Researchers show that genomic tracking can be used to trace individual virus transmission lineages and could therefore be adopted for future pandemics.
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Researchers suggest that identifying new treatments for autoimmune diseases requires studying the immune system AND target tissues together.
A new analysis suggests SARS-CoV-2-specific antibodies remain relatively stable for eight months and Spike protein-specific memory B cells increase in number over time.
A new study suggests that inflammation and blood vessel damage may be the primary causes of neurological symptoms in COVID-19 patients, instead of the virus infecting the brain.
According to researchers, an interaction between host microRNA and SARS-CoV-2 could be responsible for the range of disease severities.
Scientists have created a prognostic classification model which uses biomarkers to help predict an individual’s risk of developing severe COVID-19 symptoms.
The study found five key genetic differences when they compared sequences from severe COVID-19 patients to healthy individuals.
Two new studies suggest that SARS-CoV-2-specific IgA antibodies are more neutralising and therefore COVID-19 vaccines should encourage an IgA response.
A new study has identified the mechanisms through which the SARS-CoV-2 virus enters the brain and how the immune system responds once it does.
Researchers have found a way to systematically extract various cell types from induced pluripotent stem cells and made their transcription factor source accessible for other scientists.
Researchers reveal how two genetic variations may contribute to COVID-19 disease severity and suggest the product of one, the CD209 antigen, may be a potential drug target.
Researchers have shown that 70 percent of Alzheimer’s patients have high levels of proteins associated with dysfunction in the endosomal trafficking system in their spinal fluid.
The first comprehensive survey of genomics, transcriptomics, global proteomics and phosphoproteomics has revealed insights into paediatric brain tumours.
Researchers used integrative network biology analysis to identify the molecular mechanisms that may drive Alzheimer’s and identified a potential therapeutic intervention.