Uncovering the underlying genetic factors associated with COVID-19 host susceptibility and profiling individual immune system responses may help unravel the complexities of the disease and reveal future therapeutic targets. It is crucial to identify genetic variants linked to COVID-19 disease severity, and study immune response differences such as inflammatory cytokine, T cell, and NK cell gene expression signatures. Next-generation sequencing (NGS) and microarray technologies can help researchers interrogate host genetic variation and characterize the molecular mechanisms that drive immune responses.
The key benefits of using Illumina NGS and array technologies to study host risk and immune response include:
|Host genetics research
|Host immune response profiling
|Microbiome & host response
Dr. Lee Murphy’s core lab at the University of Edinburgh applies a genomic approach to study host genetic variability in disease progression and outcome in SARS-CoV-2 hospitalized patients. The team and collaborators perform genotyping and WGS on DNA samples, as well as mRNA sequencing on the NextSeq 2000 System.View Video
Data from severely ill patients may help us understand the genetics of susceptibility. Sequencing the entire human genome may identify genetic variations that help explain why the COVID-19 pandemic is life-threatening for some people but not others.Read Article
BaseSpace Correlation Engine enables hypothesis validation around important cell signaling and immune system pathways, biomarkers, and potential drug candidate leads, to help address the COVID-19 crisis.Read Article
The study of microbial communities found in and on the human body allows researchers to understand the role of microbes in health and disease.
A DNA sequencing method that enables comprehensive sampling of all genes in all organisms in a given complex microbial sample.
Complex diseases result from a combination of genetic and environmental factors. Array and sequencing technologies can help reveal the underpinnings of these diseases.
Expand cell and molecular biology research beyond conventional methods with next-generation sequencing.
With single-cell RNA-Seq, researchers can study cellular differences that are often masked by bulk sampling.