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Curbing the Threat of Infectious Disease

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The threat of infectious disease has become ever more apparent with the outbreak of the COVID-19 pandemic. The variability in COVID-19 disease severity has broadened the focus of infectious disease research from the traditional pathogen to the dynamic and complex relationship between the pathogen and host. Borrowing lessons from immuno-oncology, researchers are learning to treat the host as well as the pathogen, modulating the immune system to fine tune the host response and avoid systemic hyperinflammation and organ damage.   

Challenges

We understand the critical challenges you face in your research when evaluating how pathogens infect, how the host responds to infection, and how to develop effective vaccines and treatments. Infected samples are complex and usually dominated by host cells, making pathogen detection a challenge. Disease severity and morbidity can be confounded by underlying conditions and/or an abnormal immune response. Efficient and robust techniques are needed to track transcriptional and proteomic changes from a variety of sample types. Spatial profiling of biomarkers for organ damage and immune infiltration within tissue can yield crucial insights when paired with more traditional gene expression analysis of disease progression, treatment response, and immunity.  

NanoString’s nCounter® Analysis System and GeoMx® Digital Spatial Profiler (DSP) enable researchers to rapidly perform high-plex experiments in key areas of biology that answer questions related to the effect of pathogen infection at the molecular, cellular, tissue, and individual level.

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PPARγ is critical for Mycobacterium tuberculosis induction of Mcl-1 and limitation of human macrophage apoptosis

Related Resources

View All Resources
Whitepaper Infectious Disease – Whitepaper
Brochure/eBook eBook – COVID-19 Research Solutions
Webinar Insights into the Pathogenesis of COVID-19 as Revealed by Spatial Biology
Whitepaper GeoMx COVID-19 Applications – Whitepaper
Video Studying Infectious Disease using Multiplexed Direct Digital Detection, Part 2
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