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使用全蛋白质组范围的丝氨酸导向人肽库进行激酶底物分析

Kinase Substrate Profiling Using a Proteome-wide Serine-Oriented Human Peptide Library.

作者信息

Barber Karl W, Miller Chad J, Jun Jay W, Lou Hua Jane, Turk Benjamin E, Rinehart Jesse

机构信息

Department of Cellular & Molecular Physiology , Yale University , New Haven , Connecticut 06520 , United States.

Systems Biology Institute , Yale University , West Haven , Connecticut 06516 , United States.

出版信息

Biochemistry. 2018 Aug 7;57(31):4717-4725. doi: 10.1021/acs.biochem.8b00410. Epub 2018 Jun 19.

Abstract

The human proteome encodes >500 protein kinases and hundreds of thousands of potential phosphorylation sites. However, the identification of kinase-substrate pairs remains an active area of research because the relationships between individual kinases and these phosphorylation sites remain largely unknown. Many techniques have been established to discover kinase substrates but are often technically challenging to perform. Moreover, these methods frequently rely on substrate reagent pools that do not reflect human protein sequences or are biased by human cell line protein expression profiles. Here, we describe a new approach called SERIOHL-KILR (serine-oriented human library-kinase library reactions) to profile kinase substrate specificity and to identify candidate substrates for serine kinases. Using a purified library of >100000 serine-oriented human peptides expressed heterologously in Escherichia coli, we perform in vitro kinase reactions to identify phosphorylated human peptide sequences by liquid chromatography and tandem mass spectrometry. We compare our results for protein kinase A to those of a well-established positional scanning peptide library method, certifying that SERIOHL-KILR can identify the same predominant motif elements as traditional techniques. We then interrogate a small panel of cancer-associated PKCβ mutants using our profiling protocol and observe a shift in substrate specificity likely attributable to the loss of key polar contacts between the kinase and its substrates. Overall, we demonstrate that SERIOHL-KILR can rapidly identify candidate kinase substrates that can be directly mapped to human sequences for pathway analysis. Because this technique can be adapted for various kinase studies, we believe that SERIOHL-KILR will have many new victims in the future.

摘要

人类蛋白质组编码超过500种蛋白激酶和数十万潜在的磷酸化位点。然而,激酶-底物对的鉴定仍然是一个活跃的研究领域,因为单个激酶与这些磷酸化位点之间的关系在很大程度上仍然未知。已经建立了许多技术来发现激酶底物,但在技术上往往具有挑战性。此外,这些方法通常依赖于不能反映人类蛋白质序列或受人类细胞系蛋白质表达谱影响而有偏差的底物试剂库。在这里,我们描述了一种名为SERIOHL-KILR(丝氨酸导向的人类文库-激酶文库反应)的新方法,用于分析激酶底物特异性并鉴定丝氨酸激酶的候选底物。使用在大肠杆菌中异源表达的超过100000种丝氨酸导向的人类肽的纯化文库,我们进行体外激酶反应,通过液相色谱和串联质谱法鉴定磷酸化的人类肽序列。我们将蛋白激酶A的结果与一种成熟的位置扫描肽文库方法的结果进行比较,证明SERIOHL-KILR可以识别与传统技术相同的主要基序元件。然后,我们使用我们的分析方案研究一小部分与癌症相关的PKCβ突变体,并观察到底物特异性的转变,这可能归因于激酶与其底物之间关键极性接触的丧失。总体而言,我们证明SERIOHL-KILR可以快速鉴定可直接映射到人类序列以进行通路分析的候选激酶底物。由于这种技术可以适用于各种激酶研究,我们相信SERIOHL-KILR在未来将有许多新的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaab/6644682/c0f18da8c70f/nihms-1035477-f0002.jpg

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