Detecting Scarce Isoform-specific Peptides Using Next-Gen Protein Sequencing

This case study documents the research conducted by Dr. Gloria Sheynkman and her team at the University of Virginia, focusing on the detection of proteoform variations using Next-Gen Protein Sequencing (NGPS™). The study outlines the challenges faced in identifying proteoforms, including issues with sensitivity, throughput, and sample preparation. The document explains how NGPS™ integrates with existing mass spectrometry techniques to enhance the detection of proteoforms at the single-molecule level, allowing for the identification of subtle amino acid variations that may significantly impact protein function. The case study also details the innovative use of long-read RNA sequencing and advanced analytical methods to predict full-length protein isoforms and their roles in disease mechanisms. Furthermore, it discusses the advantages of the Quantum-Si Platinum® instrument in overcoming limitations associated with traditional proteomics methods, emphasizing its potential for personalized medicine and the discovery of disease-associated proteoforms.