Workflows and software tools for peptide mapping have been extensively optimized and simplified for widespread use. However, top-down and middle-down workflows, despite offering valuable proteoform information not obtainable by peptide mapping, remain demanding in terms of user expertise as well as instrument setup, data analysis, and result validation. Current software offerings have also not been tailored to address targeted protein characterization workflows, often necessitating multiple software tools to accomplish data analysis. To move toward routine intact protein characterization workflows with a single software tool, an automated platform named Proteoform Studio is introduced here. Proteoform Studio features a complete analysis pipeline, allowing a user to set up instrument runs, modify acquisition methods, rapidly deconvolute data to define intact mass features, search results to identify proteoforms, and obtain the highest quality proteoform characterization through automated aggregation of fragmentation results. Additionally, fragment ion matching settings for signal-to-noise ratio and isotope fit score were identified that produced automated matching results well-aligned with manual validation results, thereby reducing the need for time-consuming manual verification. With Proteoform Studio analysis, >80% sequence coverage of light chain (Lc) and the N-terminal portion of heavy chain (Fd) antibody subunits was achieved in an automated fashion using a middle-down approach. These sequence coverage results utilized aggregation of spectral results from different fragmentation methods to take advantage of complementary fragment ion formation. Overall, introducing software to automate antibody subunit analysis will lower barriers to entry and eliminate data analysis bottlenecks, driving adoption in biopharmaceutical assays and ultimately leading to more precise characterization of therapeutic proteoform landscapes.
Carfagno et al. (2026) studied this question.