Articles tagged with Shotgun Sequencing
Researchers found a unique microbial signature in colorectal cancer samples that can accurately distinguish them from other types of cancer. This discovery has the potential to improve diagnosis and treatment outcomes for patients with colorectal cancer.
A new study has mapped the history of infectious diseases across millennia, offering insights into how human-animal interactions transformed our health landscape. The research analyzed ancient DNA from over 1,300 prehistoric individuals, revealing that zoonotic diseases became more widespread around 5,000 years ago.
Researchers found a link between gut microbiota and Parkinson's disease, revealing reduced B vitamins and intestinal barrier issues. Treatment with B vitamins could alleviate PD symptoms and slow disease progression.
A new study uses machine learning models to predict cancer patients' responses to immunotherapy based on their gut microbiome features. The research identifies common gut bacterial taxa associated with responders versus non-responders, providing a potential tool for distinguishing and predicting immunotherapy responders.
A recent study published in Annals of the Rheumatic Diseases reveals a link between systemic lupus erythematosus and an altered gut microbiome. Researchers at Osaka University identified two species of Streptococcus bacteria significantly increased in SLE patients, which can affect the body's functions by altering plasma metabolites. T...
A recent study published in Scientific Reports reveals that shotgun sequencing, a favored method for measuring microbial biodiversity, is not as accurate as once thought. Amplicon sequencing, on the other hand, revealed more than twice the number of phyla and 27% more families in water samples from Brazil's major river floodplain systems.
Researchers at UC San Diego and Genentech have developed a new shotgun protein sequencing method that reduces the time required to sequence an unknown antibody to under 36 hours. This breakthrough technique is faster than traditional methods and can automatically detect post-translational modifications.