Biomarkers for predicting COVID-19 disease severity
Scientists have created a prognostic classification model which uses biomarkers to help predict an individual’s risk of developing severe COVID-19 symptoms.
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Scientists have created a prognostic classification model which uses biomarkers to help predict an individual’s risk of developing severe COVID-19 symptoms.
This article provides a brief overview of the technical and conceptual advantages of Raman spectroscopy, a label-free imaging technique that is being increasingly used for the purpose of drug evaluation.
Researchers have treated diffuse intrinsic pontine glioma (DIPG), a fatal childhood brain cancer, in mice by targeting two metabolic pathways.
A group of researchers has found that SARS-CoV-2 may not spread by faecal-to-oral transmission, but is able to infect the gastrointestinal tract via the TMPRSS2 and TMPRSS4 enzymes.
A study has shown that two products of bacterial bile metabolism boost the conversion of precursor T cells into peripheral Tregs, which suppress chronic inflammation in the colon.
A label-free imaging technology has been developed by researchers, allowing them to investigate biomolecules such as metabolites, aiding in the study of drugs.
A new signalling pathway has been identified that may help further the understanding of blood clot formation in cancer patients and presents a new drug target for reducing cancer-associated complications.
Researchers have created a new high-throughput screening system which could identify new drugs by focusing on nucleotide metabolism.
A study has shown that a group of cells called adipose B cells can become dysfunctional with age, causing metabolic conditions such as diabetes, which has provided a drug target.
A study has revealed that the mitoNEET protein controls a metabolic and functional gateway on mitochondria, which could provide a drug target for cancer.
New method for computational mass spectrometry will speed up the discovery of natural products that could be used in medicines...
Many bioanalytical labs work with a crowded and siloed set of systems and processes. From part electronic to part paper-based workflows to standalone point-solutions, the result is a lack of insight into data and slower reporting and results handling.
This application note aims to demonstrate the benefits of using orthogonal approaches for studying Staphylococcus aureus biofilms—in particular, their susceptibility to antimicrobial agents...
Researchers show the first example of a base-editing tool to treat a disease in utero in animal models...
As the pace of genetic approaches to combating cancer slows, researchers are focusing on novel approaches to identify and create metabolic liabilities in cells. Cancer cells rewire their metabolism to survive and proliferate rapidly; however, there is no single metabolic phenotype that enables this rewired state.