2013
DOI: 10.1074/mcp.m112.025031
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Protein Sets Define Disease States and Predict In Vivo Effects of Drug Treatment

Abstract: Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vivo. Using mass spectrometry, we quantitatively detected several thousands of proteins and observed significant changes in protein pathways that were (dys-) regulated in diet-induced obesity mice. Analysis of the exp… Show more

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Cited by 29 publications
(46 citation statements)
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“…In drug-treated or non-treated insulin-resistant obese mice, we observed only a subtle variation of individual protein expression for most (rather abundant) proteins. Interestingly, we observed striking consistence of RNA and protein expression on the pathway but much less on the individual gene-protein level [14]. These results strengthened the idea that physiological outcomes arise from the context-specific interaction of various biomolecules, which can be grouped in functionally "…many biological or medical phenomena we are eventually interested in are primarily based on the emerging properties and functions of structured molecular networks, influenced by environmental and stochastic factors.…”
supporting
confidence: 72%
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“…In drug-treated or non-treated insulin-resistant obese mice, we observed only a subtle variation of individual protein expression for most (rather abundant) proteins. Interestingly, we observed striking consistence of RNA and protein expression on the pathway but much less on the individual gene-protein level [14]. These results strengthened the idea that physiological outcomes arise from the context-specific interaction of various biomolecules, which can be grouped in functionally "…many biological or medical phenomena we are eventually interested in are primarily based on the emerging properties and functions of structured molecular networks, influenced by environmental and stochastic factors.…”
supporting
confidence: 72%
“…As we have shown recently, analyses of comprehensive sets of identified, well-characterized proteins can efficiently decipher functional molecular networks of complex diseases such as diet-induced insulin resistance and can help to assess drug treatments in vivo [14]. This protein set enrichment analysis approach [14][15][16] adapts the concept of gene set enrichment analysis [17], a popular bioinformatics tool to determine whether an a priori defined set of related biomolecules indicates statistically significant, concordant differences between various biological states (more information can be found at [101]). Gene or protein sets can be defined by the researcher, for example, by consulting various publicly available pathway databases.…”
mentioning
confidence: 99%
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“…Lysates were sonicated for 1 min, boiled at 95°C for 5 min and precipitated with acetone at Ϫ20°C overnight. Lyophilized proteins were dissolved in 8 M urea, 10 mM Tris, pH 8, alkylated with a final concentration of 5.5 mM chloroacetamide for 30 min and Lys-C digested (1:2000) for 4 h at room temperature followed by a trypsin digestion (1:1000) overnight in 2 M urea at 37°C (23). Subsequent, the peptides were purified with C18 columns.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, samples were fractionated by strong cation exchange (SCX) chromatography. Five g of each fraction were again used for proteome profiling, whereas the remaining sample was used for TiO 2 (GL Sciences, Torrance, CA) enrichment of phosphorylated peptides, according to (23). All SAX and SCX fractions, as well as the PTM scans, were allocated to the corresponding replicate and analyzed jointly by MaxQuant (Fig.…”
Section: Methodsmentioning
confidence: 99%