Proteomics outperforms established tests for detecting three stages of liver disease
In collaboration with Odense University Hospital in Denmark, the Mann group at Novo Nordisk Foundation Center for Protein Research have developed a machine learning model based on their biomarker panel, which for the first time outperforms existing tests, laying the foundation for a generic proteomics liver health assessment.
High-throughput methods for phosphotyrosine signaling
The need for scalable methods for functional annotation of phosphotyrosine sites has led the Olsen group, Novo Nordisk Foundation Center for Protein Research in Copenhagen, to develop a new mass spectrometry-based workflow for high-throughput analyses. In a recent study, they implemented this new workflow used to describe how cancer mutations close to tyrosine phosphorylation sites in the EGF receptor rewire signaling pathways by switching protein interactors.
