Mass spectrometry-based proteomics

By R. Aebersold, Matthias Mann. Nature, 2003

6,824 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/9bd71270bb9f05cd9d11659dd45ea0b5c7794950

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Citations in the corpus

Deciphering Protein–Protein Interactions. Part I. Experimental Techniques and Databases (2007, neutral): “identification of polypeptide sequences [36,52,53] (Figure 1B).”
iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* (2011, background): “From these spectra, the peptides and then the proteins present in the sample and, in conjunction with quantification strategies, their relative or absolute quantities can be determined (1).”
Analysis and validation of proteomic data generated by tandem mass spectrometry (2007, background): “Although this goal has remained elusive, significant progress has been made in the development of an array of technologies for proteome analysis and their application to biological and clinical researc”
Elucidating mechanisms of drug-induced toxicity (2005, methodology): “The integration of mass spectrometry (MS) with protein- and peptide-separation technologies enables high-throughput characterization of complex proteomes and protein modification”
Quantitative Phosphoproteomics Applied to the Yeast Pheromone Signaling Pathway*S (2005, background): “labile modification. In mass spectrometry-driven activated proteomics, protein identification is based on peptide fragmentation by collisionally activated tandem mass spectrometry (MS/MS) ( 13 , 14) where cleavages of covalent bonds mainly occur through the lowest energy pathways (15).”
The biological impact of mass-spectrometry-based proteomics (2007, methodology): “Among proteomic techniques, however, mass spectrometry has emerged as the main method for analysing the production and function of proteins in native biological system”
Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. (2006, methodology): “, hypothesis-free) analysis of in vivo phosphorylation (Aebersold and Mann, 2003; Chen and White, 2004; Ficarro et al., 2002; Mumby and Brekken, 2005; Rush et al., 2005; Salomon et al., 2003; Stover et al., 2004).”
Systematic discovery of in vivo phosphorylation networks. (2007, background): “Decades of targeted biochemical studies and recent experiments employing mass spectrometry (MS) techniques have identiﬁed thousands of in vivo phosphorylation sites (Aebersold and Mann, 2003).”
Decision Tree-Driven Tandem Mass Spectrometry for Shotgun Proteomics (2008, result): “Sequential CAD and ETD identified fewer proteins than any of the methods (1,459), and this was substantially fewer than identified with the DT (1,927 and 1,870 for two technical replicates; Supplementary Table 1).”
Correlation of mRNA and protein in complex biological samples (2009, neutral): “In recent years, mass spectrometry techniques for the identiﬁ-cation and quantiﬁcation of complex biological samples have advanced tremendously [20,21].”
Statistical and Computational Methods for Comparative Proteomic Profiling Using Liquid Chromatography-Tandem Mass Spectrometry (2005, methodology): “The quality of profiling studies is determined by the overall sensitivity, detection coverage, dynamic range, fragmentation efficiency, mass resolution, and accuracy (6).”
Mapping protein post-translational modifications with mass spectrometry (2007, methodology): “For an introduction to fundamental principles of mass spectrometry–based proteomics, we refer the reader to excellent reviews and web resources summarizing MS instruments, data collection and data reductio”