The University of Southampton
University of Southampton Institutional Repository

Programmable digital microfluidic assay for simultaneous detection of multiple anti-microbial resistance genes

Programmable digital microfluidic assay for simultaneous detection of multiple anti-microbial resistance genes
Programmable digital microfluidic assay for simultaneous detection of multiple anti-microbial resistance genes
The rapid emergence of antimicrobial resistant bacteria requires the development of new diagnostic tests. Nucleic acid based assay determine antimicrobial susceptibility by detecting genes that encode for the resistance. In this study, we demonstrate rapid and simultaneous detection of three genes that confer resistance in bacteria to extended spectrum β-lactam and carbapenem antibiotics; CTX-M-15, KPC and NDM-1. The assay uses isothermal DNA amplification (Recombinase Polymerase Amplification, RPA) implemented on a programmable digital microfluidics (DMF) platform. Automated dispensing protocols are used to simultaneously manipulate 45 droplets of nL volume containing sample DNA, reagents and controls. The droplets are processed and mixed under electronic control on the DMF devices with positive amplification measured by fluorescence. The assay is fast, has two orders of magnitude improved sensitivity compared with a benchtop assay.
University of Southampton
Kalsi, Sumit
0ec1f5c2-a6ec-4c07-92fb-15708c28742e
Sellars, Samuel, Lee
3a7253a9-c854-4b18-ad56-9d2e95e3467c
Turner, Carrie
8ff2a882-4649-4031-a660-7b5889169557
Sutton, Mark
d533d794-3525-4433-a973-af499e0cb93a
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174
Kalsi, Sumit
0ec1f5c2-a6ec-4c07-92fb-15708c28742e
Sellars, Samuel, Lee
3a7253a9-c854-4b18-ad56-9d2e95e3467c
Turner, Carrie
8ff2a882-4649-4031-a660-7b5889169557
Sutton, Mark
d533d794-3525-4433-a973-af499e0cb93a
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174

Kalsi, Sumit, Sellars, Samuel, Lee, Turner, Carrie, Sutton, Mark and Morgan, Hywel (2018) Programmable digital microfluidic assay for simultaneous detection of multiple anti-microbial resistance genes. University of Southampton doi:10.5258/SOTON/404856 [Dataset]

Record type: Dataset

Abstract

The rapid emergence of antimicrobial resistant bacteria requires the development of new diagnostic tests. Nucleic acid based assay determine antimicrobial susceptibility by detecting genes that encode for the resistance. In this study, we demonstrate rapid and simultaneous detection of three genes that confer resistance in bacteria to extended spectrum β-lactam and carbapenem antibiotics; CTX-M-15, KPC and NDM-1. The assay uses isothermal DNA amplification (Recombinase Polymerase Amplification, RPA) implemented on a programmable digital microfluidics (DMF) platform. Automated dispensing protocols are used to simultaneously manipulate 45 droplets of nL volume containing sample DNA, reagents and controls. The droplets are processed and mixed under electronic control on the DMF devices with positive amplification measured by fluorescence. The assay is fast, has two orders of magnitude improved sensitivity compared with a benchtop assay.

Spreadsheet
Database_Programmable_digital_microfluidic_assay_for_simultaneous_detection_of_multiple_anti_microbial_resistance_genes.xlsx - Dataset
Download (105kB)

More information

Published date: 2018
Organisations: Nanoelectronics and Nanotechnology, Electronics & Computer Science

Identifiers

Local EPrints ID: 421870
URI: https://eprints.soton.ac.uk/id/eprint/421870
PURE UUID: 868b064b-f4c5-46dd-8471-48fb35ec72df
ORCID for Hywel Morgan: ORCID iD orcid.org/0000-0003-4850-5676

Catalogue record

Date deposited: 03 Jul 2018 16:31
Last modified: 05 Jul 2018 00:33

Export record

Altmetrics

Contributors

Creator: Sumit Kalsi
Creator: Samuel, Lee Sellars
Creator: Carrie Turner
Creator: Mark Sutton
Creator: Hywel Morgan ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×