Chan Elaine W S, Chattopadhaya Souvik, Panicker Resmi C, Huang Xuan, Yao Shao Q
Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Republic of Singapore.
J Am Chem Soc. 2004 Nov 10;126(44):14435-46. doi: 10.1021/ja047044i.
The denaturing aspect of current activity-based protein profiling strategies limits the classes of chemical probes to those which irreversibly and covalently modify their targeting enzymes. Herein, we present a complimentary, affinity-based labeling approach to profile enzymes which do not possess covalently bound substrate intermediates. Using a variety of enzymes belonging to the class of metalloproteases, the feasibility of the approach was successfully demonstrated in several proof-of-concept experiments. The design template of affinity-based probes targeting metalloproteases consists of a peptidyl hydroxamate zinc-binding group (ZBG), a fluorescent reporter tag, and a photolabile diazirine group. Photolysis of the photolabile unit in the probe effectively generates a covalent, irreversible linkage between the probe and the target enzyme, rendering the enzyme distinguishable from unlabeled proteins upon separation on a SDS-PAGE gel. A variety of labeling studies were carried out to confirm that the affinity-based approach selectively labeled metalloproteases in the presence of a large excess of other proteins and that the success of the labeling reaction depends intimately upon the catalytic activity of the enzyme. Addition of competitive inhibitors proportionally diminished the extent of enzyme labeling, making the approach useful for potential in situ screening of metalloprotease inhibitors. Using different probes with varying P(1) amino acids, we were able to generate unique "fingerprint" profiles of enzymes which may be used to determine their substrate specificities. Finally, by testing against a panel of yeast metalloproteases, we demonstrated that the affinity-based approach may be used for the large-scale profiling of metalloproteases in future proteomic experiments.
当前基于活性的蛋白质谱分析策略的变性特性,将化学探针的类别限制为那些能不可逆地和共价修饰其靶向酶的探针。在此,我们提出一种互补的、基于亲和力的标记方法,用于分析那些不具有共价结合底物中间体的酶。使用多种属于金属蛋白酶类别的酶,该方法的可行性在几个概念验证实验中得到了成功证明。靶向金属蛋白酶的基于亲和力的探针的设计模板由一个肽基异羟肟酸锌结合基团(ZBG)、一个荧光报告标签和一个光不稳定的重氮基团组成。探针中光不稳定单元的光解有效地在探针与靶酶之间产生共价、不可逆的连接,使得在SDS-PAGE凝胶上分离时,该酶可与未标记的蛋白质区分开来。进行了各种标记研究,以确认基于亲和力的方法在存在大量其他蛋白质的情况下能选择性地标记金属蛋白酶,并且标记反应的成功密切依赖于酶的催化活性。加入竞争性抑制剂会按比例降低酶标记的程度,这使得该方法可用于金属蛋白酶抑制剂的潜在原位筛选。使用具有不同P(1)氨基酸的不同探针,我们能够生成酶的独特“指纹”图谱,可用于确定它们的底物特异性。最后,通过对一组酵母金属蛋白酶进行测试,我们证明基于亲和力的方法可用于未来蛋白质组学实验中金属蛋白酶的大规模分析。