Abstract
Here, we report a label-free gold nanoparticle-based single-molecule optical platform to study the immobilization, activity, and thermodynamics of single enzymes. The sensor uses plasmonic gold nanoparticles coupled to optical whispering gallery modes (WGMs) to probe enzyme conformational dynamics during turnover at a microsecond time resolution. Using a glucosidase enzyme as the model system, we explore the temperature dependence of the enzyme turnover at the single-molecule (SM) level. A recent physical model for understanding enzyme temperature dependencies (macromolecular rate theory; MMRT) has emerged as a powerful tool to study the relationship between enzyme turnover and thermodynamics. Using WGMs, SM enzyme measurements enable us to accurately track turnover as a function of conformational changes and therefore to quantitatively probe the key feature of the MMRT model, the activation heat capacity, at the ultimate level of SM. Our data shows that WGMs are extraordinarily sensitive to protein conformational change and can discern both multiple steps with turnover as well as microscopic conformational substates within those steps. The temperature dependence studies show that the MMRT model can be applied to a range of steps within turnover at the SM scale that is associated with conformational change. Our study validates the notion that MMRT captures differences in dynamics between states. The WGM sensors provide a platform for the quantitative analysis of SM activation heat capacity, applying MMRT to the label-free sensing of microsecond substates of active enzymes.
Original language | English |
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Article number | acsanm.1c00176 |
Pages (from-to) | 4576–4583 |
Journal | ACS Applied Nano Materials |
Volume | 4 |
Issue number | 5 |
Early online date | 29 Mar 2021 |
DOIs | |
Publication status | Published - 28 May 2021 |
Funding
F.V acknowledges EPSRC - EP/T002875/1: Molecular Mechanics of Enzymes and EP/R031428/1: An Optical Single-Molecule Scanner of Protein Motion. M.V.K. acknowledges BBSRC - BB/M026280/1. V.A. acknowledges funding from the New Zealand Marsden Fund (16-UOW-027).