School of Chemistry, University of Southampton, SouthamptonSO17 1BJ, United Kingdom.
School for Biological Sciences, University of Southampton, B85 Life Science Building, University Rd, SouthamptonSO17 1BJ, United Kingdom.
J Am Chem Soc. 2023 Feb 8;145(5):3204-3210. doi: 10.1021/jacs.2c13052. Epub 2023 Jan 30.
We demonstrate an automated microfluidic nuclear magnetic resonance (NMR) system that quantitatively characterizes protein-ligand interactions without user intervention and with minimal sample needs through protein-detected heteronuclear 2D NMR spectroscopy. Quantitation of protein-ligand interactions is of fundamental importance to the understanding of signaling and other life processes. As is well-known, NMR provides rich information both on the thermodynamics of binding and on the binding site. However, the required titrations are laborious and tend to require large amounts of sample, which are not always available. The present work shows how the analytical power of NMR detection can be brought in line with the trend of miniaturization and automation in life science workflows.
我们展示了一种自动化的微流控核磁共振(NMR)系统,该系统通过蛋白质检测异核二维 NMR 光谱学,在无需用户干预和最小样品需求的情况下,定量表征蛋白质-配体相互作用。定量研究蛋白质-配体相互作用对于理解信号转导和其他生命过程具有重要意义。众所周知,NMR 不仅提供了关于结合热力学的丰富信息,还提供了关于结合位点的信息。然而,所需的滴定实验繁琐,而且往往需要大量的样品,而这些样品并不总是可用的。本工作表明,如何使 NMR 检测的分析能力与生命科学工作流程的小型化和自动化趋势保持一致。