title: ProteinQuant Suite: a bundle of automated software tools for label-free quantitative proteomics.
abstract: In simplifying the evaluation and quantification of high-throughput label-free quantitative proteomic data, we introduce ProteinQuant Suite. It comprises three standalone complementary computer utilities, namely ProtParser, ProteinQuant, and Turbo RAW2MGF. ProtParser is a filtering utility designed to evaluate database search results. Filtering is performed according to different criteria that are defined by the end-user. ProteinQuant then utilizes this parsed list of peptides and proteins in conjunction with mzXML or mzData files generated from the raw files for quantification. This quantification is based on the automatic detection and integration of chromatographic peaks representative of the liquid chromatography/mass spectrometry (LC/MS) elution profiles of identified peptides. Turbo RAW2MGF was developed to extend the applicability of ProteinQuant Suite to data collected from different types of mass spectrometers. It directly processes raw data files generated by Xcalibur, a ThermoElectron data acquisition software, and generates a MASCOT generic file (MGF). This file format is needed since the protein identification results generated by the database search employing this file format include information required for the precise identification and quantification of chromatographic peaks. The performance of ProteinQuant Suite was initially validated using LC/MS/MS generated for a mixture of standard proteins as well as standard proteins spiked in a complex biological matrix such as blood serum. Automated quantification of the collected data resulted in calibration curves with R(2) values higher than 0.95 with linearity spanning over more than 2 orders of magnitude with peak quantification reproducibility better than 15% (RSD). ProteinQuant Suite was also applied to confirm the binding preference of standard glycoproteins to Con A lectin using a sample consisting of both standard glycoproteins and proteins.
authors.affiliation: Department of Chemistry, Indiana University, Bloomington, IN 47405, USA.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Mann
authors.forename: Milan
authors.initials: M
authors.lastname: Madera
authors.forename: Quanhu
authors.initials: Q
authors.lastname: Sheng
authors.forename: Haixu
authors.initials: H
authors.lastname: Tang
authors.forename: Yehia
authors.initials: Y
authors.lastname: Mechref
authors.forename: Milos V
authors.initials: MV
authors.lastname: Novotny
mesh_terms: D002853:Chromatography, Liquid; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D006023:Glycoproteins / Q000032:analysis; D006801:Humans; D013058:Mass Spectrometry; D010455:Peptides / Q000032:analysis; D011506:Proteins / Q000032:analysis; D040901:Proteomics / Q000379:methods*; D044967:Serum / Q000737:chemistry; D012984:Software
chemical_list: D006023:Glycoproteins; D010455:Peptides; D011506:Proteins