Mass spectrometry–based proteomics turns quantitative

By Shao-En Ong, Matthias Mann. Nature Chemical Biology, 2005

1,624 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/3756cdc776f7264cba8d853bc01e5bf063c2585c

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Citations in the corpus

The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins (2006, methodology): “If high throughput and quantitative mass spectrometric techniques (for review see [58]) are combined with the methods we employed in the present study, then the rich catalog of urinary proteins now accessible should result in ample opportunity to discover disease biomarkers.”
Less label, more free: Approaches in label‐free quantitative mass spectrometry (2011, background): “D A V ID (i ) M ic ro a rr a y [1 5 2 , 1 5 3 ]”
Proteomics by mass spectrometry: approaches, advances, and applications. (2009, methodology): “For the stable isotope labeling by amino acids in cell culture (SILAC) approach, cell media contain (13)C6-Lys and (13)C6, and (15)N4-Arg for comprehensive labeling of tryptic cleavage products (166).”
MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification (2008, methodology): “In a quantitative proteomics experiment using stable isotopes, peptide and protein ratios are obtained by direct comparison of the signals of the 'light' and 'heavy' isotope in the same LC ru”
Selected reaction monitoring for quantitative proteomics: a tutorial (2008, methodology): “The isotopic label should be introduced in the processing workflow as early as possible to increase the number of steps that are being controlled and decrease the technical variability (Ong and Mann, 2005).”
The Skyline Ecosystem: Informatics for Quantitative Mass Spectrometry Proteomics (2017, background): “To meet these ends, tandem mass spectrometry (MS/MS) has emerged as the dominant analytical platform for the direct characterization of the protein fraction from complex biological matrices (Ong and Mann 2005).”
Decoding signalling networks by mass spectrometry-based proteomics (2010, background): “In metabolic labelling, cells incorporate the isotopic label as part of normal biosynthesi”
Selective anchoring of TFIID to nucleosomes by trimethylation of histone H3 lysine 4. (2007, methodology): “We have previously used quantitative proteomics to dissect regulatory pathways (Mann, 2006; Olsen et al., 2006; Ong and Mann, 2005).”
Artificial intelligence in cancer target identification and drug discovery (2022, methodology): “The scope of arti ﬁ cial intelligence analysis to explore novel anticancer targets consists of epigenetics 54 , genomics 57 , proteomics 74 , metabolomics 34 , etc.”
Target identification with quantitative activity based protein profiling (ABPP) (2017, background): “Quantitative proteomics measures, in a high-throughput manner, abundance changes of many proteins in multiple samples [46].”
In-gel digestion for mass spectrometric characterization of proteins and proteomes (2006, neutral): “Furthermore, combined with quantitative proteomics method”
SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function. (2008, background): “Mass spectrometry (MS) is not inherently quantitative, and relative protein expression changes are instead most accurately measured by comparison of the natural form of a peptide with its stable isotope analog (Ong and Mann, 2005).”