A Fully Unsupervised Compartment-on-Demand Platform for Precise Nanoliter Assays of Time-Dependent Steady-State Enzyme Kinetics and Inhibition

作者：Gielen Fabrice; van Vliet Liisa; Koprowski Bartosz T; Devenish Sean R A; Fischlechner Martin; Edel Joshua B; Niu Xize^*; deMello Andrew J; Hollfelder Florian

来源：Analytical Chemistry, 2013, 85(9): 4761-4769.

DOI：10.1021/ac400480z

The ability to miniaturize biochemical assays in water-in-oil emulsion droplets allows a massive scale down of reaction volumes, so that high-throughput experimentation can be performed more economically and more efficiently. Generating such droplets in compartment-on-demand (COD) platforms is the basis for rapid, automated screening of chemical and biological libraries with minimal volume consumption. Herein, we describe the implementation of such a COD platform to perform high precision nanoliter assays. The coupling of a COD platform to a droplet absorbance detection set-up results in a fully automated analytical system. Michaelis-Menten parameters of 4-nitrophenyl glucopyranoside hydrolysis by sweet almond beta-glucosidase can be generated based on 24 time-courses taken at different substrate concentrations with a total volume consumption of only 1.4 mu L. Importantly, kinetic parameters can be derived in a fully unsupervised manner within 20 min: droplet production (S min), initial reading of the droplet sequence (5 min), and droplet fusion to initiate the reaction and read-out over time (10 min). Similarly, the inhibition of the enzymatic reaction by conduritol B epoxide and 1-deoxynojirimycin was measured, and K-i values were determined In both cases, the kinetic parameters obtained in droplets were identical within error to values obtained in titer plates, despite a %26gt;10(4)-fold volume reduction, from micro- to nanoliters.

• 出版日期2013-5-7