Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics

By Blagoy Spasov Blagoev, Shao-En Ong, I. Kratchmarova, Matthias Mann. Nature Biotechnology, 2004

701 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/5f0a480d4fdd90b4cac6bf73727eab13669d4d98

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Matthias Mann
2. Chunaram Choudhary
3. Jesper V. Olsen
4. Angus I. Lamond
5. John R. Yates III
6. Florian Gnad
7. Jüergen Cox
8. Shao-En Ong

In Spectroscopy

1. Matthias Mann
2. Chunaram Choudhary
3. Jesper V. Olsen
4. John R. Yates III
5. Angus I. Lamond
6. Florian Gnad
7. Shao-En Ong
8. C. Ruse

Citations in the corpus

• Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics (2009, methodology): “Among others, combinations of multiplexing have been reported utilizing SILA”
• Breaking the chains: structure and function of the deubiquitinases (2009, background): “Several DUBs, such as USP8 and CYLD, have been shown to undergo epidermal growth factor (EGF)-dependent translocation to endosomes or association with a phosphotyrosine-associated protein interaction network (defined by anti-phosphotyrosine immunoprecipitation”
• Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. (2006, methodology): “The different kinetic profiles of the two sites now support the notion that efficient Sos dissociation from the activated EGFR-Grb2-Sos complex requires combinatorial Grb2 phosphorylation (Blagoev et al., 2004; Li et al., 2001).”
• Decoding signalling networks by mass spectrometry-based proteomics (2010, background): “Several studies monitored the dynamics of Tyr phosphorylation in response to insulin stimulation, providing an overview of receptor proximal signalling events and yielding many new insulin-regulated substrate”
• Nucleolar proteome dynamics (2005, background): “This ‘triple encoding’ procedure allows three cell states to be measured in one experimen”
• SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function. (2008, background): “The average relative standard deviation of all quantified proteins was 20% (Figure 1C), an accuracy similar to what was seen in previous SILAC quantitation experiments (Blagoev et al., 2004; Ong et al., 2003).”
• Reconstruction of cellular signalling networks and analysis of their properties (2005, neutral): “Although these approaches are only beginning to be systematically applied on a large scale, the initial results are promisin”
• Phosphotyrosine interactome of the ErbB-receptor kinase family (2005, methodology): “Ratios between tryptic phosphopeptides in their Arg0, Arg6 and Arg10 forms in the combined immunoprecipitations allowed one to monitor the abundance of these tryptic phosphopeptides as a function of time after EGF stimulation (Blagoev et al, 2004).”
• Mass spectrometry–based proteomics turns quantitative (2005, methodology): “used three different forms of arginine in SILAC to compare the phosphotyrosine proteome at five different time points of EGF stimulatio”