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Title: The Analysis of Peptide-Centric Mass-Spectrometry Data Utilizing Information About the Expected Isotope Distribution
Authors: BURZYKOWSKI, Tomasz 
CLAESEN, Jurgen 
Issue Date: 2017
Publisher: Springer International Publishing
Source: Datta, Susmitta; Mertens, Bart J.A. (Ed.). Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, Springer International Publishing, p. 45-64
Series/Report: Frontiers in Probability and the Statistical Sciences
Abstract: In shotgun proteomics, much attention and instrument time is dedicated to the generation of tandem mass spectra. These spectra contain information about the fragments of, ideally, one peptide and are used to infer the amino acid sequence of the scrutinized peptide. This type of spectrum acquisition is called a product ion scan, tandem MS, or MS2 spectrum. Another type of spectrum is the, often overlooked, precursor ion scan or MS1 spectrum that catalogs all ionized analytes present in a mass spectrometer. While MS2 spectra are important to identify the peptides and proteins in the sample, MS1 spectra provide valuable information about the quantity of the analyte. In this chapter, we describe some properties of MS1 spectra, such as the isotope distribution, and how these properties can be employed for low-level signal processing to reduce data complexity and as a tool for quality assurance. Furthermore, we describe some cases in which advanced modeling of the isotope distribution can be used in quantitative proteomics analysis.
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ISBN: 9783319458076
DOI: 10.1007/978-3-319-45809-0_3
Rights: Springer International Publishing Switzerland
Category: B2
Type: Book Section
Validations: vabb 2019
Appears in Collections:Research publications

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