Quantitative proteome profiling of normal human circulating microparticles

Circulating microparticles (MPs) are produced as part of normal physiology. Their numbers, origin, and composition change in pathology. Despite this, the normal MP proteome has not yet been characterized with standardized high-resolution methods. We here quantitatively profile the normal MP proteome using nano-LC-MS/MS on an LTQ-Orbitrap with optimized sample collection, preparation, and analysis of 12 different normal samples. Analytical and procedural variation were estimated in triply processed samples analyzed in triplicate from two different donors. Label-free quantitation was validated by the correlation of cytoskeletal protein intensities with MP numbers obtained by flow cytometry. Finally, the validity of using pooled samples was evaluated using overlap protein identification numbers and multivariate data analysis. Using conservative parameters, 536 different unique proteins were quantitated. Of these, 334 (63%) were present in all samples and represent an MP core proteome. Technical triplicates showed <10% variation in intensity within a dynamic range of almost 5 decades. Differences due to variable MP numbers and losses during preparative steps could be normalized using cytoskeletal MP protein intensities. Our results establish a reproducible LC-MS/MS procedure, provide a simple and robust MP preparation method, and yield a baseline MP proteome for future studies of MPs in health and disease.     

Quantitative analysis of redox-sensitive proteome with DIGE and ICAT

Oxidative modifications of protein thiols are important mechanisms for regulating protein functions. The present study aimed to compare the relative effectiveness of two thiol-specific quantitative proteomic techniques, difference gel electrophoresis (DIGE) and isotope coded affinity tag (ICAT), for the discovery of redox-sensitive proteins in heart tissues. We found that these two methods were largely complementary; each could be used to reveal a set of unique redox-sensitive proteins. Some of these proteins are low-abundant signaling proteins and membrane proteins. From DIGE analysis, we found that both NF-kappaB-repressing protein and epoxide hydrolase were sensitive to H 2O 2 oxidation. In ICAT analysis, we found that specific cysteines within sacroplasmic endoplamic reticulum calcium ATPase 2 and voltage-dependent anion-selective channel protein 1 were sensitive to H 2O 2 oxidation. From these analyses, we conclude that both methods should be employed for proteome-wide studies, to maximize the possibility of identifying proteins containing redox-sensitive cysteinyl thiols in complex biological systems.     

Quantitative whole-cell proteome analysis of pseudorabies virus-infected cells

A quantitative proteome study using the stable isotope labeling with amino acids in cell culture technique was performed on bovine kidney cells after infection with the alphaherpesvirus pseudorabies virus (PrV), the etiological agent of Aujeszky's disease. To enhance yields of proteins to be identified, raw extracts were fractionated by affinity solid-phase extraction with a combination of a cibacron blue F3G-A and a heparin matrix and with a phosphoprotein-specific matrix. After two-dimensional gel electrophoresis in different pH ranges between pH 3 and pH 10, 2,600 proteins representing 565 genes were identified by mass spectrometry and screened for virus-induced changes in relative protein levels. Four hours after infection, significant quantitative variations were found for constituents of the nuclear lamina, representatives of the heterogeneous nuclear ribonucleoproteins, proteins involved in membrane trafficking and intracellular transport, a ribosomal protein, and heat shock protein 27. Several proteins were present in multiple charge variants that were differentially affected by infection with PrV. As a common pattern for all these proteins, a mass shift in favor of the more acidic isoforms was observed, suggesting the involvement of viral or cellular kinases.     

Comparative proteome analysis of breast cancer and normal breast

Breast cancer is a leading cause of death for women. The underlying molecular mechanism is still not well understood. In this study, two-dimensional gel electrophoresis combined with mass spectrometry was used to analyze changes in the proteome of infiltrating ductal carcinoma compared to normal breast tissue. Ten sets of two-dimensional gels per experimental condition were analyzed and more than 500 spots each were detected. This revealed 39 spots for which expression in breast cancer cells were reproducibly altered more than twofold compared to normal controls (p<0.01). These spots represented 25 different proteins after identification using the database search after mass spectrometry, comprising cell defense proteins, enzymes involved in glycolytic energy metabolism and homeostasis, protein folding and structural proteins, proteins involved in cytoskeleton and cell motility, and proteins involved in other functions. In addition, 28 nondifferentially expressed proteins with different functions were also mapped and identified, which might help to establish a two-dimensional gel electrophoresis reference map of human breast cancer. Our study shows that proteomics offers a powerful methodology to detect the proteins that show different expression patterns in breast cancer tissue and may provide an accurate molecular classification. The differentially expressed proteins may be used as potential candidate markers for diagnostic purposes or for determination of tumor sensitivity to therapy. The functional implications of the identified proteins are discussed.     

Trabecular shear stress in human vertebral cancellous bone: intra- and inter-individual variations

Correlation of the mean and standard deviation of trabecular stresses has been proposed as a mechanism by which a strong relationship between the apparent strength and stiffness of cancellous bone can be achieved. The current study examined whether the relationship between the mean and standard deviation of trabecular von Mises stresses can be generalized for any group of cancellous bone. Cylindrical human vertebral cancellous bone specimens were cut in the infero-superior direction from T12 of 23 individuals (inter-individual group). Thirty nine additional specimens were prepared similarly from the T4-T12 and L2-L5 vertebrae of a 63 year old male (intra-individual group). The specimens were scanned by micro-computed tomography (microCT) and trabecular von Mises stresses were calculated using finite element modeling. The expected value, standard deviation and coefficient of variation of the von Mises stress were calculated form a three-parameter Weibull function fitted to von Mises stress data from each specimen. It was found that the average and standard deviation of trabecular von Mises shear stress were: (i) correlated with each other, supporting the idea that high correlation between the apparent strength and stiffness of cancellous bone can be achieved through controlling the trabecular level shear stress variations, (ii) dependent on anatomical site and sample group, suggesting that the variation of stresses are correlated to the mean stress to different degrees between vertebrae and individuals, and (iii) dependent on bone volume fraction, consistent with the idea that shear stress is less well controlled in bones with low BV/TV. The conversion of infero-superior loading into trabecular von Mises stresses was maximum for the tissue at the junction of the thoracic and lumbar spine (T12-L1) consistent with this junction being a common site of vertebral fracture.     

Quantitative and temporal proteome analysis of butyrate-treated colorectal cancer cells

Colorectal cancer is one of the most common cancers in developed countries, and its incidence is negatively associated with high dietary fiber intake. Butyrate, a short-chain fatty acid fermentation by-product of fiber induces cell maturation with the promotion of growth arrest, differentiation, and/or apoptosis of cancer cells. The stimulation of cell maturation by butyrate in colonic cancer cells follows a temporal progression from the early phase of growth arrest to the activation of apoptotic cascades. Previously we performed two-dimensional DIGE to identify differentially expressed proteins induced by 24-h butyrate treatment of HCT-116 colorectal cancer cells. Herein we used quantitative proteomics approaches using iTRAQ (isobaric tags for relative and absolute quantitation), a stable isotope labeling methodology that enables multiplexing of four samples, for a temporal study of HCT-116 cells treated with butyrate. In addition, cleavable ICAT, which selectively tags cysteine-containing proteins, was also used, and the results complemented those obtained from the iTRAQ strategy. Selected protein targets were validated by real time PCR and Western blotting. A model is proposed to illustrate our findings from this temporal analysis of the butyrate-responsive proteome that uncovered several integrated cellular processes and pathways involved in growth arrest, apoptosis, and metastasis. These signature clusters of butyrate-regulated pathways are potential targets for novel chemopreventive and therapeutic drugs for treatment of colorectal cancer.     

Quantitative analysis of biofilm thickness variability

The thickness variability of biofilms of Pseudomonas aeruginosa, Klebsiella pneumoniae, and the binary population combination of these two species was quantified. The experimental method involved cryoembedding biofilms with a commercial tissue embedding agent, sectioning, and applying image analysis to construct thickness profiles along linear transects (up to 1 cm in length) across the substratum. Biofilms embedded and sectioned by this method were locally as thin as a single cell attached to the surface (<5 mum) and as thick as 1000 mum. Week-old biofilms of three different species compositions displayed distinct structural features as indicated by their mean thicknesses and by a roughness coefficient. Monopopulation biofilms of P. aeruginosa (29 mum mean thickness) or K. pneumoniae (100 mum mean thickness) were thinner than the binary population biofilm (400 mum mean thickness). A roughness coefficient developed in this investigation corroborated the qualitative visual characterization of P. aeruginosa biofilms as relatively uniformly thick (mean roughness coefficient 0.15), K. pneumoniae biofilms as patchy (mean roughness coefficient 1.14), and the binary population biofilm as intermediate (mean roughness coefficient 0.26). Whereas P. aeruginosa and binary population biofilms covered the substratum completely, significant areas of essentially bare substratum were apparent in K. pneumoniae biofilms. The patchiness of K. pneumoniae biofilms may be due to the fact that this organism is nonmotile. A spatial correlation analysis of the thickness data indicated that thickness measurements were still correlated even when separated by distances that exceeded the mean biofilm thickness. Cell aggregates, some of them hundreds of microns in size, were observed in the effluent of K. pneumoniae and binary population biofilm reactors. Measurements of thickness variability and other observations reported in this article provide a quantitative basis for analysis of microscale structural heterogeneity of biofilms. (c) 1995 John Wiley & Sons, Inc.     

Expansion of the human mitochondrial proteome by intra- and inter-compartmental protein duplication

Background  

Mitochondria are highly complex, membrane-enclosed organelles that are essential to the eukaryotic cell. The experimental elucidation of organellar proteomes combined with the sequencing of complete genomes allows us to trace the evolution of the mitochondrial proteome.     

Quantitative proteome analysis by solid-phase isotope tagging and mass spectrometry

The adaptation of sequences of chemical reactions to a solid-phase format has been essential to the automation, reproducibility, and efficiency of a number of biotechnological processes including peptide and oligonucleotide synthesis and sequencing. Here we describe a method for the site-specific, stable isotopic labeling of cysteinyl peptides in complex peptide mixtures through a solid-phase capture and release process, and the concomitant isolation of the labeled peptides. The recovered peptides were analyzed by microcapillary liquid chromatography and tandem mass spectrometry (microLC-MS/MS) to determine their sequences and relative quantities. The method was used to detect galactose-induced changes in protein abundance in the yeast Saccharomyces cerevisiae. A side-by-side comparison with the isotope-coded affinity tag (ICAT) method demonstrated that the solid-phase method for stable isotope tagging of peptides is comparatively simpler, more efficient, and more sensitive.     

Quantitative proteome analysis using isotope-coded affinity tags and mass spectrometry

A main objective of proteomics research is to systematically identify and quantify proteins in a given proteome (cells, subcellular fractions, protein complexes, tissues or body fluids). Protein labeling with isotope-coded affinity tags (ICAT) followed by tandem mass spectrometry allows sequence identification and accurate quantification of proteins in complex mixtures, and has been applied to the analysis of global protein expression changes, protein changes in subcellular fractions, components of protein complexes, protein secretion and body fluids. This protocol describes protein-sample labeling with ICAT reagents, chromatographic fractionation of the ICAT-labeled tryptic peptides, and protein identification and quantification using tandem mass spectrometry. The method is suitable for both large-scale analysis of complex samples including whole proteomes and small-scale analysis of subproteomes, and allows quantitative analysis of proteins, including those that are difficult to analyze by gel-based proteomics technology.     

Quantitative analysis of the yeast proteome by incorporation of isotopically labeled leucine

Quantitative comparison of protein expression levels in 2D gels is complicated by the variables associated with protein separation and mass spectrometric responses. Metabolic labeling allows cells from different experiments to be mixed prior to analysis. This approach has been reported for prokaryotic cells. Here, we demonstrate that metabolic labeling can also be successfully applied to the eukaryote Saccharormyces cerevisiae. Yeast leucine auxotrophs grown on synthetic complete media containing natural abundance Leu or D10-Leu were mixed prior to 2D gel separation and MALDI analysis of the digested proteins. D10-Leu labeling provided an effective internal calibrant for peptide MS analysis, and the number of Leu residues yielded an additional parameter for peptide identification at low mass resolution (1000). Metabolic incorporation of D10-Leu into yeast proteins was found to be quantitative since the intensities of the peptide peaks corresponded to those expected on the basis of the percent label in the media. Thus, D10-Leu labeling should provide reliable data for comparing proteomes both quantitatively and qualitatively from wild-type and nonessential-gene-null-mutant strains of S. cerevisiae. Given the central role played by yeast in our understanding of eukaryotic gene and protein expression, it is anticipated that the quantitative expressional proteomic method outlined here will have widespread applications.     

Whisker isotopic signature depicts migration patterns and multi-year intra- and inter-individual foraging strategies in fur seals

The movement and dietary history of individuals can be studied using stable isotope records in archival keratinous tissues. Here, we present a chronology of temporally fine-scale data on the trophic niche of otariid seals by measuring the isotopic signature of serially sampled whiskers. Whiskers of male Antarctic fur seals breeding at the Crozet Islands showed synchronous and regular oscillations in both their δ¹³C and δ¹⁵N values that are likely to represent their annual migrations over the long term (mean 4.8 years). At the population level, male Antarctic fur seals showed substantial variation in both δ¹³C and δ¹⁵N values, occupying nearly all the ‘isotopic space’ created by the diversity of potential oceanic habitats (from high Antarctica to the subtropics) and prey (from Antarctic krill to subantarctic and subtropical mesopelagic fishes). At the individual level, whisker isotopic signatures depict a large diversity of foraging strategies. Some seals remained in either subantarctic or Antarctic waters, while the migratory cycle of most animals encompassed a wide latitudinal gradient where they fed on different prey. The isotopic signature of whiskers, therefore, revealed new multi-year foraging strategies of male Antarctic fur seals and is a powerful tool for investigating the ecological niche during cryptic stages of mammals'' life.     

Quantitative analysis of the murine lipid droplet-associated proteome during diet-induced hepatic steatosis

Hepatic steatosis is characterized by the accumulation of lipid droplets (LDs), which are composed of a neutral lipid core surrounded by a phospholipid monolayer embedded with many proteins. Although the LD-associated proteome has been investigated in multiple tissues and organisms, the dynamic changes in the murine LD-associated proteome in response to obesity and hepatic steatosis have not been studied. We characterized the hepatic LD-associated proteome of C57BL/6J male mouse livers following high-fat feeding using isobaric tagging for relative and absolute quantification. Of the 1,520 proteins identified with a 5% local false discovery rate, we report a total of 48 proteins that were increased and 52 proteins that were decreased on LDs in response to high-fat feeding. Most notably, ribosomal and endoplasmic reticulum proteins were increased and extracellular and cytosolic proteins were decreased in response to high-fat feeding. Additionally, many proteins involved in fatty acid catabolism or xenobiotic metabolism were enriched in the LD fraction following high-fat feeding. In contrast, proteins involved in glucose metabolism and liver X receptor or retinoid X receptor activation were decreased on LDs of high-fat-fed mice. This study provides insights into unique biological functions of hepatic LDs under normal and steatotic conditions.     

Quantitative erythrocyte membrane proteome analysis with Blue-Native/SDS PAGE

The erythrocyte membrane plays a pivotal role in erythrocyte functioning. Many membrane protein aberrations are known that result in hemolytic anemia, however, the origin of numerous disorders is not known to date. To extend the current set of diagnostic tools, we used a novel proteome-wide approach to quantitatively analyze membrane proteins of healthy donor and patient erythrocytes. Blue-native PAGE has proven to be a powerful tool for separation of membrane proteins and their complexes, but has hitherto not been applied to erythrocyte membranes to find biomarkers. Using this technique, we detected almost 150 protein spots, from which more than 500 proteins could be identified by LC-MS/MS. Further, we successfully assessed the potential of using CyDye labeling to quantify the membrane proteins. Our final goal was to determine if this approach is suited to detect protein level changes in disordered erythrocyte membranes, and we could successfully confirm that erythrocyte spectrin levels were dramatically decreased for a hemolytic anemia patient.This approach provides a new tool to detect potential biomarkers and can contribute to an improved understanding of the causes of erythrocyte membrane defects in patients suffering from hemolytic anemia.     

Quantitative proteome analysis of the 20S proteasome of apoptotic Jurkat T cells

Regulated proteolysis plays important roles in cell biology and pathological conditions. A crosstalk exists between apoptosis and the ubiquitin?Cproteasome system, two pathways responsible for regulated proteolysis executed by different proteases. To investigate whether the apoptotic process also affects the 20S proteasome, we performed three independent SILAC-based quantitative proteome approaches: 1-DE/MALDI-MS, small 2-DE/MALDI-MS and large 2-DE/nano-LC?CESI?CMS. Taking the results of all experiments together, no quantitative changes were observed for the ??- and ??-subunits of the 20S proteasome except for subunit ??7. This protein was identified in two protein spots with a down-regulation of the more acidic protein species (??7a) and up-regulation of the more basic protein species (??7b) during apoptosis. The difference in these two ??7 protein species could be attributed to oxidation of cysteine-41 to cysteine sulfonic acid and phosphorylation at serine-250 near the C terminus in ??7a, whereas these modifications were missing in ??7b. These results pointed to the biological significance of posttranslational modifications of proteasome subunit ??7 after induction of apoptosis.     

Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach

Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteomic technology of isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled with two‐dimensional‐liquid chromatography‐tandem mass spectrometry, 1,259 unique proteins were identified. Of those, 205 were potentially differentially expressed between ovarian cancer and normal ovarian tissues. Several of the potentially differentially expressed proteins were validated by Western blotting and real‐time quantitative RT‐PCR analyses. Furthermore, up‐regulation of KRT8, PPA1, IDH2, and S100A11 were validated in ovarian tissue microarrays by immunohistochemistry. Silencing of S100A11 expression suppressed the migration and invasion properties of ovarian cancer cells in vitro. Our study represents the successful application of iTRAQ technology to an investigation of ovarian cancer. Many of the potentially differentially expressed proteins identified had not been linked to ovarian cancer before, and provide valuable novel insights into the underlying mechanisms of carcinogenesis in human ovarian cancer. J. Cell. Biochem. 113: 3762–3772, 2012. © 2012 Wiley Periodicals, Inc.     

Quantitative analysis of the transgene variability among primary tobacco transformants

The aim of this study was to develop a model for the quantitative estimation of the genetic and environmental variance components in the first generation (T₁) of transgenic plants, in which the transgene effect is considered as a source of genetic variation. The experimental population consisted of T₁ independent transgenic plants (ITPs). Forty-two ITPs of tobacco were generated, containing a chimaeric gene comprising the cauliflower mosaic virus (CaMV) 35S promoter and the reporter gene -glucuronidase (GUS). From each ITP, four cuttings were grown in a randomized block design, and GUS activity in the leaves was determined. The mean GUS activity of the ITPs ranged from 0.55 to 167.9 pmol MU per mg protein per min. Testing of the statistical assumptions of the model revealed a significant scale effect, resulting from correlation between the intra-ITP variance and the average GUS activity of the ITPs. Log GUS activity (LGA) and power of –0.15 of GUS activity (TGA) scale transformations eliminated the scale effect. For GUS activity, the inter-ITP variance was only 28% of the total variance in the experiment, whereas for LGA and TGA it was 72% and 76%, respectively. The opposite was true for the intra-ITP variance, which was reduced from 58% to 18% and 16%, respectively. The experimental design allowed partitioning of the phenotypic variance in T₁ transgenic plants into genetic and environmental components. According to the original scale GUS activity, most of the phenotypic variance was due to environmental variance; the common tendency to interpret this variance as an outcome of position effect and other genetic changes due to transformation leads to incorrect findings. In the present example, after scale transformation the genetic component was 80% of the phenotypic variance.