The latest version of DIA-NN software identifies more than 5000 proteins – 200 times a day on the Evosep One
Proteomics is a field in continuous development, where robust and optimized processes throughout the entire workflow – from sample preparation to acquisition strategies and downstream data processing are the goal. In recent years, data independent workflows have gained increased interest due to its high degree of reproducibility, better sensitivity and accuracy for quantification compared to classic data-dependent workflows.
Evosep One facilitates rapid and comprehensive maps of the subcellular proteome and phospho-proteome dynamics
Dynamic change in subcellular localization of signaling proteins is a general concept that eukaryotic cells evolved for eliciting a coordinated response to stimuli. Mass spectrometry (MS)-based proteomics in combination with subcellular fractionation can provide comprehensive maps of spatio-temporal regulation of cells, but involves laborious workflows that does not cover the phospho-proteome level.
Breakthrough paper by the Mann group demonstrates that single-cell proteomics is now a reality to address important questions in cell biology
Single-cell technologies are revolutionizing biology but have so far mainly been limited to imaging and deep sequencing. However, proteins are the main drivers of cellular function and in-depth characterization of individual cells by mass spectrometry (MS)- based proteomics would thus be highly valuable and complementary.
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.
