Evosep webinar
Whisper zoom combines ease-of-use and simplicity for routine, high-sensitivity workflows
Thursday, december 12 at 16:00-17:00 CET (4:00-5:00 PM EST)
Whisperâ„¢ Zoom is designed to push the boundaries of sensitivity in proteomics, enabling you to work with even the most limited samples while maintaining high data quality.
Join this webinar to learn more about our latest advencement for the Whisper Zoom methods, enabling sensitive and scalable workflows.
Single-cell proteomics profiling of pancreatic islets from healthy, type 1 diabetes donors, and stem cell-derived model using whisper zoom
Talk by Pierre Sabatier, Researcher at Novo Nordisk Foundation Center for Protein Research, University of Copenhagen.
Combining the Evo 96 proteochip workflow on the cellenONE sorter and whisper zoom on the Evosep One, we profiled single pancreatic islets cells from healthy, type 1 diabetes donors, and in a stem cell-derived model. We quantified 3000-4000 proteins per cell despite their small size, allowing cell-type identification by markers, including insulin, glucagon, somatostatin, and pancreatic polypeptide. We uncover key biological features such as elevated levels of TNF-α in T1D cells pointing to ongoing inflammation and markers indicating the lack of maturation of stem cell-derived islets. Our study reveals disease-relevant insights and explore cellular diversity within pancreatic islets.
Recommendations for Quantitative Proteomics using Data Independent Acquisition-Lessons from Controlled Quantitative Experiments
Talk by Andrew Frey, Postdoctoral Research Associate at Newcastle University
Efficacy of protein quantitation is seeing increased interest in the proteomics community-especially in novel methods where low sample input or high throughput is considered. Here, we perform a series of controlled quantitative experiments (CQEs), subjecting defined proteome mixtures to Whisper Zoom 20SPD and diaPASEF on an Evosep LC in line with a timsToF-HT. We identified >10,000 unique proteins and >160,000 precursors across samples. Post processing was found to have drastic impacts on ID rates, quantitative precision and accuracy. We present recommendations for data processing, and advice on the use of CQEs when assessing quantitative efficacy in novel modes of acquisition.