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High-Throughput Steady-State Enzyme Kinetics Measured in a Parallel Droplet Generation and Absorbance Detection Platform
[Image: see text] Microfluidic water-in-oil emulsion droplets are becoming a mainstay of experimental biology, where they replace the classical test tube. In most applications, such as ultrahigh-throughput directed evolution, the droplet content is identical for all compartmentalized assay reactions...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730296/ https://www.ncbi.nlm.nih.gov/pubmed/36417687 http://dx.doi.org/10.1021/acs.analchem.2c03164 |
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author | Neun, Stefanie van Vliet, Liisa Hollfelder, Florian Gielen, Fabrice |
author_facet | Neun, Stefanie van Vliet, Liisa Hollfelder, Florian Gielen, Fabrice |
author_sort | Neun, Stefanie |
collection | PubMed |
description | [Image: see text] Microfluidic water-in-oil emulsion droplets are becoming a mainstay of experimental biology, where they replace the classical test tube. In most applications, such as 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 of initial rates that define Michaelis–Menten parameters 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 a product is detected by reading the absorbance of the droplet sets at multiple, adjustable time points by reversing the flow direction after each detection, so that the droplets pass a line scan camera multiple times. Detection multiplexing allows absorbance values at 12 distinct positions to be measured, and enzyme kinetics are recorded for label-free concentration gradients that are 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, 12 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 7 orders of magnitude in k(cat)/K(M). The straightforward setup, high throughput, excellent data quality, and wide dynamic range that allows coverage of diverse activities suggest that this system may serve as a miniaturized spectrophotometer for detailed analysis of clones emerging from large-scale combinatorial experiments. |
format | Online Article Text |
id | pubmed-9730296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97302962022-12-09 High-Throughput Steady-State Enzyme Kinetics Measured in a Parallel Droplet Generation and Absorbance Detection Platform Neun, Stefanie van Vliet, Liisa Hollfelder, Florian Gielen, Fabrice Anal Chem [Image: see text] Microfluidic water-in-oil emulsion droplets are becoming a mainstay of experimental biology, where they replace the classical test tube. In most applications, such as 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 of initial rates that define Michaelis–Menten parameters 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 a product is detected by reading the absorbance of the droplet sets at multiple, adjustable time points by reversing the flow direction after each detection, so that the droplets pass a line scan camera multiple times. Detection multiplexing allows absorbance values at 12 distinct positions to be measured, and enzyme kinetics are recorded for label-free concentration gradients that are 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, 12 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 7 orders of magnitude in k(cat)/K(M). The straightforward setup, high throughput, excellent data quality, and wide dynamic range that allows coverage of diverse activities suggest that this system may serve as a miniaturized spectrophotometer for detailed analysis of clones emerging from large-scale combinatorial experiments. American Chemical Society 2022-11-23 2022-12-06 /pmc/articles/PMC9730296/ /pubmed/36417687 http://dx.doi.org/10.1021/acs.analchem.2c03164 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Neun, Stefanie van Vliet, Liisa Hollfelder, Florian Gielen, Fabrice High-Throughput Steady-State Enzyme Kinetics Measured in a Parallel Droplet Generation and Absorbance Detection Platform |
title | High-Throughput
Steady-State Enzyme Kinetics Measured
in a Parallel Droplet Generation and Absorbance Detection
Platform |
title_full | High-Throughput
Steady-State Enzyme Kinetics Measured
in a Parallel Droplet Generation and Absorbance Detection
Platform |
title_fullStr | High-Throughput
Steady-State Enzyme Kinetics Measured
in a Parallel Droplet Generation and Absorbance Detection
Platform |
title_full_unstemmed | High-Throughput
Steady-State Enzyme Kinetics Measured
in a Parallel Droplet Generation and Absorbance Detection
Platform |
title_short | High-Throughput
Steady-State Enzyme Kinetics Measured
in a Parallel Droplet Generation and Absorbance Detection
Platform |
title_sort | high-throughput
steady-state enzyme kinetics measured
in a parallel droplet generation and absorbance detection
platform |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730296/ https://www.ncbi.nlm.nih.gov/pubmed/36417687 http://dx.doi.org/10.1021/acs.analchem.2c03164 |
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