Influenza labelling

New method helps fighting future pandemics

By developing a new technique for labeling the gene segments of influenza viruses, researchers now know more about how influenza viruses enter the cell and establish cell co-infections - a major contributing factor to potential pandemic development.

Researchers from Stockholm have found a way to visualize the genome of...
Researchers from Stockholm have found a way to visualize the genome of influenza viruses. This might be an important step to combat future viral outbreaks.
Source: shutterstock/mathagraphics

Seasonal influenza viruses are estimated to cause 3-5 million cases of severe illness each year. Since the most severe infections are caused by influenza type A and type B viruses, the available vaccines provide coverage against these two types. However, influenza viruses are constantly evolving, which requires that vaccines are designed to match the circulating variants of the virus each year.

Influenza viruses evolve by acquiring mutations in the viral genome or by a process called reassortment. Reassortment, which was responsible for the 2009 pandemic virus, occurs when one or more of the eight genome segments are exchanged between two different influenza viruses. With current techniques it is not easy to make comparative analysis of influenza viruses with single mutations in their genomes, and it is extremely difficult to identify factors that limit the reassortment process between two influenza genomes that have infected the same cell. Through a collaborative effort, scientists from Stockholm University, SciLifeLab, Karolinska Institute and the Leibniz Institute developed a procedure to analyze influenza virus infections in cells and lung tissue by labeling and visualizing the viral genome.

The specificity of the approach enabled the researchers to visualize the delivery of the eight influenza genome segments to the cell nucleus where the virus replicates, and to analyze co-infections by two influenza viruses that differed by single mutations. Using this technique, the researchers concluded that productive cell co-infections, which are necessary for reassortment, only occur when both viruses enter the same cell within two hours. "This unique approach will make it easier to evaluate how new mutations affect influenza pathogenicity and help to identify the underlying properties that enable or restrict influenza gene segment reassortment", says Robert Daniels, the lead researcher from Stockholm University. "This can help the community predict the possibility of two strains reassorting into a potential pandemic virus. While further research is needed to achieve these goals, the current approach can already help to characterize and assess treatments aimed at inhibiting influenza entry into cells. Through additional improvements the technique also has potential diagnostic applications for identifying influenza virus infections as well as many other pathogens."

 

Source: Stockholm University

07.07.2017

Read all latest stories

Related articles

Research

Zika: Experimental drug slows down infection

Virologists from KU Leuven, Belgium, have shown that an experimental antiviral drug against hepatitis C slows down the development of Zika in mice. The research team was led by Professor Johan Neyts…

Influenza A (H1N1) update

WHO has been carefully monitoring the spread of influenza A (H1N1) and has now raised the alert level to level 6. Raising the alert to level 6 is a measure of geographical spread of the virus and not…

mini viral RNA

Understanding the deadly nature of pandemic influenza

Researchers at the University of Cambridge and the University of Oxford have discovered a new molecule that plays a key role in the immune response that is triggered by influenza infections.

Related products

Research use only (RUO)

Eppendorf - Mastercycler nexus X2

Eppendorf AG

Amplification/Detection

Agena Bioscience - MassARRAY Colon Panel

Agena Bioscience GmbH

Research use only (RUO)

Eppendorf - BioSpectrometer fluroescence

Eppendorf AG

Research use only (RUO)

Eppendorf - μCuvette G1.0

Eppendorf AG

Amplification

Orion Diagnostica Oy - Orion GenRead

Orion Diagnostics Oy