2D-DIGE analysis of mango (Mangifera indica L.) fruit reveals major proteomic changes associated with ripening

A comparative proteomic investigation between the pre-climacteric and climacteric mango fruits (cv. Keitt) was performed to identify protein species with variable abundance during ripening. Proteins were phenol-extracted from fruits, cyanine-dye-labeled, and separated on 2D gels at pH 4-7. Total spot count of about 373 proteins spots was detected in each gel and forty-seven were consistently different between pre-climacteric and climacteric fruits and were subjected to LC-MS/MS analysis. Functional classification revealed that protein species involved in carbon fixation and hormone biosynthesis decreased during ripening, whereas those related to catabolism and the stress-response, including oxidative stress and abiotic and pathogen defense factors, accumulated. In relation to fruit quality, protein species putatively involved in color development and pulp softening were also identified. This study on mango proteomics provides an overview of the biological processes that occur during ripening.     

Resolving protein interactions and complexes by affinity purification followed by label-based quantitative mass spectrometry

Label-based quantitative mass spectrometry analysis of affinity purified complexes, with its built-in negative controls and relative ease of use, is an increasingly popular choice for defining protein-protein interactions and multiprotein complexes. This approach, which differentially labels proteins/peptides from two or more populations and combines them prior to analysis, permits direct comparison of a protein pulldown (e.g. affinity purified tagged protein) to that of a control pulldown (e.g. affinity purified tag alone) in a single mass spectrometry (MS) run, thus avoiding the variability inherent in separate runs. The use of quantitative techniques has been driven in large part by significant improvements in the resolution and sensitivity of high-end mass spectrometers. Importantly, the availability of commercial reagents and open source identification/quantification software has made these powerful techniques accessible to nonspecialists. Benefits and drawbacks of the most popular labeling-based approaches are discussed here, and key steps/strategies for the use of labeling in quantitative immunoprecipitation experiments detailed.     

Using iRT, a normalized retention time for more targeted measurement of peptides

Multiple reaction monitoring (MRM) has recently become the method of choice for targeted quantitative measurement of proteins using mass spectrometry. The method, however, is limited in the number of peptides that can be measured in one run. This number can be markedly increased by scheduling the acquisition if the accurate retention time (RT) of each peptide is known. Here we present iRT, an empirically derived dimensionless peptide-specific value that allows for highly accurate RT prediction. The iRT of a peptide is a fixed number relative to a standard set of reference iRT-peptides that can be transferred across laboratories and chromatographic systems. We show that iRT facilitates the setup of multiplexed experiments with acquisition windows more than four times smaller compared to in silico RT predictions resulting in improved quantification accuracy. iRTs can be determined by any laboratory and shared transparently. The iRT concept has been implemented in Skyline, the most widely used software for MRM experiments.     

Conjugated linoleic acid isomers modulate protein expression profile in rat hepatocytes

Conjugated linoleic acid (CLA) is a polyunsaturated fatty acid, which has been recently proven to be effective in reducing body fat mass, but brings as a side effect, the liver enlargement due to an increased lipid content. The in vivo lipogenic activity has been suggested to be due to the reduction in fat mass and to the consequent metabolism of blood glucose to fatty acid in the liver rather than in the adipose tissue. We investigated the ability of CLA to directly induce steatosis by modulating the expression pattern of hepatic proteins involved in lipid metabolism. To avoid interferences derived from CLA metabolism by other tissues, we used the in vitro model of freshly isolated rat hepatocytes incubated in the presence of different CLA isomers. The direct effect of CLA on lipid accumulation in hepatocytes was demonstrated by the altered expression pattern of several proteins involved in lipid metabolism, as assessed by two-dimensional gel electrophoresis and confirmed by Western blotting analysis. The CLA isomer c9,t11 was most effective in modulating the protein expression profile.     

Critical dependence of blood-borne biomarker concentrations on the half-lives of their carrier proteins

Until recently, the low-abundance (LA) range of the serum proteome was an unexplored reservoir of diagnostic information. Today it is increasingly appreciated that a diagnostic goldmine of LA biomarkers resides in the blood stream in complexed association with more abundant higher molecular weight carrier proteins such as albumin and immunoglobulins. As we now look to the possibility of harvesting these LA biomarkers more efficiently through engineered nano-scale particles, mathematical approaches are needed in order to reveal the mechanisms by which blood carrier proteins act as molecular ‘mops’ for LA diagnostic cargo, and the functional relationships between bound LA biomarker concentrations and other variables of interest such as biomarker intravasation and clearance rates and protein half-lives in the bloodstream. Here we show, by simple mathematical modeling, how the relative abundance of large carrier proteins and their longer half-lives in the bloodstream work together to amplify the total blood concentration of these tiny biomarkers. The analysis further suggests that alterations in the production of biomarkers lead to gradual rather than immediate changes in biomarker levels in the blood circulation. The model analysis also points to the characteristics of artificial nano-particles that would render them more efficient harvesters of tumor biomarkers in the circulation, opening up possibilities for the early detection of curable disease, rather than simply better detection of advanced disease.     

The 1st European Summer School on 'proteomic basics'--the students view. 12-18 August, 2007 Kloster Neustift, Brixen/Bressanone, South Tyrol, Italy

Fifty postgraduate and postdoctoral delegates from all over Europe attended the week-long '1st European Summer School on Proteomic Basics' in Kloster Neustift in the Italian South Tyrol in August 2007. Invited proteomics experts gave tutorial lectures on Proteomics techniques with an emphasis on sample preparation, protein separation and purification in the first of an annual series of Proteomics Summer Schools funded by the EU and the Volkswagen Stiftung.     

Post alignment clustering procedure for comparative quantitative proteomics LC-MS data

Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtures. Dedicated software is required for detection, matching, and alignment of peaks in multiple LC-MS datasets. However, retention time shifts, saturation effects, limitations of experimental accuracy, and possible occurrence of split peaks make it difficult for software to perfectly match all chromatograms. We describe a procedure to assess the above problems and show that dataset quality can be enhanced with the aid of cluster analysis.     

Proteomic adaptation to chronic high intensity swimming training in the rat heart

Cardiac hypertrophy induced by exercise is associated with less cardiac fibrosis and better systolic and diastolic function, suggesting that the adaptive mechanisms may exist in exercise-induced hypertrophy. To identify molecular mechanisms by which exercise training stimulates this favorable phenotype, a proteomic approach was employed to detect rat cardiac proteins that were differentially expressed or modified after exercise training. Sixteen male Sprague–Dawley rats were divided into trained (T) and control(C). T rats underwent eight weeks of swimming training seven days/week, using a high intensity protocol. Hearts were used to generate 2-D electrophoretic proteome maps. Training significantly altered 23 protein spot intensities (P < 0.05), including proteins associated with the mitochondria oxidative metabolism, such as prohibitin, malate dehydrogenase, short-chain acyl-CoA dehydrogenase, triosephosphate isomerase, electron transfer flavoprotein subunit beta, ndufa10 protein, ATP synthase subunit alpha and isocitrate dehydrogenase [NAD] subunit. Additionally, Prohibitin was increased in the exercise-induced hearts. Cytoskeletal, signal pathway, stress and oxidative proteins also increased within T groups. These results strongly support the notion that the observed changes in the expression of energy metabolism proteins resulted in a potential increase in the capacity to synthesise ATP, probably via mitochondrial oxidative metabolism. The observed changes in the expression of these metabolic and structural proteins induced by training may beneficially influence heart metabolism, stress response and signalling paths, and therefore improve the overall cardiac function.     

Native-DIGE: a new look at the mitochondrial membrane proteome

Respiratory chain proteins play a pivotal role in mitochondrial metabolism and thereby in the aging process. Differential display of the mitochondrial proteome reveals the abundance changes occurring in proteins as response to complex events such as senescence and aging. However, there is an absolute need to implement a detection technique that could potentially encompass the hydrophobic and very basic membrane proteins, along with the soluble ones. It is also important to assess protein-protein interactions, besides changes in abundance. Native-difference gel electrophoresis (DIGE) is an approach that facilitates sensitive quantitative assessment of changes in membrane and soluble proteins. It stretches the boundaries of detecting abundance changes to protein-protein interactions for interpretation of a proteome in a more "meaningful" way. Here we evaluate the benefits of blue-native fluorescence DIGE as a method in differential quantitative proteomics with a focus on critical issues for application and experimental design.