Showing papers in "Journal of Proteome Research in 2013"
TL;DR: The need to carry out extensive fractionation for deep mining of the phosphoproteome is demonstrated and a guide for appropriate strategies depending on sample amount and/or analysis time is provided.
Abstract: Mass spectrometry (MS)-based phosphoproteomics has achieved extraordinary success in qualitative and quantitative analysis of cellular protein phosphorylation. Considering that an estimated level of phosphorylation in a cell is placed at well above 100,000 sites, there is still much room for improvement. Here, we attempt to extend the depth of phosphoproteome coverage while maintaining realistic aspirations in terms of available material, robustness, and instrument running time. We developed three strategies, where each provided a different balance between these three key parameters. The first strategy simply used enrichment by Ti(4+)-IMAC followed by reversed chromatography LC-MS (termed 1D). The second strategy incorporated an additional fractionation step through the use of HILIC (2D). Finally, a third strategy was designed employing first an SCX fractionation, followed by Ti(4+)-IMAC enrichment and additional fractionation by HILIC (3D). A preliminary evaluation was performed on the HeLa cell line. Detecting 3700 phosphopeptides in about 2 h, the 1D strategy was found to be the most sensitive but limited in comprehensivity, mainly due to issues with complexity and dynamic range. Overall, the best balance was achieved using the 2D based strategy, identifying close to 17,000 phosphopeptides with less than 1 mg of material in about 48 h. Subsequently, we confirmed the findings with the K562 cell sample. When sufficient material was available, the 3D strategy increased phosphoproteome allowing over 22,000 unique phosphopeptides to be identified. Unfortunately, the 3D strategy required more time and over 1 mg of material before it started to outperform 2D. Ultimately, combining all strategies, we were able to identify over 16,000 and nearly 24,000 unique phosphorylation sites from the cancer cell lines HeLa and K562, respectively. In summary, we demonstrate the need to carry out extensive fractionation for deep mining of the phosphoproteome and provide a guide for appropriate strategies depending on sample amount and/or analysis time.
368 citations
TL;DR: The significance of hippurate excretion with respect to disease states including obesity, diabetes, gastrointestinal diseases, impaired renal function, psychological disorders and autism, as well as toxicity and parasitic infection are considered.
Abstract: Hippurate, the glycine conjugate of benzoic acid, is a normal constituent of the endogenous urinary metabolite profile and has long been associated with the microbial degradation of certain dietary components, hepatic function and toluene exposure, and is also commonly used as a measure of renal clearance Here we discuss the potential relevance of hippurate excretion with regard to normal endogenous metabolism and trends in excretion relating to gender, age, and the intestinal microbiota Additionally, the significance of hippurate excretion with respect to disease states including obesity, diabetes, gastrointestinal diseases, impaired renal function, psychological disorders and autism, as well as toxicity and parasitic infection, are considered
251 citations
TL;DR: An algorithm is devised that corrects experimental TMT ratios on the basis of determined peptide interference levels and the quantification accuracy achieved was comparable to that obtained with stringent spectrum filters but limited the loss in coverage to <10%.
Abstract: Isobaric mass tagging (e.g., TMT and iTRAQ) is a precise and sensitive multiplexed peptide/protein quantification technique in mass spectrometry. However, accurate quantification of complex proteomic samples is impaired by cofragmentation of peptides, leading to systematic underestimation of quantitative ratios. Label-free quantification strategies do not suffer from such an accuracy bias but cannot be multiplexed and are less precise. Here, we compared protein quantification results obtained with these methods for a chemoproteomic competition binding experiment and evaluated the utility of measures of spectrum purity in survey spectra for estimating the impact of cofragmentation on measured TMT-ratios. While applying stringent interference filters enables substantially more accurate TMT quantification, this came at the expense of 30%–60% fewer proteins quantified. We devised an algorithm that corrects experimental TMT ratios on the basis of determined peptide interference levels. The quantification accur...
231 citations
TL;DR: Evidence that T. cruzi releases proteins associated with vesicles that are formed by at least two different mechanisms is presented, and results suggest that metacyclic forms may use extracellular vesicle to deliver cargo into host cells.
Abstract: Microorganisms use specialized systems to export virulence factors into host cells. Secretion of effector proteins into the extracellular environment has been described in Trypanosoma cruzi; however, a comprehensive proteomic analysis of the secretome and the secretion mechanisms involved remain elusive. Here, we present evidence that T. cruzi releases proteins associated with vesicles that are formed by at least two different mechanisms. Transmission electron microscopy showed larger vesicles budding from the plasma membrane of noninfective epimastigotes and infective metacyclic trypomastigotes, as well as smaller vesicles within the flagellar pocket of both forms. Parasite conditioned culture supernatant was fractionated and characterized by morphological, immunochemical, and proteomic analyses. Three fractions were obtained by differential ultracentrifugation: the first enriched in larger vesicles resembling ectosomes, the second enriched in smaller vesicles resembling exosomes, and a third fraction en...
211 citations
TL;DR: An overview is given of the currently available digestion strategies and recent developments in the acceleration of the digestion process, and tailored approaches for classes of proteins that pose specific challenges are discussed.
Abstract: Several proteomics approaches are available that are defined by the level (protein or peptide) at which analysis takes place. The most widely applied method still is bottom-up proteomics where the protein is digested into peptides that can be efficiently analyzed with a wide range of LC–MS or MALDI-TOF-MS instruments. Sample preparation for bottom-up proteomics experiments requires several treatment steps in order to get from the protein to the peptide level and can be very laborious. The most crucial step in such approaches is the protein digestion, which is often the bottleneck in terms of time consumption. Therefore, a significant gain in throughput may be obtained by speeding up the digestion process. Current techniques allow for reduction of the digestion time from overnight (∼15 h) to minutes or even seconds. This advancement also makes integration into online systems feasible, thereby reducing the number of tedious sample handling steps and the risk of sample loss. In this review, an overview is gi...
206 citations
TL;DR: This study has demonstrated that the combined approach is powerful for identification and characterization of protein lysine acetylation on a large scale and provides a series of important information including localization, networks and characterize of acetylome.
Abstract: Protein lysine acetylation plays a key role in regulating chromatin dynamics, gene expression and metabolic pathways in eukaryotes, and, thus, contributes to diverse cellular processes like transcription, cell cycle regulation, and apoptosis. Although recent evidence suggests that acetylated proteins impact broadly cellular functions in prokaryotes, the substrates and localization of this modification remain widely unknown due to the limitations of analytical methods. Comprehensive identification of protein acetylation is a major bottleneck due to its dynamic property and pretty low abundance. A complete atlas of acetylome will significantly advance our understanding of this modification functions in prokaryotes. To achieve this goal, we have developed an intergraded approach to identifying lysine acetylation. Combining immunoaffinity enrichment with high sensitive mass spectrometry, we identified 349 acetylated proteins and addressed 1070 acetylation sites in Escherichia coli. To our knowledge, the acetylated proteins and acetylated sites were increased to 3 times and 8 times, respectively, compared to that in previous report. To further characterize this modification, we classified acetylated proteins into several groups according to cell components, molecular functions and biological process. Additionally, interaction networks and high confident domains architectures of acetylated proteins were investigated with the aid of bioinformatics tools. Finally, the acetylated metabolic enzymes were analyzed on the basis of acetylated proteins identified by proteomic survey in E. coli. Our study has demonstrated that the combined approach is powerful for identification and characterization of protein lysine acetylation on a large scale. These results not only greatly expand the number of acetylated proteins, but also provide a series of important information including localization, networks and characterization of acetylome.
199 citations
TL;DR: The correlation between gut microbiota and fecal metabolites provides important information on the function of bacteria, which in turn could be important in optimizing therapeutic strategies, and developing potential microbiota-based disease preventions and therapeutic interventions.
Abstract: The gut microbiome is known to be extensively involved in human health and disease. In order to reveal the metabolic relationship between host and microbiome, we monitored recovery of the gut microbiota composition and fecal profiles of mice after gentamicin and/or ceftriaxone treatments. This was performed by employing 1H nuclear magnetic resonance (NMR)-based metabonomics and denaturing gradient gel electrophoresis (DGGE) fingerprint of gut microbiota. The common features of fecal metabolites postantibiotic treatment include decreased levels of short chain fatty acids (SCFAs), amino acids and primary bile acids and increased oligosaccharides, d-pinitol, choline and secondary bile acids (deoxycholic acid). This suggests suppressed bacterial fermentation, protein degradation and enhanced gut microbial modification of bile acids. Barnesiella, Prevotella, and Alistipes levels were shown to decrease as a result of the antibiotic treatment, whereas levels of Bacteroides, Enterococcus and Erysipelotrichaceae i...
188 citations
TL;DR: Model-based gene enrichment analysis identified over representation of Gene Ontology terms relating to the flagella, protein kinase activity, and the regulation of gene expression in T. brucei, suggesting that MAPK pathways are functional in both lifecycle stages.
Abstract: We report a global quantitative phosphoproteomic study of bloodstream and procyclic form Trypanosoma brucei using SILAC labeling of each lifecycle stage. Phosphopeptide enrichment by SCX and TiO2 led to the identification of a total of 10096 phosphorylation sites on 2551 protein groups and quantified the ratios of 8275 phosphorylation sites between the two lifecycle stages. More than 9300 of these sites (92%) have not previously been reported. Model-based gene enrichment analysis identified over representation of Gene Ontology terms relating to the flagella, protein kinase activity, and the regulation of gene expression. The quantitative data reveal that differential protein phosphorylation is widespread between bloodstream and procyclic form trypanosomes, with significant intraprotein differential phosphorylation. Despite a lack of dedicated tyrosine kinases, 234 phosphotyrosine residues were identified, and these were 3–4 fold over-represented among site changing >10-fold between the two lifecycle stage...
179 citations
TL;DR: Interestingly, the most prominent drop in the levels of galactosylated and sialylated glycoforms in females was observed around the age of 45 to 60 years when females usually enter menopause, and this was compared to the results to the total IgG N-glycosylation of the same populations recently analyzed by hydrophilic interaction liquid chromatography (HILIC).
Abstract: Age and sex dependence of subclass specific immunoglobulin G (IgG) Fc N-glycosylation was evaluated for 1709 individuals from two isolated human populations. IgGs were obtained from plasma by affinity purification using 96-well protein G monolithic plates and digested with trypsin. Fc N-glycopeptides were purified and analyzed by negative-mode MALDI-TOF-MS with 4-chloro-α-cyanocinnamic acid (Cl-CCA) matrix. Age-associated glycosylation changes were more pronounced in younger individuals ( 57 years) and in females than in males. Galactosylation and sialylation decreased with increasing age and showed significant sex dependence. Interestingly, the most prominent drop in the levels of galactosylated and sialylated glycoforms in females was observed around the age of 45 to 60 years when females usually enter menopause. The incidence of bisecting N-acetylglucosamine increased in younger individuals and reached a plateau at older age. Furthermore, we compared the results to the total IgG N-glycosylation of the same populations recently analyzed by hydrophilic interaction liquid chromatography (HILIC). Significant differences were observed in the levels of galactosylation, bisecting N-acetylglucosamine and particularly sialylation, which were shown to be higher in HILIC analysis. Age and sex association of glycosylation features was, to a large extent, comparable between MALDI-TOF-MS and HILIC IgG glycosylation profiling.
176 citations
TL;DR: The constitutive and regulated expression of the Plasmodium proteome is defined, offering an insight into the dynamics of phosphorylation during asexual cycle progression, a major step toward defining kinase-substrate pairs operative in various signaling networks in the parasite.
Abstract: During asexual intraerythrocytic development, Plasmodium falciparum diverges from the paradigm of the eukaryotic cell cycles by undergoing multiple rounds of DNA replication and nuclear division without cytokinesis. A better understanding of the molecular switches that coordinate a myriad of events for the progression of the parasite through the intraerythrocytic developmental stages will be of fundamental importance for rational design of intervention strategies. To achieve this goal, we performed isobaric tag-based quantitative proteomics and phosphoproteomics analyses of three developmental stages in the Plasmodium asexual cycle and identified 2767 proteins, 1337 phosphoproteins, and 6293 phosphorylation sites. Approximately 34% of identified proteins and 75% of phosphorylation sites exhibit changes in abundance as the intraerythrocytic cycle progresses. Our study identified 43 distinct phosphorylation motifs and a range of potential MAPK/CDK substrates. Further analysis of phosphorylated kinases identified 30 protein kinases with 126 phosphorylation sites within the kinase domain or in N- or C-terminal tails. Many of these phosphorylations are likely CK2-mediated. We define the constitutive and regulated expression of the Plasmodium proteome during the intraerythrocytic developmental cycle, offering an insight into the dynamics of phosphorylation during asexual cycle progression. Our system-wide comprehensive analysis is a major step toward defining kinase-substrate pairs operative in various signaling networks in the parasite.
164 citations
TL;DR: A follow-up replication study aiming to identify a distinct serum metabolic signature of CRC with diagnostic potential demonstrated that a panel of serum metabolite markers is of great potential as a noninvasive diagnostic method for the detection of CRC.
Abstract: Recent studies suggest that biofluid-based metabonomics may identify metabolite markers promising for colorectal cancer (CRC) diagnosis We report here a follow-up replication study, after a previous CRC metabonomics study, aiming to identify a distinct serum metabolic signature of CRC with diagnostic potential Serum metabolites from newly diagnosed CRC patients (N = 101) and healthy subjects (N = 102) were profiled using gas chromatography time-of-flight mass spectrometry (GC–TOFMS) and ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC–QTOFMS) Differential metabolites were identified with statistical tests of orthogonal partial least-squares-discriminant analysis (VIP > 1) and the Mann–Whitney U test (p < 005) With a total of 249 annotated serum metabolites, we were able to differentiate CRC patients from the healthy controls using an orthogonal partial least-squares-discriminant analysis (OPLS-DA) in a learning sample set of 62 CRC patients and 62 matched healt
TL;DR: An experimental strategy that allows for a detailed examination of the variability of the quantitative LC-MS proteomics measurements is presented and the stability of the platform and its suitability for discovery proteomics studies is demonstrated.
Abstract: To design a robust quantitative proteomics study, an understanding of both the inherent heterogeneity of the biological samples being studied as well as the technical variability of the proteomics methods and platform is needed. Additionally, accurately identifying the technical steps associated with the largest variability would provide valuable information for the improvement and design of future processing pipelines. We present an experimental strategy that allows for a detailed examination of the variability of the quantitative LC–MS proteomics measurements. By replicating analyses at different stages of processing, various technical components can be estimated and their individual contribution to technical variability can be dissected. This design can be easily adapted to other quantitative proteomics pipelines. Herein, we applied this methodology to our label-free workflow for the processing of human brain tissue. For this application, the pipeline was divided into four critical components: Tissue d...
TL;DR: This work presents a computational pipeline for the quantification of peptides and proteins in label-free LC-MS/MS data sets, composed of tools from the OpenMS software framework and applicable to the processing of large experiments (50+ samples).
Abstract: We present a computational pipeline for the quantification of peptides and proteins in label-free LC–MS/MS data sets. The pipeline is composed of tools from the OpenMS software framework and is applicable to the processing of large experiments (50+ samples). We describe several enhancements that we have introduced to OpenMS to realize the implementation of this pipeline. They include new algorithms for centroiding of raw data, for feature detection, for the alignment of multiple related measurements, and a new tool for the calculation of peptide and protein abundances. Where possible, we compare the performance of the new algorithms to that of their established counterparts in OpenMS. We validate the pipeline on the basis of two small data sets that provide ground truths for the quantification. There, we also compare our results to those of MaxQuant and Progenesis LC–MS, two popular alternatives for the analysis of label-free data. We then show how our software can be applied to a large heterogeneous data...
TL;DR: This tutorial discusses the significance of evaluating and optimizing mass spectrometric settings on the LTQ-Orbitrap during CID data-dependent acquisition (DDA) mode to improve protein and peptide identification rates and presents recommended MS and MS/MS parameters.
Abstract: Mass-spectrometry-based proteomics has evolved as the preferred method for the analysis of complex proteomes. Undoubtedly, recent advances in mass spectrometry instrumentation have greatly enhanced proteomic analysis. A popular instrument platform in proteomics research is the LTQ-Orbitrap mass analyzer. In this tutorial, we discuss the significance of evaluating and optimizing mass spectrometric settings on the LTQ-Orbitrap during CID data-dependent acquisition (DDA) mode to improve protein and peptide identification rates. We focus on those MS and MS/MS parameters that have been systematically examined and evaluated by several researchers and are commonly used during DDA. More specifically, we discuss the effect of mass resolving power, preview mode for FTMS scan, monoisotopic precursor selection, signal threshold for triggering MS/MS events, number of microscans per MS/MS scan, number of MS/MS events, automatic gain control target value (ion population) for MS and MS/MS, maximum ion injection time for MS/MS, rapid and normal scan rate, and prediction of ion injection time. We furthermore present data from the latest generation LTQ-Orbitrap system, the Orbitrap Elite, along with recommended MS and MS/MS parameters. The Orbitrap Elite outperforms the Orbitrap Classic in terms of scan speed, sensitivity, dynamic range, and resolving power and results in higher identification rates. Several of the optimized MS parameters determined on the LTQ-Orbitrap Classic and XL were easily transferable to the Orbitrap Elite, whereas others needed to be reevaluated. Finally, the Q Exactive and HCD are briefly discussed, as well as sample preparation, LC-optimization, and bioinformatics analysis. We hope this tutorial will serve as guidance for researchers new to the field of proteomics and assist in achieving optimal results.
TL;DR: It is demonstrated that urinary metabolomics analysis by UPLC-QTOF/MS, performed in a minimally noninvasive and convenient manner, possessed great potential in biomarker discovery for EOC.
Abstract: To evaluate the application of urinary metabolomics on discovering potential biomarkers for epithelial ovarian cancer (EOC), urine samples from 40 preoperative EOC patients, 62 benign ovarian tumor (BOT) patients, and 54 healthy controls were collected and analyzed with ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). Good separations were obtained for EOC vs BOT, EOC vs healthy controls analyzed by partial least-squares discriminant analysis, or principal component analysis. Twenty-two ascertained metabolomic biomarkers were found to be disturbed in several metabolic pathways among EOC patients, including nucleotide metabolism (pseudouridine, N4-acetylcytidine), histidine metabolism (l-histidine, imidazol-5-yl-pyruvate), tryptophan metabolism (3-indolelactic acid), and mucin metabolism (3′-sialyllactose and 3-sialyl-N-acetyllactosamine). In addition, the concentrations of some urinary metabolites of 18 postoperative EOC patients among the 40 EOC patients ...
TL;DR: New software, Morpheus, designed specifically for high-mass accuracy data, based on a simple score that is little more than the number of matching products, gives more spectrum, peptide, and protein identifications than Mascot, Open Mass Spectrometry Search Algorithm (OMSSA), and Sequest.
Abstract: The acquisition of high-resolution tandem mass spectra (MS/MS) is becoming more prevalent in proteomics, but most researchers employ peptide identification algorithms that were designed prior to this development. Here, we demonstrate new software, Morpheus, designed specifically for high–mass accuracy data, based on a simple score that is little more than the number of matching products. For a diverse collection of data sets from a variety of organisms (E. coli, yeast, human) acquired on a variety of instruments (quadrupole–time-of-flight, ion trap–orbitrap, and quadrupole–orbitrap) in different laboratories, Morpheus gives more spectrum, peptide, and protein identifications at a 1% false discovery rate (FDR) than Mascot, Open Mass Spectrometry Search Algorithm (OMSSA), and Sequest. Additionally, Morpheus is 1.5 to 4.6 times faster, depending on the data set, than the next fastest algorithm, OMSSA. Morpheus was developed in C# .NET and is available free and open source under a permissive license.
TL;DR: A combined glycomics and glycoproteomics strategy was developed for the site-specific analysis of N-linked glycosylation heterogeneity from a complex mammalian protein mixture and allowed confident identification of 863 unique intact N- linked glycopeptides from 161 rat brain glycoproteinins.
Abstract: A combined glycomics and glycoproteomics strategy was developed for the site-specific analysis of N-linked glycosylation heterogeneity from a complex mammalian protein mixture. Initially, global characterization of the N-glycome was performed using porous graphitized carbon liquid chromatography–tandem mass spectrometry (PGC-LC–MS/MS) and the data used to create an N-glycan modification database. In the next step, tryptic glycopeptides were enriched using zwitterionic hydrophilic interaction liquid chromatography (Zic-HILIC) and fractionated by reversed-phase liquid chromatography (RPLC; pH 7.9). The resulting fractions were each separated into two equal aliquots. The first set of aliquots were treated with peptide-N-glycosidase F (PNGase F) to remove N-glycans and the former N-glycopeptides analyzed by nano-RPLC-MS/MS (pH 2.7) and identified by Mascot database search. This enabled the creation of a glycopeptide-centric concatenated database for each fraction. The second set of aliquots was analyzed direc...
TL;DR: This work systematically assessed the impact on phosphosite localization utilizing EThcD in comparison to methods employing either ETD or HCD, respectively, using a defined synthetic phosphopeptide mixture and also using a larger data set of Ti4+-IMAC enrichedosphopeptides from a tryptic human cell line digest.
Abstract: We recently introduced a novel scheme combining electron-transfer and higher-energy collision dissociation (termed EThcD), for improved peptide ion fragmentation and identification. We reasoned that phosphosite localization, one of the major hurdles in high-throughput phosphoproteomics, could also highly benefit from the generation of such EThcD spectra. Here, we systematically assessed the impact on phosphosite localization utilizing EThcD in comparison to methods employing either ETD or HCD, respectively, using a defined synthetic phosphopeptide mixture and also using a larger data set of Ti4+-IMAC enriched phosphopeptides from a tryptic human cell line digest. In combination with a modified version of phosphoRS, we observed that in the majority of cases EThcD generated richer and more confidently identified spectra, resulting in superior phosphosite localization scores. Our data demonstrates the distinctive potential of EThcD for PTM localization, also beyond protein phosphorylation.
TL;DR: A significantly improved O-GlcNAc protein enrichment procedure is demonstrated, which exploits metabolic labeling of cells by azide-modified Glc NAc and copper-mediated Click chemistry for purification of modified proteins on an alkyne-resin.
Abstract: The post-translational modification of proteins with N-acetylglucosamine (O-GlcNAc) is involved in the regulation of a wide variety of cellular processes and associated with a number of chronic diseases. Despite its emerging biological significance, the systematic identification of O-GlcNAc proteins is still challenging. In the present study, we demonstrate a significantly improved O-GlcNAc protein enrichment procedure, which exploits metabolic labeling of cells by azide-modified GlcNAc and copper-mediated Click chemistry for purification of modified proteins on an alkyne-resin. On-resin proteolysis using trypsin followed by LC-MS/MS afforded the identification of around 1500 O-GlcNAc proteins from a single cell line. Subsequent elution of covalently resin bound O-GlcNAc peptides using selective β-elimination enabled the identification of 185 O-GlcNAc modification sites on 80 proteins. To demonstrate the practical utility of the developed approach, we studied the global effects of the O-GlcNAcase inhibitor GlcNAcstatin G on the level of O-GlcNAc modification of cellular proteins. About 200 proteins including several key players involved in the hexosamine signaling pathway showed significantly increased O-GlcNAcylation levels in response to the drug, which further strengthens the link of O-GlcNAc protein modification to cellular nutrient sensing and response.
TL;DR: In depth analysis of the association of these glycosylation changes with disease activity revealed that galactosylation, independent of sialylations, is associated with improvement of RA during pregnancy.
Abstract: Rheumatoid arthritis (RA) is known to improve during pregnancy and to flare after delivery. Changes in the glycosylation of immunoglobulin G (IgG)'s fragment crystallizable (Fc) have been suggested to play a role herein. Recent animal studies indicate that not galactosylation but mainly sialylation is important in this respect. We aim to find new associations between IgG-Fc N-glycosylation and improvement of RA during pregnancy and the flare after delivery. Sera of RA patients (n = 251 pregnancies) and healthy controls (n = 32), all participating in a prospective cohort study on RA and pregnancy (PARA study), were collected before conception, during pregnancy, and after delivery. Using a recently developed fast and robust nanoRP-HPLC-sheath-flow-ESI-MS method the glycosylation of IgG Fc-glycopeptides was measured in a subclass specific manner, with relative standard deviations of <4% for the 8 most abundant IgG Fc glycopeptides during the entire measurement period of over 3 weeks. In patients and controls, several glycosylation changes were observed during pregnancy. In depth analysis of the association of these glycosylation changes with disease activity revealed that galactosylation, independent of sialylation, is associated with improvement of RA during pregnancy. Functional studies in human cell systems should be performed to obtain more insight into this matter.
TL;DR: It is proposed that urine profiling of cohort subjects stratified by consumption is an effective strategy for discovery of sensitive biomarkers of consumption for a wide range of foods.
Abstract: Elucidation of the relationships between genotype, diet, and health requires accurate dietary assessment. In intervention and epidemiological studies, dietary assessment usually relies on questionnaires, which are susceptible to recall bias. An alternative approach is to quantify biomarkers of intake in biofluids, but few such markers have been validated so far. Here we describe the use of metabolomics for the discovery of nutritional biomarkers, using citrus fruits as a case study. Three study designs were compared. Urinary metabolomes were profiled for volunteers that had (a) consumed an acute dose of orange or grapefruit juice, (b) consumed orange juice regularly for one month, and (c) reported high or low consumption of citrus products for a large cohort study. Some signals were found to reflect citrus consumption in all three studies. Proline betaine and flavanone glucuronides were identified as known biomarkers, but various other biomarkers were revealed. Further, many signals that increased after citrus intake in the acute study were not sensitive enough to discriminate high and low citrus consumers in the cohort study. We propose that urine profiling of cohort subjects stratified by consumption is an effective strategy for discovery of sensitive biomarkers of consumption for a wide range of foods.
TL;DR: ReACT enables the first view of these interactions inside cells, and the results acquired with this method suggest cross-linking can play a major role in future efforts to map the interactome in cells.
Abstract: Protein interaction topologies are critical determinants of biological function. Large-scale or proteome-wide measurements of protein interaction topologies in cells currently pose an unmet challenge that could dramatically improve understanding of complex biological systems. A primary impediment includes direct protein topology and interaction measurements from living systems since interactions that lack biological significance may be introduced during cell lysis. Furthermore, many biologically relevant protein interactions will likely not survive the lysis/sample preparation and may only be measured with in vivo methods. As a step toward meeting this challenge, a new mass spectrometry method called Real-time Analysis for Cross-linked peptide Technology (ReACT) has been developed that enables assignment of cross-linked peptides “on-the-fly”. Using ReACT, 708 unique cross-linked (<5% FDR) peptide pairs were identified from cross-linked E. coli cells. These data allow assembly of the first protein interact...
TL;DR: The results showed that the most important CRF-related metabolites were polyunsaturated fatty acids, indoxyl sulfate, and p-cresyl sulfates, which may be helpful to further understand the TGF-β1 mechanisms of tubulointerstitial fibrosis.
Abstract: Chronic kidney disease (CKD) is becoming a worldwide public health problem. In this study, a kidney metabonomics method based on the ultra performance liquid chromatography/high-sensitivity mass spectrometry with MSE data collection technique was undertaken to explore the excretion pattern of low molecular mass metabolites in rat model of adenine-induced chronic renal failure (CRF). Coupled with blood biochemistry and kidney histopathology results, the significant difference in metabolic profiling between the adenine-induced CRF group and the control group by using pattern recognition analysis indicated that changes in global tissue metabolites were occurred. Some significantly changed metabolites like fatty acids, p-cresol sulfate, and indoxyl sulfate have been identified. The results showed that the most important CRF-related metabolites were polyunsaturated fatty acids, indoxyl sulfate, and p-cresyl sulfate. Indoxyl sulfate and p-cresyl sulfate (uremic toxins) were significantly increased in CRF rats. ...
TL;DR: The predigestion of milk proteins and the consequent release of antibacterial peptides may provide a selective advantage through evolution by protecting both the mother's mammary gland and her nursing offspring from infection.
Abstract: Milk is traditionally considered an ideal source of the basic elemental nutrients required by infants. More detailed examination is revealing that milk represents a more functional ensemble of components with benefits to both infants and mothers. A comprehensive peptidomics method was developed and used to analyze human milk yielding an extensive array of protein products present in the fluid. Over 300 milk peptides were identified originating from major and many minor protein components of milk. As expected, the majority of peptides derived from β-casein, however no peptide fragments from the major milk proteins lactoferrin, α-lactalbumin, and secretory immunoglobulin A were identified. Proteolysis in the mammary gland is selective—released peptides were drawn only from specific proteins and typically from only select parts of the parent sequence. A large number of the peptides showed significant sequence overlap with peptides with known antimicrobial or immunomodulatory functions. Antibacterial assays s...
TL;DR: The combined metabonomic analysis of multiple biological matrices is demonstrated as a powerful approach for understanding the molecular basis of pathogenesis and disease progression of high-fat diet-induced obesity.
Abstract: Obesity is a condition resulting from the interactions of individual biology and environmental factors causing multiple complications. To understand the system’s metabolic changes associated with the obesity development and progression, we systematically analyzed the dynamic metabonomic changes induced by a high-fat diet (HFD) in multiple biological matrices of rats using NMR and GC-FID/MS techniques. Clinical chemistry and histopathological data were obtained as complementary information. We found that HFD intakes caused systematic metabolic changes in blood plasma, liver, and urine samples involving multiple metabolic pathways including glycolysis, TCA cycle, and gut microbiota functions together with the metabolisms of fatty acids, amino acids, choline, B-vitamins, purines, and pyrimidines. The HFD-induced metabolic variations were detectable in rat urine a week after HFD intake and showed clear dependence on the intake duration. B-vitamins and gut microbiota played important roles in the obesity devel...
TL;DR: This study underscores the central role of Clp-proteolysis in a number of pathways that contribute to the success of S. aureus as a human pathogen and identifies substrates of the ClpP protease involved in DNA damage repair and protein synthesis.
Abstract: In the important human pathogen Staph- ylococcus aureus the cytoplasmic ClpP protease is essential for mounting cellular stress responses and for virulence. To directly identify substrates of the ClpP protease, we expressed in vivo a proteolytic inactive form of ClpP (ClpP trap ) that will retain but not degrade substrates translocated into its proteolytic chamber. Substrates captured inside the proteolytic barrel were co-purified along with the His-tagged ClpP complex and identified by mass spectrometry. In total, approximately 70 proteins were trapped in both of the two S. aureus strains NCTC8325-4 and Newman. About one-third of the trapped proteins are previously shown to be unstable or to be substrates of ClpP in other bacteria, supporting the validity of the ClpP-TRAP. This group of proteins encompassed the transcriptional regulators CtsR and Spx, the ClpC adaptor proteins McsB and MecA, and the cell division protein FtsZ. Newly identified ClpP substrates include the global transcriptional regulators PerR and HrcA, proteins involved in DNA damage repair (RecA, UvrA, UvrB), and proteins essential for protein synthesis (RpoB and Tuf). Our study hence underscores the central role of Clp-proteolysis in a number of pathways that contribute to the success of S. aureus as a human pathogen.
TL;DR: It is found that this latest PeptideAtlas build includes at least one peptide for each of ~12500 Swiss-Prot entries, leaving ~7500 gene products yet to be confidently cataloged, and characterize these "PA-unseen" proteins in terms of tissue localization, transcript abundance, and Gene Ontology enrichment.
Abstract: The Human Proteome Project was launched in September 2010 with the goal of characterizing at least one protein product from each protein-coding gene. Here we assess how much of the proteome has been detected to date via tandem mass spectrometry by analyzing PeptideAtlas, a compendium of human derived LC-MS/MS proteomics data from many laboratories around the world. All data sets are processed with a consistent set of parameters using the Trans-Proteomic Pipeline and subjected to a 1% protein FDR filter before inclusion in PeptideAtlas. Therefore, PeptideAtlas contains only high confidence protein identifications. To increase proteome coverage, we explored new comprehensive public data sources for data likely to add new proteins to the Human PeptideAtlas. We then folded these data into a Human PeptideAtlas 2012 build and mapped it to Swiss-Prot, a protein sequence database curated to contain one entry per human protein coding gene. We find that this latest PeptideAtlas build includes at least one peptide for each of ~12500 Swiss-Prot entries, leaving ~7500 gene products yet to be confidently cataloged. We characterize these "PA-unseen" proteins in terms of tissue localization, transcript abundance, and Gene Ontology enrichment, and propose reasons for their absence from PeptideAtlas and strategies for detecting them in the future.
TL;DR: The CTD cleavage site of 10 different proteins from 3 different species was determined and found to be similar to the Cleavage site previously determined in P. gingivalis, suggesting that homologues of the C-terminal signal peptidase (PG0026) are responsible for the cleavage in these species.
Abstract: The secretion of certain proteins in Porphyromonas gingivalis is dependent on a C-terminal domain (CTD). After secretion, the CTD is cleaved prior to extensive modification of the mature protein, probably with lipopolysaccharide, therefore enabling attachment to the cell surface. In this study, bioinformatic analyses of the CTD demonstrated the presence of three conserved sequence motifs. These motifs were used to construct Hidden Markov Models (HMMs) that predicted 663 CTD-containing proteins in 21 fully sequenced species of the Bacteroidetes phylum, while no CTD-containing proteins were predicted in species outside this phylum. Further HMM searching of Cytophaga hutchinsonii led to a total of 171 predicted CTD proteins in that organism alone. Proteomic analyses of membrane fractions and culture fluid derived from P. gingivalis and four other species containing predicted CTDs (Parabacteroides distasonis, Prevotella intermedia, Tannerella forsythia, and C. hutchinsonii) demonstrated that membrane localization, extensive post-translational modification, and CTD-cleavage were conserved features of the secretion system. The CTD cleavage site of 10 different proteins from 3 different species was determined and found to be similar to the cleavage site previously determined in P. gingivalis, suggesting that homologues of the C-terminal signal peptidase (PG0026) are responsible for the cleavage in these species.
TL;DR: How neXtProt contributes to prioritize C-HPP efforts and integrates C-hPP results with other research efforts to create a complete human proteome catalog is described.
Abstract: About 5000 (25%) of the ~20400 human protein-coding genes currently lack any experimental evidence at the protein level. For many others, there is only little information relative to their abundance, distribution, subcellular localization, interactions, or cellular functions. The aim of the HUPO Human Proteome Project (HPP, www.thehpp.org ) is to collect this information for every human protein. HPP is based on three major pillars: mass spectrometry (MS), antibody/affinity capture reagents (Ab), and bioinformatics-driven knowledge base (KB). To meet this objective, the Chromosome-Centric Human Proteome Project (C-HPP) proposes to build this catalog chromosome-by-chromosome ( www.c-hpp.org ) by focusing primarily on proteins that currently lack MS evidence or Ab detection. These are termed "missing proteins" by the HPP consortium. The lack of observation of a protein can be due to various factors including incorrect and incomplete gene annotation, low or restricted expression, or instability. neXtProt ( www.nextprot.org ) is a new web-based knowledge platform specific for human proteins that aims to complement UniProtKB/Swiss-Prot ( www.uniprot.org ) with detailed information obtained from carefully selected high-throughput experiments on genomic variation, post-translational modifications, as well as protein expression in tissues and cells. This article describes how neXtProt contributes to prioritize C-HPP efforts and integrates C-HPP results with other research efforts to create a complete human proteome catalog.
TL;DR: Results suggest that ABA might be involved in the enhancement of flooding tolerance of soybean through the control of energy conservation via glycolytic system and the regulation on zinc finger proteins, cell division cycle 5 protein and transducin.
Abstract: Flooding is a serious problem for soybean cultivation because it markedly reduces growth. To investigate the role of phytohormones in soybean under flooding stress, gel-free proteomic technique was used. When 2-day-old soybeans were flooded, the content of abscisic acid (ABA) did not decrease in the root, though its content decreased in untreated plant. When ABA was added during flooding treatment, survival ratio was improved compared with that of soybeans flooded without ABA. When 2-day-old soybeans were flooded with ABA, the abundance of proteins related to cell organization, vesicle transport and glycolysis decreased compared with those in root of soybeans flooded without ABA. Furthermore, the nuclear proteins were analyzed to identify the transcriptional regulation. The abundance of 34 nuclear proteins such as histone deacetylase and U2 small nuclear ribonucleoprotein increased by ABA supplementation under flooding; however, 35 nuclear proteins such as importin alpha, chromatin remodeling factor, zinc...