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Electrowetting-based Digital Microfluidics Platform for Automated Enzyme-linked Immunosorbent Assay
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Published on: February 23, 2020

A microbial detection array (MDA) for viral and bacterial detection.

Shea N Gardner1, Crystal J Jaing, Kevin S McLoughlin

  • 1Global Security, Lawrence Livermore National Laboratory, Livermore, CA 94551, USA.

BMC Genomics
|November 27, 2010
PubMed
Summary
This summary is machine-generated.

The pan-Microbial Detection Array (MDA) accurately identifies bacteria and viruses in complex samples. This advanced array and analysis method aids in disease diagnostics and environmental characterization.

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Accurate identification of bacteria and viruses in complex samples is crucial for diagnostics, safety, and research.
  • Array-based methods offer cost-effective detection of numerous microbes simultaneously.

Purpose of the Study:

  • To design and validate a pan-Microbial Detection Array (MDA) for comprehensive microbial identification.
  • To develop a novel statistical method for analyzing complex microbial mixtures detected by the array.

Main Methods:

  • Designed a pan-Microbial Detection Array (MDA) with broad coverage of viral, bacterial, and plasmid targets using recent sequence data.
  • Utilized family-specific probes designed for sequence variation tolerance and human genome exclusion.
  • Developed a novel statistical analysis method for identifying microbial mixtures.

Main Results:

  • The MDA correctly identified single and multiple viruses/strains in spiked samples during blinded testing.
  • Clinical samples (fecal, serum, respiratory) showed detection and characterization of multiple viruses, phages, and bacteria at family and species levels.
  • Results were validated using Polymerase Chain Reaction (PCR).

Conclusions:

  • The pan-Microbial Detection Array (MDA) effectively identifies the comprehensive suite of viruses and bacteria in complex samples.
  • The MDA is a valuable tool for microbial detection across various applications.