In the present study, the effect of a high fat diet on the expression of proteins in insulin target tissues was analyzed using a proteomic approach. Gastrocnemius muscle, white and brown adipose tissue, and liver were taken from C57BL/6 mice either fed on a high-fat or a chow diet. Expression levels of approximately 10 000 polypeptides for all the four tissues were assessed by two-dimensional gel electrophoresis (2-DE). Computer-assisted image analysis allowed the detection of 50 significantly (p < 0.05) differentially expressed proteins between obese and lean mice. Interestingly, more than half of these proteins were detected in the brown adipose tissue. The differentially expressed proteins were identified by tandem mass spectrometry. Several stress and redox proteins were modulated in response to the high-fat diet. A key glycolytic enzyme was found to be downregulated in adipose tissues and muscle, suggesting that at elevated plasma fatty acid concentrations, fatty acids compete with glucose as an oxidative fuel source. Furthermore, in brown adipose tissue there were significant changes in mitochondrial enzymes involved in the Krebs tricarboxylic acid (TCA) cycle and in the respiratory chain in response to the high-fat diet. The brown adipose tissue is an energy-dissipating tissue. Our data suggest that the high-fat diet treated mice were increasing energy expenditure to defend against weight gain.

A number of two-dimensional electrophoresis (2-DE) reference maps from mouse samples have been established and could be accessed through the internet. An up-to-date list can be found in WORLD-2D PAGE (http://www.expasy.ch/ch2d/2d- index.html), an index of 2-DE databases and services. None of them were established from mouse white and brown adipose tissues, pancreatic islets, liver nuclei and skeletal muscle. This publication describes the mouse SWISS-2D PAGE database. Proteins present in samples of mouse (C57BI/6J) liver, liver nuclei, muscle, white and brown adipose tissue and pancreatic islets are assembled and described in an accessible uniform format. SWISS-2D PAGE can be accessed through the World Wide Web (WWW) network on the ExPASy molecular biology server (http://www.expasy.ch/ ch2d/).

The insulin sensitizer drug, rosiglitazone, has been shown to have a protective effect on pancreatic islet cell structure and function in animal models of type 2 diabetes. The identification of new molecular targets associated both with islet cell dysfunction and protection is a crucial research goal. In the present study, a proteomics approach has been used to identify such targets. Obese C57Bl/6J lep/lep mice and lean littermates were given the insulin sensitizer drug BRL49653, rosiglitazone. It normalized the impaired glucose tolerance in lep/lep mice but had no significant effect on glucose tolerance in the lean mice. Pancreatic islet polypeptides were arrayed by a two-dimensional gel electrophoresis system that separated more than 2500 individual spots. Three overexpressed and six underexpressed proteins were significant (p < 0.05) between lep/lep and lean mice, and four were modulated significantly (p < 0.05) by the rosiglitazone treatment of the obese mice. The identity of these differentially expressed proteins was made using mass spectrometric analysis and provided evidence that differential expression of actin-binding proteins may be an important aspect of defective islet function. Rosiglitazone increased carboxypeptidase B expression in both lep/lep and normal mice suggesting that this might be an independent effect of rosiglitazone that contributes to improved insulin processing.

A number of two-dimensional electrophoresis (2-DE) reference maps from mouse samples have been established and could be accessed through the internet. An up-to-date list can be found in WORLD-2D PAGE (http://www.expasy.ch/ch2d/2d- index.html), an index of 2-DE databases and services. None of them were established from mouse white and brown adipose tissues, pancreatic islets, liver nuclei and skeletal muscle. This publication describes the mouse SWISS-2D PAGE database. Proteins present in samples of mouse (C57BI/6J) liver, liver nuclei, muscle, white and brown adipose tissue and pancreatic islets are assembled and described in an accessible uniform format. SWISS-2D PAGE can be accessed through the World Wide Web (WWW) network on the ExPASy molecular biology server (http://www.expasy.ch/ ch2d/).

Hydrophobic proteins are difficult to analyze by two-dimensional electrophoresis (2-DE) because of their intrinsic tendency to self-aggregate during the first dimension (isoelectric focusing, IEF) or the equilibration steps. This aggregation renders their redissolution for the second dimension uncertain and results in the reduction of the number and intensity of protein spots, and in undesirable vertical and horizontal streaks across gels. Trifluoroethanol (TFE) is traditionally used at high concentration to solubilize peptides and proteins for NMR studies. Depending upon its concentration, TFE strongly affects the three-dimensional structure of proteins. We report here a phase separation system based on TFE/CHCl(3), which is able to extract a number of intrinsic membrane proteins. The addition of TFE in the in-gel sample rehydration buffer to improve membrane protein IEF separation is also presented. The procedure using urea, thiourea, and sulfobetaine as chaotropic agents was modified by the addition of TFE and removing of sulfobetaine at an optimized concentration in the solubilization medium used for the first dimension. When using membrane fractions isolated from Escherichia coli, the intensity and the number of spots detected from 2-DE gels that used TFE in the solubilization medium were significantly increased. The majority of the proteins identified using peptide mass fingerprinting and tandem mass spectrometry (MS/MS) were intrinsic membrane proteins, proteins of beta barrel structure or transmembrane proteins.

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Peroxisome proliferator-activated receptors (PPARs) participate in the molecular mechanism of pathologies with altered lipid homeostasis such as type 2 diabetes or obesity. The insulin sensitizer drug, rosiglitazone, has been shown to bind and activate PPAR-gamma1 in adipocytes and PPAR-gamma2 in hepatocytes. The identification of new molecular targets associated with fatty acid oxidation and PPAR-gamma nuclear receptor regulation in insulin resistance tissues is a key research goal. In the present study, we have used a proteomic approach to identify such targets. Lean and obese C57 Bl/6J lep/lep mice were given BRL49653, rosiglitazone, 10 mg/kg diet, by dietary admixture for 7 days. Rosiglitazone normalized the impaired glucose tolerance and dyslipidemia in lep/lep mice but had no significant effect in the lean mice. Samples of liver, white and brown adipose tissue, and muscle proteins were obtained and 100 microg of proteins was arrayed by two-dimensional gel electrophoresis. Thirty-four polypeptides were differentially expressed (p < 0.05) between lep/lep and lean mice and eleven were significantly (p < 0.05) modulated by rosiglitazone treatment of the obese mice. None of the proteins was modulated by rosiglitazone treatment of the lean mice. The identity of these differentially expressed proteins was made using tandem mass spectrometric analysis and revealed components of fatty acid and carbohydrate metabolism as well as proteins with unknown function.

Protein identification using automated data-dependent tandem mass spectrometry (MS/MS) is now a standard procedure. However, in many cases data-dependent acquisition becomes redundant acquisition as many different peptides from the same protein are fragmented, whilst only a few are needed for unambiguous identification. To increase the quality of information but decrease the amount of information, a nonredundant MS (nrMS) strategy has been developed. With nrMS, data analysis is an integral part of the overall MS acquisition and analysis, and not an endpoint as typically performed. In this nrMS workflow a matrix assisted laser desorption/ionization-time of flight-time of flight (MALDI-TOF/TOF) instrument is used. MS and restricted MS/MS data are searched and identified proteins are used to generate an "exclusion list", after in silico digestion. Peptide fragmentation is then restricted to only the most intense ions not present in the exclusion list. This process is repeated until all peaks are accounted for or the sample is consumed. Compared to nanoLC-MS/MS, nrMS yielded similar results for the analysis of six pooled two-dimensional electrophoresis (2-DE) spots. In comparison to standard data-dependent MALDI-MS/MS for sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gel band analysis, nrMS dramatically increased the number of identified proteins. It was also found that this new workflow significantly increased sequence coverage by identifying unexpected peptides, which can result from post-translational modifications.