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使用新型底物融合分选酶试剂将未标记的沉默溶解性标签快速添加到蛋白质中。

Rapid addition of unlabeled silent solubility tags to proteins using a new substrate-fused sortase reagent.

作者信息

Amer Brendan R, Macdonald Ramsay, Jacobitz Alex W, Liauw Brandon, Clubb Robert T

机构信息

Department of Chemistry and Biochemistry, University of California, Los Angeles, 602 Boyer Hall, Los Angeles, CA, 90095, USA.

UCLA-DOE Institute of Genomics and Proteomics, University of California, Los Angeles, 611 Charles Young Drive East, Los Angeles, CA, 90095, USA.

出版信息

J Biomol NMR. 2016 Mar;64(3):197-205. doi: 10.1007/s10858-016-0019-z. Epub 2016 Feb 6.

Abstract

Many proteins can't be studied using solution NMR methods because they have limited solubility. To overcome this problem, recalcitrant proteins can be fused to a more soluble protein that functions as a solubility tag. However, signals arising from the solubility tag hinder data analysis because they increase spectral complexity. We report a new method to rapidly and efficiently add a non-isotopically labeled Small Ubiquitin-like Modifier protein (SUMO) solubility tag to an isotopically labeled protein. The method makes use of a newly developed SUMO-Sortase tagging reagent in which SUMO and the Sortase A (SrtA) enzyme are present within the same polypeptide. The SUMO-Sortase reagent rapidly attaches SUMO to any protein that contains the sequence LPXTG at its C-terminus. It modifies proteins at least 15-times faster than previously described approaches, and does not require active dialysis or centrifugation during the reaction to increase product yields. In addition, silently tagged proteins are readily purified using the well-established SUMO expression and purification system. The utility of the SUMO-Sortase tagging reagent is demonstrated using PhoP and green fluorescent proteins, which are ~90% modified with SUMO at room temperature within four hours. SrtA is widely used as a tool to construct bioconjugates. Significant rate enhancements in these procedures may also be achieved by fusing the sortase enzyme to its nucleophile substrate.

摘要

许多蛋白质由于溶解度有限,无法使用溶液核磁共振方法进行研究。为克服这一问题,难溶性蛋白质可与一种更易溶的蛋白质融合,该蛋白质作为溶解度标签发挥作用。然而,溶解度标签产生的信号会增加光谱复杂性,从而妨碍数据分析。我们报告了一种新方法,可快速有效地将非同位素标记的类泛素小分子修饰蛋白(SUMO)溶解度标签添加到同位素标记的蛋白质上。该方法利用了一种新开发的SUMO-分选酶标记试剂,其中SUMO和分选酶A(SrtA)酶存在于同一多肽中。SUMO-分选酶试剂能迅速将SUMO连接到任何在其C末端含有LPXTG序列的蛋白质上。它修饰蛋白质的速度比之前描述的方法至少快15倍,并且在反应过程中不需要进行主动透析或离心来提高产物产量。此外,使用成熟的SUMO表达和纯化系统可轻松纯化沉默标记的蛋白质。使用PhoP和绿色荧光蛋白证明了SUMO-分选酶标记试剂的实用性,它们在室温下4小时内约90%被SUMO修饰。SrtA被广泛用作构建生物共轭物的工具。通过将分选酶与亲核底物融合,这些过程中的反应速率也可能显著提高。

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本文引用的文献

1
Efficient segmental isotope labeling of multi-domain proteins using Sortase A.
J Biomol NMR. 2015 Sep;63(1):1-8. doi: 10.1007/s10858-015-9981-0. Epub 2015 Aug 30.
2
Solution structure of the PhoP DNA-binding domain from Mycobacterium tuberculosis.
J Biomol NMR. 2015 Sep;63(1):111-7. doi: 10.1007/s10858-015-9965-0. Epub 2015 Jul 25.
3
Sec-secretion and sortase-mediated anchoring of proteins in Gram-positive bacteria.
Biochim Biophys Acta. 2014 Aug;1843(8):1687-97. doi: 10.1016/j.bbamcr.2013.11.009. Epub 2013 Nov 22.
4
Sortase enzymes in Gram-positive bacteria.
Mol Microbiol. 2011 Dec;82(5):1044-59. doi: 10.1111/j.1365-2958.2011.07887.x. Epub 2011 Nov 7.
5
A general strategy for the evolution of bond-forming enzymes using yeast display.
Proc Natl Acad Sci U S A. 2011 Jul 12;108(28):11399-404. doi: 10.1073/pnas.1101046108. Epub 2011 Jun 22.
6
Protein-protein fusion catalyzed by sortase A.
PLoS One. 2011 Apr 6;6(4):e18342. doi: 10.1371/journal.pone.0018342.
7
Observing selected domains in multi-domain proteins via sortase-mediated ligation and NMR spectroscopy.
J Biomol NMR. 2011 Jan;49(1):3-7. doi: 10.1007/s10858-010-9464-2. Epub 2010 Dec 29.
8
9
Enzyme-mediated site-specific antibody-protein modification using a ZZ domain as a linker.
Bioconjug Chem. 2010 Dec 15;21(12):2227-33. doi: 10.1021/bc100206z. Epub 2010 Nov 11.

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