title: Morpheus Spectral Counter: A computational tool for label-free quantitative mass spectrometry using the Morpheus search engine.
abstract: Label-free quantitative MS based on the Normalized Spectral Abundance Factor (NSAF) has emerged as a straightforward and robust method to determine the relative abundance of individual proteins within complex mixtures. Here, we present Morpheus Spectral Counter (MSpC) as the first computational tool that directly calculates NSAF values from output obtained from Morpheus, a fast, open-source, peptide-MS/MS matching engine compatible with high-resolution accurate-mass instruments. NSAF has distinct advantages over other MS-based quantification methods, including a greater dynamic range as compared to isobaric tags, no requirement to align and re-extract MS1 peaks, and increased speed. MSpC features an easy-to-use graphic user interface that additionally calculates both distributed and unique NSAF values to permit analyses of both protein families and isoforms/proteoforms. MSpC determinations of protein concentration were linear over several orders of magnitude based on the analysis of several high-mass accuracy datasets either obtained from PRIDE or generated with total cell extracts spiked with purified Arabidopsis 20S proteasomes. The MSpC software was developed in C# and is open sourced under a permissive license with the code made available at http://dcgemperline.github.io/Morpheus_SpC/.
authors.affiliation: Department of Genetics, University of Wisconsin, Madison, Wisconsin, USA.
authors.forename: David C
authors.initials: DC
authors.lastname: Gemperline
authors.affiliation: Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA.
authors.forename: Mark
authors.initials: M
authors.lastname: Scalf
authors.affiliation: Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA.
authors.forename: Lloyd M
authors.initials: LM
authors.lastname: Smith
authors.affiliation: Department of Genetics, University of Wisconsin, Madison, Wisconsin, USA.|Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA.
authors.forename: Richard D
authors.initials: RD
authors.lastname: Vierstra
mesh_terms: D029681:Arabidopsis Proteins / Q000032:analysis / Q000737:chemistry; D002853:Chromatography, Liquid / Q000379:methods*; D016014:Linear Models; D040901:Proteomics / Q000379:methods*; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D029681:Arabidopsis Proteins
keywords: Bioinformatics; LC-MS/MS; Label-free quantification; Morpheus