Multiplexed Infectious Disease Analysis
In this whitepaper "Multiplexed 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.
Identify Pathogens and Study the Host Immune Response
The threat of infectiousdisease continues to grow globally with the rise of new pathogens such as SARs-CoV-2 and influenza Type A H1N1. Infectious disease research plays an important role in developing vaccines and medications 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 is 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 things, when specimens are available, pathogens may constitute a small fraction of the sample, 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. Scientists around the world can use the nCounter® Analysis System and the GeoMx® Digital Spatial Profiler to understand the immune response to COVID-19 disease, identify key changes in T cell function during Tuberculosis infection, and rapidly identify antibiotic resistance, among others.
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.