Characterization of the role of the Rab GTPase-activating protein AS160 in insulin-regulated GLUT4 trafficking

Insulin stimulates the translocation of the glucose transporter GLUT4 from intracellular vesicles to the plasma membrane. In the present study we have conducted a comprehensive proteomic analysis of affinity-purified GLUT4 vesicles from 3T3-L1 adipocytes to discover potential regulators of GLUT4 trafficking. In addition to previously identified components of GLUT4 storage vesicles including the insulin-regulated aminopeptidase insulin-regulated aminopeptidase and the vesicle soluble N-ethylmaleimide factor attachment protein (v-SNARE) VAMP2, we have identified three new Rab proteins, Rab10, Rab11, and Rab14, on GLUT4 vesicles. We have also found that the putative Rab GTPase-activating protein AS160 (Akt substrate of 160 kDa) is associated with GLUT4 vesicles in the basal state and dissociates in response to insulin. This association is likely to be mediated by the cytosolic tail of insulin-regulated aminopeptidase, which interacted both in vitro and in vivo with AS160. Consistent with an inhibitory role of AS160 in the basal state, reduced expression of AS160 in adipocytes using short hairpin RNA increased plasma membrane levels of GLUT4 in an insulin-independent manner. These findings support an important role for AS160 in the insulin regulated trafficking of GLUT4

Proteomic analysis of the neutrophil proteins of the tammar wallaby ("Macropus eugenii")

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ATRP poly(acrylate) star formation: a comparative study between MALDI and ESI mass spectrometry

Optimised matrix-assisted laser desorption/ionisation (MALDI) and electrospray ionisation (ESI) mass spectrometry (MIS) methodologies were systematically compared in terms of their relative abilities to identify distinct chemical species present in samples associated with a polymer mechanistic study. In order to perform the investigation, formation processes involved in atom transfer radical polymerisation (ATRP) mediated methyl acrylate (MA) star polymerisations were studied. In addition to the 4-armed ATRP initiator employed in the polymerisations, initiator side-products were found to generate oligomeric chains. At a relatively high monomer to polymer conversion, terminal Br loss was observed in these oligomers; this Br loss was hypothesised to occur via degradative transfer reactions involving the radicals (CH3)(2)(C) over dotOH, (C) over dotH(3) and (C) over dotH(2)COCH(3), which were derived from the acetone used as a solvent in the polymerisations, as well as hydrogen radicals donated by the ligand N,N',N',N '',N ''-pentamethyldiethylenetriamine (PMDETA). In performing these studies, ESI was found to identify a greater number of distinct chemical species in the samples under investigation when compared to the employed MALDI technique, suggesting that the utilisation of ESI must be strongly considered in polymer mechanistic investigations if the maximum number of end-group functionalities within a given polymer sample are to be identified

Analyzing the hydrophobic proteome of the antarctic archaeon Methanococcoides burtonii using differential solubility fractionation

Proteomic studies have proven useful for studying the Antarctic archaeon Methanococcoides burtonii; however, little has been learned about the hydrophobic and membrane proteins, despite knowledge of their biological importance. In this study, new methods were developed to analyze and maximize the coverage of the hydrophobic proteome. Central to the analysis was a differential solubility fractionation (DSF) procedure using n-octyl-beta-D-glucopyranoside. The study achieved a significant increase (330) in the total number of known expressed proteins. From 612 identified, 185 were predicted to contain transmembrane domains or be associated with the membrane and 190 to be hydrophobic. The DSF procedure increased the efficacy of identifying membrane proteins by up to 169% and was economical, requiring far fewer runs (12% of machine time) to analyze the proteome compared to procedures without DSF. The analysis of peptide spectral counts enabled the assessment of growth temperature specific proteins. This semiquantitative analysis was particularly useful for identifying low abundance proteins unable to be quantified using labeling strategies. The proteogenomic analysis of the newly identified proteins revealed many cellular processes not previously associated with adaptation of the cell. This DSF-based approach is likely to benefit proteomic analyses of hydrophobic proteins for a broad range of biological systems