Identify Pathogens and Study the Host Immune Response
The threat of infectious disease continues to grow globally, creating an urgent need for fast and accurate pathogen identification methods to determine the correct course of treatment. Infectious disease research plays an important role in developing vaccines and other treatments to reduce the devastating effects of serious illnesses and infections caused by HIV, Ebola virus, Zika virus, and Influenza virus, or even the common cold. Research on host responses to bacterial or fungal infections may also aid in the development of new treatments for antibiotic resistant strains that are reemerging as a public health threat.
Current infectious disease research efforts are aimed at understanding how pathogens function and how hosts respond, but these efforts can be complicated due to multiple variables such as sample availability, pathogen load, and time to identification. Further complicating measurement, when specimens are available, pathogens may constitute a small fraction of the material, and readings must be made quickly to inform treatment decisions. These measurements are crucial because by tracking the immune response to bacteria, viruses, fungi, and parasites, investigators can gain insight into potential therapeutic pathways. For accurate pathogen identification, particularly, there is a need for technologies that accurately assess the host immune response while tracking transcriptional profiles in vivo, where gene expression may differ significantly from patterns observed in vitro.
New direct hybridization-based digital counting technologies allow for a multiplex approach to profile both pathogen and host-specific responses simultaneously, ushering in new capability in infectious disease research at the basic, translational, and diagnostic levels. Scientists around the world are using this technology to expand their capabilities within infectious disease research. Some examples include the ability to understand the inflammatory response to West Nile Virus, identifying key changes in T-cell function during Tuberculosis infection, and rapid identification of antibiotic resistance, among others.
Multiplexing Infectious Disease
In this whitepaper "Multiplexing Infectious Disease Analysis," you can learn how NanoString’s nCounter® platform provides a simple workflow to enable rapid, precise, and cost-effective infectious disease research and diagnosis.
Green R. et al., "Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model" Genomics Data [Epub ahead of print]. October 14, 2016
Sweeney T.E. et al., "Robust classification of bacterial and viral infections via integrated host gene expression diagnostics" Sci. Transl. Med. [Epub ahead of print]. July 06, 2016
Kienesberger S. et al., "Gastric Helicobacter pylori Infection Affects Local and Distant Microbial Populations and Host Responses." Cell Reports [Epub ahead of print]. February 04, 2016
Xu W. et al., "Pathogen Gene Expression Profiling during Infection Using a NanoString nCounter Platform." Meth. Mol. Biol. [Epub ahead of print]. October 20, 2015
Van Tyne D. et al., "Plasmodium falciparum gene expression measured directly from tissue during human infection." Genome Medicine [Epub ahead of print]. November 29, 2014
Barczak AK, et al., "RNA
signatures allow rapid identification of pathogens and antibiotic
susceptibilities" PNAS [Epub
ahead of print]. April 02, 2012
or Click here to view all nCounter publications on Infectious Disease.
For Research Use Only. Not for use in diagnostic procedures.