A fully unsupervised compartment-on-demand platform for precise nanoliter assays of time-dependent steady-state enzyme kinetics and inhibition.
A fully unsupervised compartment-on-demand platform for precise nanoliter assays of time-dependent steady-state enzyme kinetics and inhibition.
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DOI:
10.1021/ac400480z
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发表时间:
2013-05-07
影响因子:
7.4
通讯作者:
Hollfelder, Florian
中科院分区:
文献类型:
--
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
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 β-glucosidase can be generated based on 24 time-courses taken at different substrate concentrations with a total volume consumption of only 1.4 μL. Importantly, kinetic parameters can be derived in a fully unsupervised manner within 20 min: droplet production (5 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 Ki values were determined. In both cases, the kinetic parameters obtained in droplets were identical within error to values obtained in titer plates, despite a >104-fold volume reduction, from micro- to nanoliters.
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影响因子:
6.1
作者:
Churski, Krzysztof;Michalski, Jacek;Garstecki, Piotr
通讯作者:
Garstecki, Piotr
DOI:
10.1007/978-1-62703-354-1_16
发表时间:
2013-01-01
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
作者:
Devenish, Sean R A;Kaltenbach, Miriam;Hollfelder, Florian
通讯作者:
Hollfelder, Florian
影响因子:
16.6
作者:
Ali-Cherif, Anais;Begolo, Stefano;Malaquin, Laurent
通讯作者:
Malaquin, Laurent
影响因子:
7.4
作者:
Bui, Minh-Phuong Ngoc;Li, Cheng Ai;Seong, Gi Hun
通讯作者:
Seong, Gi Hun
影响因子:
--
作者:
Kintses, Balint;Hein, Christopher;Hollfelder, Florian
通讯作者:
Hollfelder, Florian