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磷酸酶和激酶底物特异性分析的Pooled 合成肽和质谱技术

Phosphatase and Kinase Substrate Specificity Profiling with Pooled Synthetic Peptides and Mass Spectrometry.

机构信息

Department of Biochemistry, Purdue University, West Lafayette, IN, USA.

School of Information Studies, Purdue University, West Lafayette, IN, USA.

出版信息

Methods Mol Biol. 2021;2329:51-70. doi: 10.1007/978-1-0716-1538-6_5.

Abstract

Reversible phosphorylation is a pervasive regulatory event in cellular physiology controlled by reciprocal actions of protein kinases and phosphatases. Determining the inherent substrate specificity of kinases and phosphatases is essential for understanding their cellular roles. Synthetic peptides have long served as substrate proxies for defining intrinsic kinase and phosphatase specificities. Here, we describe a high throughput protocol to simultaneously measure specificity constants (k/K) of many synthetic peptide substrates in a single pool using label-free quantitative mass spectrometry. The generation of specificity constants from a single pooled reaction provides a rigorous and rapid comparison of substrate variants to help define an enzyme's specificity. Equally applicable to kinases and phosphatases, as well as other enzyme classes, the protocol consists of three general steps: (1) reaction of enzyme with pooled peptide substrates, each ideally with a unique mass and at concentrations well below K, (2) analysis of reaction products using liquid chromatography-coupled mass spectrometry (LC-MS), and (3) automated extraction and integration of elution peaks for each substrate/product pair. We incorporate an ionization correction strategy allowing direct calculation of reaction progress, and subsequently k/K, from substrate and product peak areas in a single sample, obviating the need for stable isotope labeling. Peptide consumption is minimal, and high peptide purity and accurate concentrations are not required. Access to a high-resolution LC-MS system is the only nonstandard equipment need. We present an analysis pipeline consisting entirely of established open-source software tools, and demonstrate proof of principle with the highly selective cell cycle phosphatase Cdc14 from Saccharomyces cerevisiae.

摘要

可逆磷酸化是细胞生理学中一种普遍的调节事件,由蛋白激酶和磷酸酶的相互作用控制。确定激酶和磷酸酶的固有底物特异性对于理解它们的细胞作用至关重要。合成肽长期以来一直作为确定内在激酶和磷酸酶特异性的底物替代物。在这里,我们描述了一种高通量方案,使用无标记定量质谱法在单个池中同时测量许多合成肽底物的特异性常数 (k/K)。从单个池反应中生成特异性常数提供了对底物变体的严格快速比较,有助于定义酶的特异性。该方案同样适用于激酶和磷酸酶以及其他酶类,由三个通用步骤组成:(1)酶与池中的肽底物反应,每个底物理想情况下都具有独特的质量,且浓度远低于 K;(2)使用液相色谱-质谱联用 (LC-MS) 分析反应产物;(3)自动提取和整合每个底物/产物对的洗脱峰。我们采用了一种离子化校正策略,允许从单个样品中的底物和产物峰面积直接计算反应进度,从而随后计算 k/K,而无需稳定同位素标记。肽的消耗最小,且不需要高肽纯度和准确浓度。仅需要访问高分辨率 LC-MS 系统即可。我们提出了一个完全由成熟的开源软件工具组成的分析流程,并通过来自酿酒酵母的高度选择性细胞周期磷酸酶 Cdc14 证明了原理。

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