Zietek Matylda, Lohith Akshar, Terciano Derfel, Rabbitts Beverley, Khadilkar Aswad, MacMillan John, Lokey Scott
Res Sq. 2025 Jun 23:rs.3.rs-6734784. doi: 10.21203/rs.3.rs-6734784/v1.
As drug and natural product libraries expand, assays for assessing mechanisms of action (MoA) are increasingly critical. Performing cytological profiling using the Cell Painting (CP) assay enables image-based profiling of cellular states upon treatment, yet many bioactive compounds remain uncharacterized due to undetectable cellular effects under standard conditions. To address this, we combined drug dosing with cell activation using the protein kinase C (PKC) agonist phorbol myristate acetate (PMA). Profiling A549 lung cancer cells treated with 8,387 compounds at two concentrations (1 and 10 µM) in both resting and PMA-activated states allowed us to detect phenotypic effects for up to 40% of all screened compounds, effectively illuminating new phenotypic "dark space". Over 1,000 compounds exhibited phenotypes exclusively under PMA activation, establishing its advantage for MoA studies. We introduce novel quality control measures for CP screens and demonstrate that integrating phenotypic signatures enhances MoA discovery. Notably, 2-methoxycinnamaldehyde clustered with glucocorticoid receptor modulators and induced nuclear translocation, emphasizing the power of this approach in uncovering novel drug mechanisms and, therefore, aiding in improving therapeutic strategies.
随着药物和天然产物库的不断扩大,评估作用机制(MoA)的检测方法变得越来越重要。使用细胞绘画(CP)检测进行细胞分析能够在处理后对细胞状态进行基于图像的分析,然而,由于在标准条件下细胞效应难以检测,许多生物活性化合物仍未得到表征。为了解决这个问题,我们将药物给药与使用蛋白激酶C(PKC)激动剂佛波酯肉豆蔻酸酯乙酸酯(PMA)进行细胞激活相结合。在静息和PMA激活状态下,对用两种浓度(1和10μM)的8387种化合物处理的A549肺癌细胞进行分析,使我们能够检测到高达40%的所有筛选化合物的表型效应,有效地揭示了新的表型“暗空间”。超过1000种化合物仅在PMA激活下表现出表型,确立了其在MoA研究中的优势。我们为CP筛选引入了新的质量控制措施,并证明整合表型特征可增强MoA发现。值得注意的是,2-甲氧基肉桂醛与糖皮质激素受体调节剂聚集在一起并诱导核转位,强调了这种方法在揭示新的药物机制以及因此有助于改进治疗策略方面的作用。