Vascular dementia (VaD) is a leading cause of dementia in the elderly together with Alzheimer's disease with limited treatment options. Poor understanding of the pathophysiology underlying VaD is hindering the development of new therapies. Hence, to unravel its underlying molecular pathology, an iTRAQ-2D-LC-MS/MS strategy was used for quantitative analysis of pooled lysates from Brodmann area 21 of pathologically confirmed cases of VaD and matched non-neurological controls. A total of 144 differentially expressed proteins out of 2281 confidently identified proteins (false discovery rate=0.3%) were shortlisted for bioinformatics analysis. Western blot analysis of selected proteins using samples from individual patients (n=10 per group) showed statistically significant increases in the abundance of SOD1 and NCAM and reduced ATP5A in VaD. This suggested a state of hypometabolism and vascular insufficiency along with an inflammatory condition during VaD. Elevation of SOD1 and increasing trend for iron-storage proteins (FTL, FTH1) may be indicative of an oxidative imbalance that is accompanied by an aberrant iron metabolism. The synaptic proteins did not exhibit a generalized decrease in abundance (e.g. syntaxin) in the VaD subjects. This reported proteome offers a reference data set for future basic or translational studies on VaD.

Aspergillus sp. plays an essential role in lignocellulosic biomass recycling and is also exploited as cell factories for the production of industrial enzymes. This study profiled the secretome of Aspergillus fumigatus when grown with cellulose, xylan and starch by high throughput quantitative proteomics using isobaric tags for relative and absolute quantification (iTRAQ). Post translational modifications (PTMs) of proteins play a critical role in protein functions. However, our understanding of the PTMs in secretory proteins is limited. Here, we present the identification of PTMs such as deamidation of secreted proteins of A. fumigatus. This study quantified diverse groups of extracellular secreted enzymes and their functional classification revealed cellulases and glycoside hydrolases (32.9%), amylases (0.9%), hemicellulases (16.2%), lignin degrading enzymes (8.1%), peptidases and proteases (11.7%), chitinases, lipases and phosphatases (7.6%), and proteins with unknown function (22.5%). The comparison of quantitative iTRAQ results revealed that cellulose and xylan stimulates expression of specific cellulases and hemicellulases, and their abundance level as a function of substrate. In-depth data analysis revealed deamidation as a major PTM of key cellulose hydrolyzing enzymes like endoglucanases, cellobiohydrolases and glucosidases. Hemicellulose degrading endo-1,4-beta-xylanase, monosidases, xylosidases, lignin degrading laccase, isoamyl alcohol oxidase and oxidoreductases were also found to be deamidated.

Thermobifida fusca is an aerobic, thermophilic, cellulose degrading bacterium identified in heated organic materials. This study applied iTRAQ quantitative proteomic analysis to the cellular and membrane proteomes of T. fusca grown in presence and absence of cellulose to elucidate the cellular processes induced by cellulose nutrient. Using an iTRAQ-based quantitative proteomic approach, 783 cytosolic and 181 membrane proteins expressed during cellulose hydrolysis were quantified with ≤1% false discovery rate. The comparative iTRAQ quantification revealed considerable induction in the expression levels and up-regulation of specific proteins in cellulosic medium than non-cellulosic medium. The regulated proteins in cellulosic medium were grouped under central carbohydrate metabolism such as glycolysis/gluconeogenesis, pentose phosphate pathways, citric acid cycle, starch, sugars, pyruvate, propanoate and butanoate metabolism; energy metabolism that includes oxidative phosphorylation, nitrogen, methane and sulfur metabolism; fatty acid metabolism, amino acid metabolic pathways, purine and pyrimidine metabolism, and main cellular genetic information processing functions like replication, transcription, translation, and cell wall synthesis; and environmental information processing (membrane transport and signal transduction). The results demonstrated cellulose induced several metabolic pathways during cellulose utilization.

Protein abundance determination across multiple samples proved to be a daunting task and far fewer methods have been successfully devised for this purpose. Despite the technical challenges faced, protein abundance determination over multiple samples is still an area of interest. Herein, we introduce a new method for estimation of protein abundances in multiplexed samples (PAMUS). Protein abundance in the multiplexed sample comprising of the eight complex secretomes by Trichoderma reesei QM6a and Rut C30 grown in four different carbon sources, namely glucose, cellulose, starch, and a mixture of starch and cellulose was determined. For protein abundance in the multiplexed sample, exponentially modified protein abundance index (emPAI) was used. Using the PAMUS method, we estimated the abundance of extracellular lignocellulolytic proteins secreted by two T. reesei strains in response to various carbon sources. The results reveal that cellulose induces biosynthesis of cellulases. PAMUS analysis of the secretomes implicates T. reesei Rut C30 as a hyper cellulolytic strain and further revealed the optimum concentrations of each secreted enzyme during cellulosic substrate utilization. Our study demonstrates the plausible use of the PAMUS method for designing enzyme cocktails for optimum cellulose hydrolysis, and its potential applications in future studies involving other multiplexed biological samples.

Heart failure, including myocardial infarction, is the leading cause for death and the incidence of cardiovascular diseases is predicted to continue to rise worldwide. In the present study we investigated the whole heart proteome profile of transgenic p60-Transcription Regulator Protein (p60TRP) mice to gain an insight into the molecular events caused by the long-term effect of neural p60TRP over-expression on cardiac proteome changes and its potential implication for cardiovascular functions. Using an iTRAQ (isobaric tags for relative and absolute quantitation)-based proteomics research approach, we identified 1148 proteins, out of which 116 were found to be significantly altered in the heart of neural transgenic p60TRP mice. Based on the observed data, we conclude that in vivo neural over-expression of transgenic p60TRP with its neuroprotective therapeutic potential significantly affects cardiovascular capacities.

ERLIC and high-pH RP (Hp-RP) have been reported to be promising alternatives to strong cation exchange (SCX) in proteome fractionation. Here we compared the performance of ERLIC, concatenated ERLIC and concatenated Hp-RP in proteome profiling. The protein identification is comparable in these three strategies, but significantly more unique peptides are identified by the two concatenation methods, resulting in a significant increase of the average protein sequence coverage. The pooling of fractions from spaced intervals results in more uniform distribution of peptides in each fraction compared with the chromatogram-based pooling of adjacent fractions. ERLIC fractionates peptides according to their pI and GRAVY values. These properties remains but becomes less remarkable in concatenated ERLIC. In contrast, the average pI and GRAVY values of the peptides are comparable in each fraction in concatenated Hp-RP. ERLIC performs the best in identifying peptides with pI>9 among the three strategies, while concatenated Hp-RP is good at identifying peptides with pI<4. These advantages are useful when either basic or acidic peptides/proteins are analytical targets. The power of ERLIC in identification of basic peptides seems to be due to their efficient separation from acidic peptides. This study facilitates the choice of proper fractionation strategies based on specific objectives.

Chromatin is a highly dynamic well organized nucleoprotein complex of DNA and proteins that controls DNA-dependent processes such as transcription, replication, repair and many others. Chromatin structure is regulated by various chromatin associated proteins, post-translational modifications of histones and DNA methylation, but a complete picture of structural changes in chromatin architecture is unclear due to the lack of comprehensive data of chromatin-associated proteins and their bindings to different chromatin regions. This study temporally released chromatin-associated proteins by DNase I and MNase treatment and profiled them by exponentially modified protein abundance index (emPAI) based label-free quantitative proteomics. We identified 694 high confidence proteins, with 160 known chromatin-associated proteins. Identified proteins were functionally classified into histones, non-histones involved in architectural maintenance, proteins involved in DNA replication and repair, transcription machinery, transcription regulation, other chromatin proteins, cell cycle proteins and several novel proteins. Numerous proteins presumed to be chromatin associated were identified and their chromatin interactions were explored. The comprehensive differential chromatin bound proteome might expand our knowledge of the proteins that were associated with different chromatin regions, which could be very useful in elucidating chromatin biology.

Gastrodia elata (tianma) is a traditional Chinese herbal medicine (TCM) often used for the treatment of cerebrovascular diseases. In this study, we investigated the effects of tianma on the brain protein metabolism by quantitative proteomics to gain evidence for a direct relationship between tianma treatment and brain functions. One-year-old rats were treated with tianma (~2.5 g/kg/day) for 3months and the brain tissue proteome was analyzed by using the iTRAQ (isobaric tag for relative and absolute quantification) technology. According to our results, the long-term treatment with tianma could modulate the brain protein metabolism at the proteome level by down-regulating the expressions of various proteins, such as Gnao1 and Dctn2, which are related to neuronal growth cone control and synaptic activities. In addition, tianma treatment also induced the up-regulation of molecular chaperons and proteins related to the misfolded protein response, like Anxa5, and also other proteins involved in Huntington's disease (HD) (e.g. Pacsin1 and Arf3). Concluding, tianma could eventually contribute to activities related to synaptic plasticity and neuro-restorative processes and thus might be a novel candidate agent for the treatment of neurodegenerative diseases by regulating the brain proteome.

Lignocellulosic biomass from agricultural crop residues and forest waste represents an abundant renewable resource for bioenergy and future biofuel. The current bottleneck of lignocellulosic biofuel production is the hydrolysis of biomass to sugar. To understand the enzymatic hydrolysis of complex biomasses, in this report, lignocellulolytic enzymes secretion by Phanerochaete chrysosporium cultivated in different natural lignocellulosic biomass such as corn stover, hay, sawdust, sugarcane baggase, wheat bran and wood chips were quantitatively analyzed with the iTRAQ technique using LC-MS/MS. A diverse groups of enzymes, including cellulases, glycoside hydrolases, hemicellulases, lignin degrading enzymes, peroxidases, esterases, lipases, chitinases, peptidases, protein translocating transporter and hypothetical proteins were quantified, of which several were novel lignocellulosic biomass hydrolyzing enzymes. The quantitative expression and regulation of lignocellulolytic enzymes by P. chrysosporium were dependent on the nature and complexity of lignocellulosic biomass as well as physical size of the biomass. The iTRAQ data revealed oxidative and hydrolytic lignin degrading mechanism of P. chrysosporium. Numerous proteins presumed to be involved in natural lignocellulosic biomass transformation and degradation were expressed and produced in variable quantities in response to different agricultural and forest wastes.

Proteomics analysis of lignocellulolytic proteins by lignocellulosic biomass degrading microbes and compatible microbial consortium is a promising approach that offers a new means to enzyme discovery. The abundance of proteins in complex secretome by microbial communities would highlight key lignocellulolytic proteins for lignocellulosic biorefinery. In this study, lignocellulolytic enzymes of potent lignin degrading basidiomycota and effective cellulolytic ascomycota fungal strains, and their co-cultures were analyzed using high throughput isobaric tag for relative and absolute quantitation (iTRAQ) technique using liquid chromatography tandem mass spectrometry. Protein abundances in the iTRAQ-multiplexed samples were determined by integrating relative quantitation and exponentially modified protein abundance index (emPAI). The functional classification of the secretory proteins by individual culture and co-culture demonstrated 36.77% cellulolytic proteins, 13.06% hemicellulases, 14.09% ligninolytic proteins, 19.59% proteolytic enzymes. 7.22% hypothetical proteins and 6.87% cell morphogenesis proteins. The abundance of the proteins by individual cultures and co-cultured fungal consortium revealed that co-culturing of Phanerochaete chrysosporium with Trichoderma reesei QM6a and Trichoderma reesei Rut C30 induced the production of cellulolytic proteins and stimulated expression of hemicellulolytic enzymes. The hierarchical clustering of proteins in secretome of fungal strains and their co-cultures elucidated differential expressions of lignocellulolytic proteins by the microbial consortium.

The basidiomycete fungi such as Phanerochaete chrysosporium secrete large amount of hydrolytic and oxidative enzymes and degrade lignocellulosic biomass. The lignin depolymerizing proteins were extensively studied, but cellulose, hemicellulose and pectin hydrolyzing enzymes were poorly explored. In this study P. chrysosporium was grown in cellulose, lignin and mixture of cellulose and lignin, and secretory proteins were quantified by isobaric tag for relative and absolute quantitation (iTRAQ)-based quantitative proteomics using liquid chromatography tandem mass spectrometry (LC-MS/MS). An iTRAQ quantified 117 enzymes comprising cellulose hydrolyzing endoglucanases, exoglucanases, beta-glucosidases; hemicelluloses hydrolyzing xylanases, acetylxylan esterases, mannosidases, mannanases; pectin-degrading enzymes polygalacturonase, rhamnogalacturonase, arabinose and lignin degrading protein belonging to oxidoreductase family. Under cellulose and cellulose with lignin culture conditions, enzymes such as endoglucanases, exoglucanases, β-glucosidases and cellobiose dehydrogenase were significantly upregulated and iTRAQ data suggested hydrolytic and oxidative cellulose degradation. When lignin was used as a major carbon source, enzymes such as copper radical oxidase, isoamyl oxidase, glutathione S-transferase, thioredoxin peroxidase, quinone oxidoreductase, aryl alcohol oxidase, pyranose 2-oxidase, aldehyde dehydrogenase, and alcohol dehydrogenase were expressed and significantly regulated. This study explored cellulose, hemicellulose, pectin and lignin degrading enzymes of P. chrysosporium that are valuable for lignocellulosic bioenergy.

Solid state fermentation of lignocellulosic biomass by filamentous microorganisms to induced enzyme production has been recognized as an attractive and cost effective technology. The secretion profile of lignocellulolytic enzymes by thermostable filamentous Thermobifida fusca (T. fusca) in solid state fermentation of different lignocellulosic biomasses, such as corn stover, hay; saw dust; sugarcane bagasse; wood chips; and un-dried green plant were explored using label-free exponentially modified protein abundance index (emPAI) based quantitative proteomics. Comparative analyses of T. fusca secretion profiles between cellulose and the various lignocellulosic biomasses showed induced expression of cellulolytic proteins by cellulose, and expression of hemicellulose, pectin and lignin degrading enzymes were induced by lignocellulosic biomasses. The solid state fermentation by T. fusca on lignocellulosic biomasses also revealed increased expressions of various transport proteins and hypothetical proteins. The Bray-Curtis similarity indices, clustering, and multidimensional scaling plot explicated differential protein expressions by T. fusca on different lignocellulosic biomasses, indicating that protein secretion by T. fusca is reliant on substrate complexity.