Ryan T. Fellers

This paper introduces a top-down mass spectrometry workflow with DMTm technology and a new software platform to achieve deeper proteoform sequencing and improved sequence coverage.

MSModDetector identifies PTM patterns in individual ion mass spectrometry data by detecting mass shifts and using linear programming to infer modifications.

The paper uses linear programming to estimate modform distributions of proteins with multiple post-translational modifications, showing that combining bottom-up and top-down MS data reduces average modform range.

The paper uses a multi-modal proteomics approach to analyze PTMs of p53, revealing many modification sites but few distinct modified forms.