A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling
By I. Kratchmarova, Shao-En Ong, M. Nielsen, L. Foster, Matthias Mann. Nature Biotechnology, 2003
725 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3b2ffd62b33af71326f5c57db9dc434a2975b5f6
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In Molecular Biology
- Matthias Mann
- R. Aebersold
- Chunaram Choudhary
- Jüergen Cox
- Shao-En Ong
- Jesper V. Olsen
- Juri Rappsilber
- Lars Juhl Jensen
Citations in the corpus
- Quantitative Phosphoproteomics Applied to the Yeast Pheromone Signaling Pathway*S (2005, methodology): “We and another group have described stable isotope labelling by amino acids in cell culture (termed SILAC and SIL, respectively) as a generic quantitative proteomics technology [26-28], and applied SILAC to determine signal induced multiprotein complexes, protein-protein interactions and the time or”
- Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. (2006, background): “…ª2006 Elsevier Inc. 635 downstream protein kinases and their substrates (Hunter, 2000; Pawson and Nash, 2003), and several MS studies have focused on tyrosine-phosphorylation ‘‘early events’’ after growth-factor treatment (Blagoev et al., 2003, 2004; Kratchmarova et al., 2005; Zhang et al., 2005).”
- The beginning of a beautiful friendship: cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes (2010, background): “This approach is well established in proteomics and relies on incorporating stable isotopes, for example by amino acids in cell culture (SILAC) (Ong et al., 2002, 2003; Blagoev et al., 2003).”
- Phosphotyrosine interactome of the ErbB-receptor kinase family (2005, background): “The approach taken in this study is thus complementary to other proteomic approaches in which whole signaling complexes are identified (see, e.g., Blagoev et al, 2003).”
- Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics (2004, background): “but also for differential labeling of protein populations in functional experiment”
- Computational prediction of proteotypic peptides for quantitative proteomics (2007, background): “, revealed new components and changes in the composition of protein complexes and organelle”
- Protein interaction networks from yeast to human. (2004, background): “Also, many smaller regions of protein interaction networks were explored in detail, such as the EGF (epidermal growth factor) signaling pathway [23] and interactions among bZIP proteins [24].”
- The abc's (and xyz's) of peptide sequencing (2004, background): “Recent developments now make it possible to determine more transient and signal-dependent interaction”
- Mass spectrometry–based proteomics turns quantitative (2005, background): “Quantitative proteomics can break this yin and yang of protein biochemistr”
- A practical recipe for stable isotope labeling by amino acids in cell culture (SILAC) (2006, methodology): “In mammalian culture systems, it has been applied to detect specific biological changes in functional proteomics assay”
- Decoding signalling networks by mass spectrometry-based proteomics (2010, background): “SILAC-based quantification of EGF-stimulated versus non-stimulated cells then distinguished specific protein interactors — those binding owing to EGF-mediated EGFR activation — from hundreds of background proteins that bound to the bait or bead”
- Exponentially Modified Protein Abundance Index (emPAI) for Estimation of Absolute Protein Amount in Proteomics by the Number of Sequenced Peptides per Protein*S (2005, background): “Recently not only comprehensive quantitation studies between two states (5, 6) but also protein-protein ( 7 , 8), protein-peptide (9), and protein-drug (10) interaction analyses have been reported.”