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基于 FDA 批准药物库的化学蛋白质组学策略的评估。

Evaluation of a Pooling Chemoproteomics Strategy with an FDA-Approved Drug Library.

机构信息

Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States.

Chemical Biology & Therapeutics Department, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States.

出版信息

Biochemistry. 2023 Feb 7;62(3):624-632. doi: 10.1021/acs.biochem.2c00256. Epub 2022 Aug 15.

Abstract

Chemoproteomics is a key platform for characterizing the mode of action for compounds, especially for targeted protein degraders such as proteolysis targeting chimeras (PROTACs) and molecular glues. With deep proteome coverage, multiplexed tandem mass tag-mass spectrometry (TMT-MS) can tackle up to 18 samples in a single experiment. Here, we present a pooling strategy for further enhancing the throughput and apply the strategy to an FDA-approved drug library (95 best-in-class compounds). The TMT-MS-based pooling strategy was evaluated in the following steps. First, we demonstrated the capability of TMT-MS by analyzing more than 15 000 unique proteins (> 12 000 gene products) in HEK293 cells treated with five PROTACs (two BRD/BET degraders and three degraders for FAK, ALK, and BTK kinases). We then introduced a rationalized pooling strategy to separate structurally similar compounds in different pools and identified the proteomic response to 14 pools from the drug library. Finally, we validated the proteomic response from one pool by reprofiling the cells via treatment with individual drugs with sufficient replicates. Interestingly, numerous proteins were found to change upon drug treatment, including AMD1, ODC1, PRKX, PRKY, EXO1, AEN, and LRRC58 with 7-hydroxystaurosporine; C6orf64, HMGCR, and RRM2 with Sorafenib; SYS1 and ALAS1 with Venetoclax; and ATF3, CLK1, and CLK4 with Palbocilib. Thus, pooling chemoproteomics screening provides an efficient method for dissecting the molecular targets of compound libraries.

摘要

化学生物学是一种用于描述化合物作用模式的关键平台,尤其适用于靶向蛋白降解剂,如蛋白水解靶向嵌合体(PROTAC)和分子胶。通过深度蛋白质组覆盖,多重串联质量标签质谱(TMT-MS)可以在单个实验中处理多达 18 个样本。在这里,我们提出了一种用于进一步提高通量的池化策略,并将该策略应用于美国食品和药物管理局批准的药物库(95 种最佳类别化合物)。TMT-MS 基于池化策略在以下步骤中进行评估。首先,我们通过分析用五种 PROTAC(两种 BRD/BET 降解剂和三种降解剂用于 FAK、ALK 和 BTK 激酶)处理的 HEK293 细胞中的超过 15000 个独特蛋白质(>12000 个基因产物)来证明 TMT-MS 的能力。然后,我们引入了一种合理化的池化策略,以在不同的池中将结构相似的化合物分开,并鉴定来自药物库的 14 个池的蛋白质组反应。最后,我们通过用足够的重复用单个药物重新处理细胞来验证一个池的蛋白质组反应。有趣的是,许多蛋白质在药物处理后发生变化,包括用 7-羟基星形孢菌素处理时的 AMD1、ODC1、PRKX、PRKY、EXO1、AEN 和 LRRC58;用索拉非尼处理时的 C6orf64、HMGCR 和 RRM2;用 Venetoclax 处理时的 SYS1 和 ALAS1;以及用 Palbocilib 处理时的 ATF3、CLK1 和 CLK4。因此,池化化学生物学筛选为剖析化合物库的分子靶标提供了一种有效的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb79/9905291/c1c10a97b65c/nihms-1854336-f0001.jpg

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本文引用的文献

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