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Irina Kratchmarova
Researcher at University of Southern Denmark
Publications - 64
Citations - 12355
Irina Kratchmarova is an academic researcher from University of Southern Denmark. The author has contributed to research in topics: Stable isotope labeling by amino acids in cell culture & Proteomics. The author has an hindex of 28, co-authored 64 publications receiving 11664 citations. Previous affiliations of Irina Kratchmarova include Odense University.
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Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.
Shao En Ong,Blagoy Blagoev,Irina Kratchmarova,Dan B. Kristensen,Hanno Steen,Akhilesh Pandey,Matthias Mann +6 more
TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
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Specificity in Toll-like receptor signalling through distinct effector functions of TRAF3 and TRAF6
Hans Häcker,Vanessa Redecke,Blagoy Blagoev,Irina Kratchmarova,Li-Chung Hsu,Gang Greg Wang,Mark P. Kamps,Eyal Raz,Hermann Wagner,Georg Häcker,Matthias Mann,Michael Karin +11 more
TL;DR: It is shown that TRAF3 is essential for the induction of type I interferons (IFN) and the anti-inflammatory cytokine interleukin-10 (IL-10), but is dispensable for expression of pro- inflammatory cytokines, owing to defective IL-10 production.
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A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling
Blagoy Blagoev,Irina Kratchmarova,Shao En Ong,Mogens Brøndsted Nielsen,Leonard J. Foster,Matthias Mann +5 more
TL;DR: Stable isotopic amino acids in cell culture is employed to differentially label proteins in EGF-stimulated versus unstimulated cells and SILAC combined with modification-based affinity purification is a useful approach to detect specific and functional protein-protein interactions.
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Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics.
TL;DR: A mass spectrometric method is developed that converts temporal changes to differences in peptide isotopic abundance and provides an informative perspective on cell signaling and will be crucial to modeling signaling networks in a systems biology approach.
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Mechanism of Divergent Growth Factor Effects in Mesenchymal Stem Cell Differentiation
Irina Kratchmarova,Blagoy Blagoev,Blagoy Blagoev,Mandana Haack-Sørensen,Mandana Haack-Sørensen,Moustapha Kassem,Moustapha Kassem,Matthias Mann,Matthias Mann +8 more
TL;DR: It is found that the differentiation of human mesenchymal stem cells into bone-forming cells is stimulated by epidermal growth factor but not platelet-derived growth factor (PDGF).