E. coli “Stablelabel” S30 lysate for optimized cell-free NMR sample preparation

IF 1.3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular NMR Pub Date : 2023-06-13 DOI:10.1007/s10858-023-00417-4
Roman Levin, Frank Löhr, Betül Karakoc, Roman Lichtenecker, Volker Dötsch, Frank Bernhard
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Abstract

Cell-free (CF) synthesis with highly productive E. coli lysates is a convenient method to produce labeled proteins for NMR studies. Despite reduced metabolic activity in CF lysates, a certain scrambling of supplied isotope labels is still notable. Most problematic are conversions of 15N labels of the amino acids L-Asp, L-Asn, L-Gln, L-Glu and L-Ala, resulting in ambiguous NMR signals as well as in label dilution. Specific inhibitor cocktails suppress most undesired conversion reactions, while limited availability and potential side effects on CF system productivity need to be considered. As alternative route to address NMR label conversion in CF systems, we describe the generation of optimized E. coli lysates with reduced amino acid scrambling activity. Our strategy is based on the proteome blueprint of standardized CF S30 lysates of the E. coli strain A19. Identified lysate enzymes with suspected amino acid scrambling activity were eliminated by engineering corresponding single and cumulative chromosomal mutations in A19. CF lysates prepared from the mutants were analyzed for their CF protein synthesis efficiency and for residual scrambling activity. The A19 derivative “Stablelabel” containing the cumulative mutations asnA, ansA/B, glnA, aspC and ilvE yielded the most useful CF S30 lysates. We demonstrate the optimized NMR spectral complexity of selectively labeled proteins CF synthesized in “Stablelabel” lysates. By taking advantage of ilvE deletion in "Stablelabel", we further exemplify a new strategy for methyl group specific labeling of membrane proteins with the proton pump proteorhodopsin.

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大肠杆菌“Stablelabel”S30裂解物用于优化的无细胞核磁共振样品制备
利用高效大肠杆菌裂解物进行无细胞(CF)合成是制备用于核磁共振研究的标记蛋白的一种方便方法。尽管CF裂解物的代谢活性降低,但提供的同位素标签仍然存在一定的混乱。大多数问题是氨基酸L-Asp、L-Asn、L-Gln、L-Glu和L-Ala的15N标签转换,导致核磁共振信号不明确以及标签稀释。特定的抑制剂鸡尾酒抑制了大多数不希望的转化反应,同时需要考虑有限的可用性和对CF系统生产力的潜在副作用。作为解决CF系统中核磁共振标签转换的替代途径,我们描述了具有降低氨基酸混乱活性的优化大肠杆菌裂解物的生成。我们的策略是基于大肠杆菌菌株A19的标准化CF S30裂解物的蛋白质组蓝图。鉴定出的具有氨基酸乱序活性的裂解酶通过相应的单染色体和累积染色体突变在A19中被消除。分析了从突变体中制备的CF裂解物的CF蛋白合成效率和剩余的置乱活性。含有累积突变asnA、ansA/B、glnA、aspC和ilvE的A19衍生物“Stablelabel”产生了最有用的CF S30裂解物。我们展示了在“Stablelabel”裂解物中合成的选择性标记蛋白CF的优化NMR光谱复杂性。通过利用“Stablelabel”中的ilvE缺失,我们进一步举例说明了一种利用质子泵蛋白紫质对膜蛋白进行甲基特异性标记的新策略。
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来源期刊
Journal of Biomolecular NMR
Journal of Biomolecular NMR 生物-光谱学
CiteScore
6.00
自引率
3.70%
发文量
19
审稿时长
6-12 weeks
期刊介绍: The Journal of Biomolecular NMR provides a forum for publishing research on technical developments and innovative applications of nuclear magnetic resonance spectroscopy for the study of structure and dynamic properties of biopolymers in solution, liquid crystals, solids and mixed environments, e.g., attached to membranes. This may include: Three-dimensional structure determination of biological macromolecules (polypeptides/proteins, DNA, RNA, oligosaccharides) by NMR. New NMR techniques for studies of biological macromolecules. Novel approaches to computer-aided automated analysis of multidimensional NMR spectra. Computational methods for the structural interpretation of NMR data, including structure refinement. Comparisons of structures determined by NMR with those obtained by other methods, e.g. by diffraction techniques with protein single crystals. New techniques of sample preparation for NMR experiments (biosynthetic and chemical methods for isotope labeling, preparation of nutrients for biosynthetic isotope labeling, etc.). An NMR characterization of the products must be included.
期刊最新文献
Perspective: on the importance of extensive, high-quality and reliable deposition of biomolecular NMR data in the age of artificial intelligence. 19F NMR relaxation of buried tryptophan side chains suggest anisotropic rotational diffusion of the protein RfaH. Pitfalls in measurements of R1 relaxation rates of protein backbone 15N nuclei. Towards cost-effective side-chain isotope labelling of proteins expressed in human cells. Optimising in-cell NMR acquisition for nucleic acids.
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