Evosep Webinar
Deep Visual Proteomics
available on demand
Discover how cutting-edge imaging and LC-MS technologies combine to reveal protein expression patterns with unprecedented depth, precision, and biological context.
Meet our speakers
From Normal to Neoplastic: Deep Visual Proteomics for Precision Oncology
Talk by Lisa Schweizer, Head of Deep Visual Proteomics at OmicVision Biosciences
Understanding the origins of malignant cell growth remains a major clinical challenge. Deep Visual Proteomics (DVP) has previously proven powerful in elucidating the molecular mechanisms driving the transition from non-invasive to malignant low-grade serous ovarian cancer. Next, we combine DVP with novel pathology foundation models to systematically characterize the cellular origins of pancreatic ductal adenocarcinoma (PDAC). Using the EvosepONE system and the Orbitrap Astral Mass Spectrometer (MS), we identified more than 6,000 proteins from 100 phenotype-matched cells spanning early and non-malignant PDAC precursor lesions (panINs), PDAC tumor and healthy counterparts. Molecular reprogramming begins before any visible histological change, driven by several core programs in the aberrant cells and their environment. The protein KRAS is a defining oncogenic driver of PDAC and has recently re-emerged as main target for drug development. We show that MS-based peptide profiling identifies multiple KRAS variants and lesion polyclonality independent of genetic sequencing. Our data enable detailed spatially-resolved insights into the landscape of PDAC tumorigenesis and present potential therapeutic targets.
Exceeding 100 spatially-resolved proteomes per day: An optimized ultrasensitive tissue proteomics workflow
Talk by Melissa Klingeberg, PHD Student at Max Delbrück Center, Spatial Proteomics Group, Berlin
Spatial proteomics (SP) enables precise mapping of protein abundance, localization, and interactions in tissues, offering deep insights into cellular function and disease. We co-developed Deep Visual Proteomics (DVP), integrating high-resolution microscopy, AI-driven image analysis, and laser microdissection with deep proteomic profiling. Here, I will present an optimized cellenONE protocol for loss-minimized tissue processing, benchmarked across all Evosep ONE Whisper Zoom gradients and three DIA methods on the timsUltra AIP. Our results demonstrate the feasibility of acquiring over 100 high-quality spatial proteomes per day—paving the way for large-scale, translational SP studies.
