛋白质交联。OpenUaa具有包容性和开放性搜索能力,显著提高了识别灵敏度和覆盖范围。将GECX与OpenUaa相结合,在大肠杆菌细胞中鉴定出硫氧还蛋白的直接相互作用组,产生了289个交联肽段,对应于205个硫氧还蛋白的直接结合蛋白。这些鉴定出的直接结合蛋白为硫氧还蛋白对氧化还原状态和线粒体能量代谢的调节提供了证据。在识别小泛素样修饰物(SUMO)的内源性缀合时,OpenUaa还将SUMO化肽段的覆盖范围显著提高了约92%,揭示了新的SUMO靶标。GECX - OpenUaa将能够有效识别活细胞中各种蛋白质的直接相互作用组。

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