Quek Rui Tong, Shirazinejad Cyna R, Young Christina L, Hardy Kierra S, Lim Samuel, Elms Phillip J, McSwiggen David T, Mitchison Timothy J, Silver Pamela A
Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Eikon Therapeutics, Hayward, California, USA.
SLAS Discov. 2025 Mar;31:100220. doi: 10.1016/j.slasd.2025.100220. Epub 2025 Feb 1.
Protein-nucleic acid phase separation has been implicated in many diseases such as viral infections, neurodegeneration, and cancer. There is great interest in identifying condensate modulators (CMODs), which are small molecules that alter the dynamics and functions of phase-separated condensates, as a potential therapeutic modality. Most CMODs were identified in cellular high-content screens (HCS) where micron-scale condensates were characterized by fluorescence microscopy. These approaches lack information on protein dynamics, are limited by microscope resolution, and are insensitive to subtle condensation phenotypes missed by overfit analysis pipelines. Here, we evaluate two alternative cell-based assays: high-throughput single molecule tracking (htSMT) and proximity-based condensate biosensors using NanoBIT (split luciferase) and NanoBRET (bioluminescence resonance energy transfer) technologies. We applied these methods to evaluate condensation of the SARS-CoV-2 nucleocapsid (N) protein under GSK3 inhibitor treatment, which we had previously identified in our HCS campaign to induce condensation with well-defined structure-activity relationships (SAR). Using htSMT, we observed robust changes in N protein diffusion as early as 3 h post GSK3 inhibition. Proximity-based N biosensors also reliably reported on condensation, enabling the rapid assaying of large compound libraries with a readout independent of imaging. Both htSMT and proximity-based biosensors performed well in a screening format and provided information on CMOD activity that was complementary to HCS. We expect that this expanded toolkit for interrogating phase-separated proteins will accelerate the identification of CMODs for important therapeutic targets.
蛋白质-核酸相分离与许多疾病有关,如病毒感染、神经退行性变和癌症。人们对鉴定凝聚物调节剂(CMODs)非常感兴趣,CMODs是一类小分子,可改变相分离凝聚物的动力学和功能,是一种潜在的治疗方式。大多数CMODs是在细胞高内涵筛选(HCS)中鉴定出来的,在该筛选中,微米级的凝聚物通过荧光显微镜进行表征。这些方法缺乏关于蛋白质动力学的信息,受显微镜分辨率的限制,并且对过度拟合分析流程遗漏的细微凝聚表型不敏感。在这里,我们评估了两种基于细胞的替代检测方法:高通量单分子追踪(htSMT)和使用NanoBIT(分裂荧光素酶)和NanoBRET(生物发光共振能量转移)技术的基于邻近性的凝聚物生物传感器。我们应用这些方法来评估在GSK3抑制剂处理下严重急性呼吸综合征冠状病毒2(SARS-CoV-2)核衣壳(N)蛋白的凝聚情况,我们之前在HCS研究中已鉴定出该抑制剂可诱导具有明确构效关系(SAR)的凝聚。使用htSMT,我们早在GSK3抑制后3小时就观察到N蛋白扩散的显著变化。基于邻近性的N生物传感器也可靠地报告了凝聚情况,能够以与成像无关的读数快速检测大型化合物库。htSMT和基于邻近性的生物传感器在筛选形式中都表现良好,并提供了与HCS互补的CMOD活性信息。我们期望这个用于研究相分离蛋白的扩展工具包将加速针对重要治疗靶点的CMODs的鉴定。