To identify the possible proteins involved in the processes of obesity, we performed a proteomic analysis of obesity-induced mouse liver. Male C57BL/6J mice that were fed a high-fat diet (HFD) for 24wk, developed hepatic steatosis characterized by considerable increase in free fatty acid (FFA) and triglyceride levels. Body weights were measured weekly and other measurements at weeks 2, 6, 12, 16, and 24. 2-D-based proteomic analysis revealed that, compared with the normal diet (ND) (n=50), high-fat diet (n=50) changed the expression of 12 protein (8 up and 4 downregulated, by a 1.5 x fold change and more, p<0.05). The most pronounced difference was observed in Oligomycin A intermediate

GDC-0449 research buy microfilament (IF) cytoskeleton proteins. In particular, vimentin (vim) as well as cytokeratins (CK-8 and CK-18) were significantly upregulated in obese animals. Moreover, the level of caspase-generated IF fragment was also positively correlated with the degree of steatosis. The results suggest a significant alteration in IF organization during the development of hepatic steatosis leading to inflammation. The

expression profile of selected proteins including vim was validated by Western blot, microarray analysis, and hepatocyte morphology by immunohistochemistry. Our results suggest that vim, like CK-18, may be a useful marker for predicting obesity and liver disease.”
“Normalized spectral index quantification was recently presented as an accurate method of label-free quantitation, which improved spectral counting by incorporating the intensities of peptide MS/MS fragment ions into the calculation of protein abundance. We present SINQ, a tool implementing this method within the framework of existing analysis software, our freely available central proteomics facilities pipeline (CPFP). We demonstrate,

using data sets of protein standards acquired on a variety of mass spectrometers, that SINQ can rapidly provide useful estimates of the absolute quantity of proteins present in a medium-complexity sample. In addition, relative quantitation of standard proteins spiked into a complex lysate Liothyronine Sodium background and run without pre-fractionation produces accurate results at amounts above 1 fmol on column. We compare quantitation performance to various precursor intensity-and identification-based methods, including the normalized spectral abundance factor (NSAF), exponentially modified protein abundance index (emPAI), MaxQuant, and Progenesis LC-MS. We anticipate that the SINQ tool will be a useful asset for core facilities and individual laboratories that wish to produce quantitative MS data, but lack the necessary manpower to routinely support more complicated software workflows. SINQ is freely available to obtain and use as part of the central proteomics facilities pipeline, which is released under an open-source license.