Molecular Medicine, Department of Genetics and Pathology, Uppsala University, Rudbeck Laboratory, Dag Hammarskjölds Väg 20, S-751 85 Uppsala, Sweden.
Mol Cell Proteomics. 2010 Jan;9(1):178-83. doi: 10.1074/mcp.M900331-MCP200. Epub 2009 Oct 27.
The cost of developing new drugs is a major obstacle for pharmaceutical companies and academia with many drugs identified in the drug discovery process failing approval for clinical use due to lack of intended effect or because of severe side effects. Since the early 1990 s, high throughput screening of drug compounds has increased enormously in capacity but has not resulted in a higher success rate of the identified drugs. Thus, there is a need for methods that can identify biologically relevant compounds and more accurately predict in vivo effects early in the drug discovery process. To address this, we developed a proximity ligation-based assay for high content screening of drug effects on signaling pathways. As a proof of concept, we used the assay to screen through a library of previously identified kinase inhibitors, including six clinically used tyrosine kinase inhibitors, to identify compounds that inhibited the platelet-derived growth factor (PDGF) receptor beta signaling pathway in stimulated primary human fibroblasts. Thirteen of the 80 compounds were identified as hits, and the dose responses of these compounds were measured. The assay exhibited a very high Z' factor (0.71) and signal to noise ratio (11.7), demonstrating excellent ability to identify compounds interfering with the specific signaling event. A comparison with regular immunofluorescence detection of phosphorylated PDGF receptor demonstrated a far superior ability by the in situ proximity ligation assay to reveal inhibition of receptor phosphorylation. In addition, inhibitor-induced perturbation of protein-protein interactions of the PDGF signaling pathway could be quantified, further demonstrating the usefulness of the assay in drug discovery.
开发新药的成本是制药公司和学术界的主要障碍,许多在药物发现过程中被确定的药物由于缺乏预期效果或由于严重的副作用而未能获得临床使用批准。自 20 世纪 90 年代初以来,药物化合物的高通量筛选在容量上有了极大的增加,但并没有提高已确定药物的成功率。因此,需要有方法可以识别具有生物学相关性的化合物,并在药物发现过程的早期更准确地预测体内效应。为了解决这个问题,我们开发了一种基于邻近连接的检测方法,用于高通量筛选药物对信号通路的影响。作为概念验证,我们使用该检测方法筛选了先前确定的激酶抑制剂文库,包括六种临床使用的酪氨酸激酶抑制剂,以鉴定出抑制血小板衍生生长因子(PDGF)受体β信号通路的化合物在刺激原代人成纤维细胞中。在 80 种化合物中有 13 种被鉴定为阳性,并且测量了这些化合物的剂量反应。该检测方法的 Z'因子(0.71)和信号噪声比(11.7)非常高,证明了其识别干扰特定信号事件的化合物的能力非常出色。与常规的磷酸化 PDGF 受体免疫荧光检测相比,原位邻近连接检测显示出了更优越的能力,能够揭示受体磷酸化的抑制。此外,还可以定量测定 PDGF 信号通路中蛋白-蛋白相互作用的抑制剂诱导的扰动,进一步证明了该检测方法在药物发现中的有用性。