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具有新活性的环二肽合酶的定向进化:无标记质谱筛选

Directed evolution of a cyclodipeptide synthase with new activities label-free mass spectrometric screening.

作者信息

Zhang Songya, Zhu Jing, Fan Shuai, Xie Wenhao, Yang Zhaoyong, Si Tong

机构信息

CAS Key Lib Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China.

The Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 1000050 China.

出版信息

Chem Sci. 2022 Jun 2;13(25):7581-7586. doi: 10.1039/d2sc01637k. eCollection 2022 Jun 29.

Abstract

Directed evolution is a powerful approach to engineer enzymes iterative creation and screening of variant libraries. However, assay development for high-throughput mutant screening remains challenging, particularly for new catalytic activities. Mass spectrometry (MS) analysis is label-free and well suited for untargeted discovery of new enzyme products but is traditionally limited by slow speed. Here we report an automated workflow for directed evolution of new enzymatic activities high-throughput library creation and label-free MS screening. For a proof of concept, we chose to engineer a cyclodipeptide synthase (CDPS) that synthesizes diketopiperazine (DKP) compounds with therapeutic potential. In recombinant , site-saturation mutagenesis (SSM) and error-prone PCR (epPCR) libraries expressing CDPS mutants were automatically created and cultivated on an integrated work cell. Culture supernatants were then robotically processed for matrix-assisted laser desorption/ionization time-of-flight (MALDI-ToF) MS analysis at a rate of 5 s per sample. The resulting mass spectral data were processed custom computational algorithms, which performed a multivariant analysis of 108 theoretical mass-to-charge (/) values of 190 possible DKP molecules within a mass window of 115-373 Da. An F186L CDPS mutant was isolated to produce cyclo(l-Phe-l-Val), which is undetectable in the product profile of the wild-type enzyme. This robotic, label-free MS screening approach may be generally applicable to engineering other enzymes with new activities in high throughput.

摘要

定向进化是一种通过迭代创建和筛选变体文库来改造酶的强大方法。然而,用于高通量突变体筛选的检测方法开发仍然具有挑战性,特别是对于新的催化活性。质谱(MS)分析无需标记,非常适合非靶向发现新的酶产物,但传统上受限于速度较慢。在这里,我们报告了一种用于新酶活性定向进化的自动化工作流程——高通量文库创建和无标记MS筛选。为了进行概念验证,我们选择改造一种环二肽合酶(CDPS),该酶可合成具有治疗潜力的二酮哌嗪(DKP)化合物。在重组体中,表达CDPS突变体的位点饱和诱变(SSM)和易错PCR(epPCR)文库在集成工作单元上自动创建并培养。然后,以每个样品5秒的速度对培养上清液进行机器人处理,用于基质辅助激光解吸/电离飞行时间(MALDI-ToF)MS分析。所得质谱数据使用定制计算算法进行处理,该算法在115 - 373 Da的质量窗口内对190种可能的DKP分子的108个理论质荷比(/)值进行多变量分析。分离出一种F186L CDPS突变体,以产生环(l-苯丙氨酸-l-缬氨酸),这在野生型酶的产物谱中是无法检测到的。这种机器人化的无标记MS筛选方法可能普遍适用于高通量工程改造其他具有新活性的酶。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bec/9241961/d61c05ada643/d2sc01637k-f1.jpg

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