High-Throughput Steady-State Enzyme Kinetics Measured in a Parallel Droplet Generation and Absorbance Detection Platform
Year: 2022
Type: article
Abstract: ABSTRACT Microfluidic water-in-oil emulsion droplets are becoming a mainstay of experimental biology, where they replace the classical test tube. In most applications (e.g. in ultrahigh throughput directed evolution) the droplet content is identical for all compartmentalized assay reactions. When emulsion droplets are used for kinetics or other functional assays, though, concentration dependencies (e.g. of initial rates for Michaelis-Menten plots) are required. Droplet-on-demand systems satisfy this need but extracting large amounts of data is challenging. Here we introduce a multiplexed droplet absorbance detector which, coupled to semi-automated droplet generation, forms a tubing-based droplet-on-demand system able to generate and extract quantitative datasets from defined concentration gradients across multiple series of droplets for multiple time points. The emergence of product is detected by reading the absorbance of the droplet sets at multiple, adjustable time points (reversing the flow direction after each detection, so that the droplets pass a line scan camera multiple times). Detection multiplexing allows absorbance values at twelve distinct positions to be measured and enzyme kinetics are recorded for label-free concentration gradients (composed of about 60 droplets each, covering as many concentrations). With a throughput of around 8640 data points per hour, a 10-fold improvement compared to the previously reported single point detection method is achieved. In a single experiment, twelve full datasets of high-resolution and high accuracy Michaelis-Menten kinetics were determined to demonstrate the potential for enzyme characterization for glycosidase substrates covering a range in enzymatic hydrolysis of seven orders of magnitude in k cat /K M . The straightforward set-up, high throughput, excellent data quality, wide dynamic range that allows coverage of diverse activities suggest that this system may serve as a miniaturized spectrophotometer to for detailed analysis of study clones emerging from large-scale combinatorial experiments. Abstract Figure
Source: Analytical Chemistry
Institutions: University of Cambridge, University of Exeter
Language: English
Subfield: Fluid Flow and Transfer Processes
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,000
Awards: G1147893575, G187865429, SENSE - Screening of ENvironmental SEquences to discover novel protein functions using informatics target selection and high-throughput validation, Exploring the Chemical Biology of Sequence Space via Picoliter Droplets, G4742809182, G495187929, G5045220161, Microdroplet technology - the next stage, Advanced toolbox for rapid and cost-effective functional metagenomic screening - microbiology meets microfluidics., RAPID DISCOVERY AND DEVELOPMENT OF ENZYMES FOR NOVEL AND GREENER CONSUMER PRODUCTS
OpenAlex ID: W4309809681
