title: Targeted protein identification, quantification and reporting for high-resolution nanoflow targeted peptide monitoring.
abstract: Mass spectrometry-based targeted proteomic assays are experiencing a surge in awareness due to the diverse possibilities arising from the re-application of traditional LC-SRM technology. The FDA-approved quantitative LC-SRM-pipeline in drug discovery motivates the use to quantitatively validate putative proteomic biomarkers. However, complexity of biological specimens bears a huge challenge to identify, in parallel, specific peptides and proteins of interest from large biomarker candidate lists. Methods have been devised to increase scan speeds, improve detection specificity and verify quantitative SRM-features. In contrast, high-resolution mass spectrometers could be used to improve reliability and precision of targeted proteomics assays. Here, we present a new method for identifying, quantifying and reporting peptides in high-resolution targeted proteomics experiments performed on an orbitrap hybrid instrument using stable isotope-labeled internal reference peptides. This high precision targeted peptide monitoring (TPM) method has unique advantages over existing techniques, including the need to only detect the most abundant product ion of a given target for confident peptide identification using a scoring function that evaluates assay performance based on 1) m/z-mass accuracy, 2) retention time accuracy of observed species relative to prediction, and 3) retention time accuracy relative to internal reference peptides. Further, we show management of multiplexed precision TPM-assays using sentinel peptide standards. This article is part of a Special Issue entitled: From protein structures to clinical applications.
authors.affiliation: Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada. johannes.hewel@gmail.com
authors.forename: Johannes A
authors.initials: JA
authors.lastname: Hewel
authors.forename: Sadhna
authors.initials: S
authors.lastname: Phanse
authors.forename: Jian
authors.initials: J
authors.lastname: Liu
authors.forename: Nicolas
authors.initials: N
authors.lastname: Bousette
authors.forename: Anthony
authors.initials: A
authors.lastname: Gramolini
authors.forename: Andrew
authors.initials: A
authors.lastname: Emili
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000737:chemistry / Q000378:metabolism; D013058:Mass Spectrometry / Q000295:instrumentation / Q000379:methods; D051379:Mice; D009124:Muscle Proteins / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D009206:Myocardium / Q000737:chemistry / Q000378:metabolism; D010455:Peptides / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D040901:Proteomics / Q000295:instrumentation / Q000379:methods
chemical_list: D015415:Biomarkers; D009124:Muscle Proteins; D010455:Peptides