We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Nanopore Sequencing Enables Outbreak Field Surveillance

By LabMedica International staff writers
Posted on 03 Oct 2018
Print article
Image: The NEBNext ultra directional RNA library prep kit (Photo courtesy of New England Biolabs).
Image: The NEBNext ultra directional RNA library prep kit (Photo courtesy of New England Biolabs).
Outbreaks of fever of unknown origin start with nonspecific symptoms and case definition is only slowly developed and adapted, therefore, identifying the causative agent is crucial to ensure suitable treatment and control measures.

As an alternative method for Polymerase Chain Reaction in molecular diagnostics diagnostic, metagenomics can be applied to identify the pathogen responsible for the outbreak through sequencing all nucleic acids present in a sample extract. Sequencing data obtained can identify new or variants of known agents.

An international team of scientists led by those at the University of Göttingen (Göttingen, Germany) explored a sequencing protocol relying on multiple displacement isothermal amplification and nanopore sequencing in order to allow the identification of the causative agent in a sample. To develop the procedure, a mock sample consisting of supernatant from Zika virus tissue culture was used. The team extracted RNA and performed reverse transcription, which also eliminated genomic DNA, and then used the NEBext mRNA kit for sample preparation.

The team reported that the procedure took under seven hours including sample preparation and data analysis using an offline BLAST search. After sequencing on the MinIon they used a custom-designed offline bioinformatics process. Typically, nanopore sequencing data is analyzed in the cloud, but that is not feasible in the field. In total, 63,678 sequence files covering around 10,000 bases were extracted. BLAST search revealed the presence of Zika virus. Zika virus sequences were identified in around 4% of the reads.

Abd El Wahed, PhD, the senior author of the study, said, “One key for sequencing in the field was to ensure that all the reagents and equipment could survive without having to be refrigerated or kept on ice. The reagents the scientists chose could be used at 25 °C for one day, but for longer-term storage, a freezer would still be needed.” The study was published in the September 2018 issue of the Journal of Clinical Virology.

Related Links:
University of Göttingen

Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Ultra-Low Temperature Freezer
iUF118-GX
New
TRAb Immunoassay
Chorus TRAb

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Molecular Diagnostics

view channel
Image: The breakthrough could result in a higher success rate using a simple oral swab test before IVF (Photo courtesy of Shutterstock)

POC Oral Swab Test to Increase Chances of Pregnancy in IVF

Approximately 15% of couples of reproductive age experience involuntary childlessness. A significant reason for this is the growing trend of delaying family planning, a global shift that is expected to... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.