Identification of proteins of potential diagnostic value for bovine paratuberculosis

Previously we showed that Mycobacterium paratuberculosis culture filtrates (CFs) contain more antigens that react with sera from infected cattle than do cellular extracts of the organism. The goal of the present study was to identify proteins of potential diagnostic value among these CF proteins. Proteins of potential interest were first separated by 2-DE. Roughly 240 CF protein spots were detected on CBB-stained gels using Phoretix 2D software. Of these, 83% reacted with serum from M. paratuberculosis-infected cattle in immunoblots. When bovine serum was absorbed with M. phlei antigens, however, only 37 of these antigenic protein spots were reactive. Twenty-four of these spots were selected for identification based on their immunoblot staining intensity and differences in pI and mass. A total of 14 proteins were ultimately identified by MS and BLAST searches as ModD, PepA, ArgJ, CobT, Antigen 85C, and nine hypothetical proteins. N-terminal peptide analysis of PepA, Antigen 85C, ModD, MAP1693c, MAP2168c, and MAP1022c showed that each protein has 27-39 amino acids that may function as a signal sequence suggesting they are secreted through a Sec-dependent pathway. These 14 proteins from M. paratuberculosis CF are strong candidates for use as antigens for improved serodiagnostic tests for bovine paratuberculosis.     

A label‐free internal standard method for the differential analysis of bioactive lupin proteins using nano HPLC‐Chip coupled with Ion Trap mass spectrometry

Quantitative proteomics based on MS is useful for pointing out the differences in some food proteomes relevant to human nutrition. Stable isotope label‐free (SIF) techniques are suitable for comparing an unlimited number of samples by the use of relatively simple experimental workflows. We have developed an internal standard label‐free method based on the intensities of peptide precursor ions from MS/MS spectra, collected in data dependent runs, for the simultaneous qualitative characterization and relative quantification of storage proteins of Lupinus albus seeds in protein extracts of four lupin cultivars (cv Adam, Arés, Lucky, Multitalia). The use of an innovative microfluidic system, the HPLC‐Chip, coupled with a classical IT mass spectrometer, has allowed a complete qualitative characterization of all proteins. In particular, the homology search mode has permitted to identify single amino acid substitutions in the sequences of vicilins (β‐conglutin precursor and vicilin‐like protein). The MS/MS sequencing of substituted peptides confirms the high heterogeneity of vicilins according to the peculiar characteristics of the vicilin‐encoding gene family. Two suitable bioinformatics parameters were optimized for the differential analyses of the main bioactive proteins: the “normalized protein average of common reproducible peptides” (N‐ACRP) for γ‐conglutin, which is a homogeneous protein, and the “normalized protein mean peptide spectral intensity” (N‐MEAN) for the highly heterogenous class of the vicilins.     

Sorting signals, N-terminal modifications and abundance of the chloroplast proteome

Characterization of the chloroplast proteome is needed to understand the essential contribution of the chloroplast to plant growth and development. Here we present a large scale analysis by nanoLC-Q-TOF and nanoLC-LTQ-Orbitrap mass spectrometry (MS) of ten independent chloroplast preparations from Arabidopsis thaliana which unambiguously identified 1325 proteins. Novel proteins include various kinases and putative nucleotide binding proteins. Based on repeated and independent MS based protein identifications requiring multiple matched peptide sequences, as well as literature, 916 nuclear-encoded proteins were assigned with high confidence to the plastid, of which 86% had a predicted chloroplast transit peptide (cTP). The protein abundance of soluble stromal proteins was calculated from normalized spectral counts from LTQ-Obitrap analysis and was found to cover four orders of magnitude. Comparison to gel-based quantification demonstrates that 'spectral counting' can provide large scale protein quantification for Arabidopsis. This quantitative information was used to determine possible biases for protein targeting prediction by TargetP and also to understand the significance of protein contaminants. The abundance data for 550 stromal proteins was used to understand abundance of metabolic pathways and chloroplast processes. We highlight the abundance of 48 stromal proteins involved in post-translational proteome homeostasis (including aminopeptidases, proteases, deformylases, chaperones, protein sorting components) and discuss the biological implications. N-terminal modifications were identified for a subset of nuclear- and chloroplast-encoded proteins and a novel N-terminal acetylation motif was discovered. Analysis of cTPs and their cleavage sites of Arabidopsis chloroplast proteins, as well as their predicted rice homologues, identified new species-dependent features, which will facilitate improved subcellular localization prediction. No evidence was found for suggested targeting via the secretory system. This study provides the most comprehensive chloroplast proteome analysis to date and an expanded Plant Proteome Database (PPDB) in which all MS data are projected on identified gene models.     

Comparative proteome profiling of bovine and human Staphylococcus epidermidis strains for screening specifically expressed virulence and adaptation proteins

The present study reports a comparative proteome cataloging of a bovine mastitis and a human‐associated Staphylococcus epidermidis strain with a specific focus on surfome (cell‐wall bound and extracellular) proteins. Protein identification by 1DE coupled with LC‐MS/MS analyses resulted in 1400 and 1287 proteins from the bovine (PM221) and human (ATCC12228) strains, respectively, covering over 50% of all predicted and more than 30% of all predicted surfome proteins in both strains. Comparison of the identification results suggests elevated levels of proteins involved in adherence, biofilm formation, signal transduction, house‐keeping functions, and immune evasion in PM221, whereas ATCC12228 was more effective in expressing host defense evasion proteases, skin adaptation lipases, hemagglutination, and heavy‐metal resistance proteins. Phenotypic analyses showed that only PM221 displays protein‐ and DNA‐mediated adherent growth, and that PM221 was more efficient in cleaving tributyrin, a natural compound of milk fat under low CO₂ conditions. These findings are in line with the identification data and suggest that distinct expression of lipases and adhesive surfome proteins could lead to the observed phenotypes. This study is the first extensive survey of S. epidermidis proteomes to date, providing several protein candidates to be examined for their roles in adaptation and virulence in vivo. All MS data have been deposited in the ProteomeXchange with identifier PXD000404 ( http://proteomecentral.proteomexchange.org/dataset/PXD000404 ).     

Differential expression analysis of Escherichia coli proteins using a novel software for relative quantitation of LC-MS/MS data

The study of changes in protein levels between samples derived from cells representing different biological conditions is a key to the understanding of cellular function. There are two main methods available that allow both for global scanning for significantly varying proteins and targeted profiling of proteins of interest. One method is based on 2-D gel electrophoresis and image analysis of labelled proteins. The other method is based on LC-MS/MS analysis of either unlabelled peptides or peptides derived from isotopically labelled proteins or peptides. In this study, the non-labelling approach was used involving a new software, DeCyder MS Differential Analysis Software (DeCyder MS) intended for automated detection and relative quantitation of unlabelled peptides in LC-MS/MS data.Total protein extracts of E. coli strains expressing varying levels of dihydrofolate reductase and integron integrase were digested with trypsin and analyzed using a nanoscale liquid chromatography system, Ettan MDLC, online connected to an LTQTM linear ion-trap mass spectrometer fitted with a nanospray interface. Acquired MS data were subjected to DeCyder MS analysis where 2-D representations of the peptide patterns from individual LC-MS/MS analyses were matched and compared.This approach to unlabelled quantitative analysis of the E. coli proteome resulted in relative protein abundances that were in good agreement with results obtained from traditional methods for measuring protein levels.     

Analysis of the rat hypothalamus proteome by data‐independent label‐free LC‐MS/MS

Studies of neuronal, endocrine, and metabolic disorders would be facilitated by characterization of the hypothalamus proteome. Protein extracts prepared from 16 whole rat hypothalami were measured by data‐independent label‐free nano LC‐MS/MS. Peptide features were detected, aligned, and searched against a rat Swiss‐Prot database using ProteinLynx Global Server v.2.5. The final combined dataset comprised 21 455 peptides, corresponding to 622 unique proteins, each identified by a minimum of two distinct peptides. The majority of the proteins (69%) were cytosolic, and 16% were membrane proteins. Important proteins involved in neurological and synaptic function were identified including several members of the Ras‐related protein family and proteins involved in glutamate biosynthesis.     

Proteomic analysis of cold adaptation in a Siberian permafrost bacterium--Exiguobacterium sibiricum 255-15 by two-dimensional liquid separation coupled with mass spectrometry

Bacterial cold adaptation in Exiguobacterium sibiricum 255-15 was studied on a proteomic scale using a 2-D liquid phase separation coupled with MS technology. Whole-cell lysates of E. sibiricum 255-15 grown at 4 degrees C and 25 degrees C were first fractionated according to pI by chromatofocusing (CF), and further separated based on hydrophobicity by nonporous silica RP HPLC (NPS-RP-HPLC) which was on-line coupled with an ESI-TOF MS for intact protein M(r) measurement and quantitative interlysate comparison. Mass maps were created to visualize the differences in protein expression between different growth temperatures. The differentially expressed proteins were then identified by PMF using a MALDI-TOF MS and peptide sequencing by MS/MS with a MALDI quadrupole IT TOF mass spectrometer (MALDI-QIT-TOF MS). A total of over 500 proteins were detected in this study, of which 256 were identified. Among these proteins 39 were cold acclimation proteins (Caps) that were preferentially or uniquely expressed at 4 degrees C and three were homologous cold shock proteins (Csps). The homologous Csps were found to be similarly expressed at 4 degrees C and 25 degrees C, where these three homologous Csps represent about 10% of the total soluble proteins at both 4 degrees C and 25 degrees C.     

Proteomic characterization of the acute-phase response of yellow stingrays Urobatis jamaicensis after injection with a Vibrio anguillarum-ordalii bacterin

Systemic inflammatory responses of mammals and bony fish are primarily driven by coordinated up-regulation and down-regulation of plasma acute-phase proteins. Although this general principle is believed to be universal among vertebrates, it remains relatively unexplored in elasmobranchs. The objective of this study was to characterize acute changes in the plasma proteome of three yellow stingrays Urobatis jamaicensis following intraperitoneal injection with a commercial Vibrio bacterin. Changes in plasma protein levels were analyzed immediately prior to vaccination (time 0) and at 24 and 72 h post-injection by isobaric tags for relative and absolute quantitation (iTRAQ 4-plex) using shotgun-based nano liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis and de novo peptide sequencing. Pooled 2D-LC-MS/MS and de novo sequencing data revealed differential expression of 156 distinct plasma proteins between time 0 and at least one post-vaccination time point. Using 1.5-fold change in expression as physiologically significant, 14/156 (9.0%) proteins were upregulated in at least one stingray through at least one experimental timepoint. Upregulated proteins included complement factors, Mx-protein, hemopexin, factor X and prothrombin. Seventy-six of 156 (48.7%) proteins were downregulated in the acute-phase response, including transferrin, apolipoprotein B, heparin cofactor 2, alpha2-macroglobulin, and various growth factors. Other differentially upregulated or downregulated proteins included intracellular, cell binding and structural proteins, proteins involved in physiologic processes, and unknown/hypothetical proteins. Selected bioactive factors are discussed for their putative roles in the elasmobranchs acute-phase response. These findings contribute to our understanding of disease processes in elasmobranchs, immunologic phylogeny in vertebrates, and begin the search for potential biomarkers of disease in these ecologically important fish.     

Specific haptoglobin expression in bronchoalveolar lavage during differentiation of circulating fibroblast progenitor cells in mild asthma

Haptoglobin is an acute-phase glycoprotein considered to be involved in tissue repair and is produced by fibroblasts and inflammatory cells. By using a gel-based proteomic approach, we show for the first time a possible role for haptoglobin in the differentiation of fibroblast progenitor cells, termed fibrocytes, in patients with mild asthma. Bronchoalveolar lavage fluid (BALF) was performed to sample circulating fibrocytes from patients with mild asthma and nonasthmatic control subjects. Fibrocytes from the airway lumen were characterized by triple staining of the markers CD34/CD45R0/alpha-smooth muscle actin, and subjected to confocal microscopy. The protein expression pattern was analyzed using two-dimensional electrophoresis (2-DE) and matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF). Elevated levels of haptoglobin expression in BALF was reported in a sub-group of patients with mild asthma (p < 0.05) when compared to the other subjects. In addition, this increase in haptoglobin was accompanied by differentiation of fibrocytes into fibroblast-like cells. When further analyzing the expression pattern of haptoglobin isoforms, a heterozygous expression was detected in the patients where fibrocyte differentiation could be observed. These data raise the possibility that an acute and specific inflammatory state facilitates the differentiation of fibroblast progenitor cells into activated fibroblasts. Furthermore, this study proposes a novel role for haptoglobin in airway remodeling in patients with asthma.     

Characterization of intact N- and O-linked glycopeptides using higher energy collisional dissociation

Simultaneous elucidation of the glycan structure and the glycosylation site are needed to reveal the biological function of protein glycosylation. In this study, we employed a recent type of fragmentation termed higher energy collisional dissociation (HCD) to examine fragmentation patterns of intact glycopeptides generated from a mixture of standard glycosylated proteins. The normalized collisional energy (NCE) value for HCD was varied from 30 to 60% to evaluate the optimal conditions for the fragmentation of peptide backbones and glycoconjugates. Our results indicated that HCD with lower NCE values preferentially fragmented the sugar chains attached to the peptides to generate a ladder of neutral loss of monosaccharides, thereby enabling the putative glycan structure characterization. In addition, detection of the oxonium ions enabled unambiguous differentiation of glycopeptides from non-glycopeptides. In contrast, HCD with higher NCE values preferentially fragmented the peptide backbone and, thus, provided information needed for confident peptide identification. We evaluated the HCD approach with alternating NCE parameters for confident characterization of intact N- and O-linked glycopeptides in a single liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis. In addition, we applied a novel data analysis pipeline, so-called GlycoFinder, to form a basis for automated data analysis. Overall, 38 unique intact glycopeptides corresponding to eight glycosylation sites (six N-linked and two O-linked sites) were confidently identified from a standard protein mixture. This approach provided concurrent characterization of both the peptide and the glycan, thereby enabling comprehensive structural characterization of glycoproteins in a single LC–MS/MS analysis.     

Pig MAP/ITIH4 and haptoglobin are interleukin-6-dependent acute-phase plasma proteins in porcine primary cultured hepatocytes.

The acute-phase expression of pig MAP (major acute-phase protein)/ITIH4 (inter-alpha-trypsin inhibitor heavy chain 4) and haptoglobin were analysed in primary cultures of isolated pig hepatocytes in response to recombinant human (rh) cytokines: tumor necrosis factor-alpha (TNF-alpha), interleukin-1 (IL-1), interleukin-6 (IL-6), as well as to bacterial lipopolysaccharide (LPS). Analysis of pig MAP/ITIH4 and haptoglobin mRNAs was carried out by RT-PCR amplification. Secreted proteins from the cytokine-treated hepatocytes were quantified by immunochemical techniques. Time-course and dose-response experiments show that pig MAP/ITIH4 and haptoglobin belong to the type II acute-phase proteins, as they are specifically induced by rhIL-6 and not by rhTNF-alpha or rhIL-1. Stimulation of cultured pig hepatocytes with rhIL-6 for 48 h at doses of 1000 U.mL-1 showed a fourfold to fivefold increase in pig MAP/ITIH4 concentration in the medium, while the concentration of haptoglobin only increased twofold. A similar increase in the concentration of pig MAP/ITIH4 was also observed in media of LPS-treated hepatocytes with the simultaneous generation of IL-6 by the Kupffer cells present in the cultures. Albumin secretion decreased after stimulation with doses of 100 or 1000 U.mL-1 rhTNF-alpha, rhIL-1 or rhIL-6. Therefore, it can be concluded that pig MAP/ITIH4 behaves as a major acute-phase protein produced by porcine hepatocytes under the effect of inflammatory cytokines.     

Proteomic analysis of human papillomavirus‐related oral squamous cell carcinoma: Identification of thioredoxin and epidermal‐fatty acid binding protein as upregulated protein markers in microdissected tumor tissue

Human papillomavirus (HPV) infection has been identified as an etiologic agent for a subset of oral squamous cell carcinoma (OSCC) with increasing incidence. HPV DNA‐positivity may confer better prognosis but the related oncogenic mechanisms are unknown. For the identification of HPV relevant proteins, we analyzed microdissected cells from HPV DNA‐positive (n = 17) and HPV DNA‐negative (n = 7) OSCC tissue samples. We identified 18 proteins from tumor tissues by peptide fingerprint mapping and SELDI MS that were separated using 2‐DE. Among a number of signals that were detected as significantly different in the protein profiling analysis, we identified thioredoxin (TRX) and epidermal‐fatty acid binding protein as upregulated in HPV related tumor tissue. This study, investigating for the first time proteomic changes in microdissected HPV infected tumor tissue, provides an indication on the oncogenic potential of viruses.     

Differential proteomic analysis of bovine conceptus fluid proteins in pregnancies generated by assisted reproductive technologies

Proteomic analysis of bovine conceptus fluid proteins during early pregnancy has the potential to expose protein species indicative of both the overall health of the fetal-maternal environment and fetal developmental status. In this study, we examined the differential abundance of bovine conceptus fluid proteins (5-50 kDa fraction) from naturally conceived, in vitro fertilisation (IVF) and somatic cell nuclear transfer (SCNT)-derived pregnancies at days 45 and 90 of gestation. In day 45 allantoic fluid (AllF) samples, an atypical cluster of low molecular weight ( approximately 14-16 kDa), low pI (between 3.0 and 4.5 pH units) protein species was increased in three of four IVF samples (30-100-fold increase in protein spot volumes compared to normal). These proteins were identified as paralogs of the bovine cathelicidin antimicrobial protein (CAMP) by MALDI-TOF MS peptide mass fingerprint and MALDI-TOF MS/MS peptide sequence analysis. Peptidoglycan recognition protein and serine (or cysteine) proteinase inhibitor clade B1, were also significantly increased in the corresponding IVF samples. In two of four SCNT AllF samples, a 2-10-fold increase in CAMP protein spot volumes were detected. No aberrant abundance levels of individual protein species were observed in amniotic fluid samples, or in day 90 IVF AllF samples. Identification of unique protein species present in the normal bovine AllF proteome at day 45 is also reported.     

Proteomic analysis of the tetraspanin web using LC-ESI-MS/MS and MALDI-FTICR-MS

Tetraspanins are integral membrane proteins involved in a variety of physiological and pathological processes. In cancer, clinical and experimental studies have reported a link between tetraspanin expression levels and metastasis. Tetraspanins play a role as organizers of a molecular network of interactions, the "tetraspanin web". Here, we have performed a proteomic characterization of the tetraspanin web using a model of human colon cancer consisting of two cell lines derived from primary tumor and metastasis from the same patient. The tetraspanin complexes were isolated after immunoaffinity purification and the proteins were identified by MS using LC-ESI-MS/MS and MALDI-FTICR. The high resolution and mass accuracy of FTICR MS allowed reliable identification using mass finger printing with only two peptides. Thus, it could be used to resolve the composition of complex peptide mixtures from membrane proteins. Different types of membrane proteins were identified, including adhesion molecules (integrins, Lu/B-CAM, GA733 proteins), receptors and signaling molecules (BAI2, PKC, G proteins), proteases (ADAM10, TADG15), and membrane fusion proteins (syntaxins) as well as poorly characterized proteins (CDCP1, HEM-1, CTL1, and CTL2). Some components were differentially detected in the tetraspanin web of the two cell lines. These differences may be relevant for tumor progression and metastasis.     

Proteomic analysis of bovine conceptus fluids during early pregnancy

A proteomic analysis of bovine amniotic and allantoic fluids collected around Day 45 of gestation was performed using gel-based and LC-based MS workflows. A depletion/enrichment protocol using ultrafiltration under denaturing and reducing conditions produced an enriched fraction containing protein species predominantly between 5 and 50 kDa molecular weight. The analyses of conceptus fluid proteins were performed using two strategies; first, 2-DE coupled with MALDI-TOF-MS/MS and LC-ESI-MS/MS analysis of individual protein spots and second, a global protein snapshot of the enriched 5-50 kDa protein fraction by LC-ESI-MS/MS and LC-MALDI-TOF-MS/MS. Allocation of bovine specific protein identities was achieved by searching the Interactive Bovine In Silico SNP (IBISS) and NCBInr protein sequence databases resulting in the confident PMF identification and MS/MS confirmation of >200 2-DE generated allantoic fluids protein spots (74 individual protein species identified) and the MS/MS peptide identification of 105 LC-ESI-MS/MS generated protein identities. In total, the identity of 139 individual protein species from allantoic fluids was confirmed with peptide sequence probability MOWSE scores at the p<0.05 level or better. The comparison of bovine Day 45 amniotic and allantoic fluids protein profiles revealed differences between these two conceptus fluids in early pregnancy.     

Separation and identification of soybean leaf proteins by two-dimensional gel electrophoresis and mass spectrometry

To establish a proteomic reference map for soybean leaves, we separated and identified leaf proteins using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry (MS). Tryptic digests of 260 spots were subjected to peptide mass fingerprinting (PMF) by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) MS. Fifty-three of these protein spots were identified by searching NCBInr and SwissProt databases using the Mascot search engine. Sixty-seven spots that were not identified by MALDI-TOF-MS analysis were analyzed with liquid chromatography tandem mass spectrometry (LC-MS/MS), and 66 of these spots were identified by searching against the NCBInr, SwissProt and expressed sequence tag (EST) databases. We have identified a total of 71 unique proteins. The majority of the identified leaf proteins are involved in energy metabolism. The results indicate that 2D-PAGE, combined with MALDI-TOF-MS and LC-MS/MS, is a sensitive and powerful technique for separation and identification of soybean leaf proteins. A summary of the identified proteins and their putative functions is discussed.     

ICPLQuant – A software for non‐isobaric isotopic labeling proteomics

The main goal of many proteomics experiments is an accurate and rapid quantification and identification of regulated proteins in complex biological samples. The bottleneck in quantitative proteomics remains the availability of efficient software to evaluate and quantify the tremendous amount of mass spectral data acquired during a proteomics project. A new software suite, ICPLQuant, has been developed to accurately quantify isotope‐coded protein label (ICPL)‐labeled peptides on the MS level during LC‐MALDI and peptide mass fingerprint experiments. The tool is able to generate a list of differentially regulated peptide precursors for subsequent MS/MS experiments, minimizing time‐consuming acquisition and interpretation of MS/MS data. ICPLQuant is based on two independent units. Unit 1 performs ICPL multiplex detection and quantification and proposes peptides to be identified by MS/MS. Unit 2 combines MASCOT MS/MS protein identification with the quantitative data and produces a protein/peptide list with all the relevant information accessible for further data mining. The accuracy of quantification, selection of peptides for MS/MS‐identification and the automated output of a protein list of regulated proteins are demonstrated by the comparative analysis of four different mixtures of three proteins (Ovalbumin, Horseradish Peroxidase and Rabbit Albumin) spiked into the complex protein background of the DGPF Proteome Marker.