Proteomic Features Research Articles

Effect of Coenzyme Q10 on the Proteomic Profile of the Cytosolic and Microsomal Fractions from Rat Hepatocytes upon Dietary Consumption of Various Lipid Components during Ontogeny

We studied proteomic features of subcellular fractions from rat hepatocytes and intensity of enzymatic and non-enzymatic free radical oxidation depending on the type of dietary fat during adaptation of animals to modified nutrition. Our results illustrate the formation of specific nutriproteomes in the microsomal and cytosolic fractions of rat hepatocytes (measurement of the macro-component and micro-component composition of diet).

Serum proteomic profiling for the early diagnosis of colorectal cancer

No ideal serum biomarker currently exists for the early diagnosis of colorectal cancer (CRC). Magnetic bead-based fractionation coupled with MALDI-TOF MS was used to screen serum samples from CRC patients, healthy controls, and other cancer patients. A diagnostic model with five proteomic features (m/z 1778.97, 1866.16, 1934.65, 2022.46, and 4588.53) was generated using Fisher algorithm with best performance. The Fisher-based model could discriminate CRC patients from the controls with 100% (46/46) sensitivity and 100% (35/35) specificity in the training set, 95.6% (43/45) sensitivity and 83.3% (35/42) specificity in the test set. We further validated the model with 94.4% (254/269) sensitivity and 75.5% (83/110) specificity in the external independent group. In other cancers group, the Fisher-based model classified 25 of 46 samples (54.3%) as positive and the other 21 as negative. With FT-ICR-MS, the proteomic features of m/z 1778.97, 1866.16, 1934.65, and 2022.46, of which intensities decreased significantly in CRC, were identified as fragments of complement C3f. Therefore, the Fisher-based model containing five proteomic features was able to effectively differentiate CRC patients from healthy controls and other cancers with a high sensitivity and specificity, and may be CRC-specific. Serum complement C3f, which was significantly decreased in CRC group, may be relevant to the incidence of CRC.

In silico investigation and structural characterization of virulent factor and a metallo peptidase present in Helicobacter pylori strain J99

VacA is a high-molecular weight multimeric pore-forming protein encoded by the chromosomal gene vacA of Helicobacter pylori J99 strian. It plays a significant role in the development of gastric cancer in human by inducing the formation of vacuoles. Genomics and proteomics features of an organism have provided a plethora of potential drug targets. The crystal structure of VacA is not available in any structural database; hence a 3D structure is very essential for structural studies and discovery of potential inhibitors against proteins. In this study 3D structure of VacA is modelled a by using Bhageerath: an energy based web enabled computer software suite. According to our study VacA steriochemical validation shows 91.7% residues are in allowed region of Ramachandran plot. Further validation was done by WHAT CHECK to provide evidence that the distribution of the main chain bond lengths and omega bond angles were within limits with Z-score 1.0 and error values are negligible. The modelled protein was submitted to Protein Model Database and can be downloaded with PMDID PM0077963. Further we found that metallo peptidase "M3" cleaves VacA and helps in import mechanism in mitochondria. Structure of metallo peptidase is also not available in any structural database so we modelled and validated its structure. With the help of docking studies we blocked the active site of metallo peptidase by ligand LA3 and 294 with binding energy -5.9 and -5.2 KJ/mol respectively, thus prevented import mechanism of VacA in mitochondria. The inhibitors identified from our study were LA3 and 294 ligands. The investigation concluded that these drugs could be used as the potential inhibitors against the damage of stomach and duodenum, which ultimately reduces the likelihood of ulcer as well as gastric cancer.

Effect of Coenzyme Q10 on Proteomic Profile of Blood Plasma and Cytosolic and Microsomal Fractions of Rat Hepatocytes during Ontogeny

The proteomic features of blood plasma and subcellular fractions of rat hepatocytes were studied during long-term dietary consumption of coenzyme Q10 as the endogenous mediator of antioxidant and energy homeostasis in the cell. Long-term coenzyme Q10 consumption was followed by the formation of specific nutriproteomes of the microsomal and cytosolic fractions of rat hepatocytes.

Proteomic Properties Reveal Phyloecological Clusters of Archaea

In this study, we propose a novel way to describe the variety of environmental adaptations of Archaea. We have clustered 57 Archaea by using a non-redundant set of proteomic features, and verified that the clusters correspond to environmental adaptations to the archaeal habitats. The first cluster consists dominantly of hyperthermophiles and hyperthermoacidophilic aerobes. The second cluster joins together halophilic and extremely halophilic Archaea, while the third cluster contains mesophilic (mostly methanogenic) Archaea together with thermoacidophiles. The non-redundant subset of proteomic features was found to consist of five features: the ratio of charged residues to uncharged, average protein size, normalized frequency of beta-sheet, normalized frequency of extended structure and number of hydrogen bond donors. We propose this clustering to be termed phyloecological clustering. This approach could give additional insights into relationships among archaeal species that may be hidden by sole phylogenetic analysis.

Proteomic features of potential tumor suppressor NESG1 in nasopharyngeal carcinoma

We previously defined the recently revised NESG1 gene as a potential tumor suppressor in nasopharyngeal carcinoma (NPC). Here, we further used proteomics technology to globally examine NESG1-controlled proteins in NPC cells. Twenty-six proteins were found to be deregulated by NESG1 using proteomics analysis while enolase 1 (alpha) (ENO1), heat shock protein 90 kDa beta (Grp94), member 1 (HSP90B1), and cathepsin D (CTSD) proteins were differentially expressed by Western blot. Interestingly, a-enolase (ENO1), an overexpressed gene in NPC, was confirmed as a NESG1-regulated protein in NPC cells. Overexpressed ENO1 not only restored cell proliferation and cell-cycle progression, but also antagonized the regulation of NESG1 to cell-cycle regulators p21 and CCNA1 expression as well as induced the expression of C-Myc, pRB, and E2F1 in NESG1-ovexpressed NPC cells. Real-time PCR and immunohistochemistry analysis showed that NESG1 expression is negatively correlated with ENO1 expression in NPC tissues. Our observations suggest that ENO1 downregulation plays an important role in NESG1-induced growth inhibition of NPC cancer cells.

Proteomic analysis reveals platelet factor 4 and beta-thromboglobulin as prognostic markers in severe acute respiratory syndrome.

Previously, we reported that proteomic fingerprints were present in sera of patients with severe acute respiratory syndrome (SARS), and could separate patients into subgroups with different prognoses. In the present study, we examined the prognostic values of the SARS‐associated proteomic features by biostatistical analysis, and deciphered the identities of those with prognostic values. Data of 20 SARS‐associated serum proteomic features and ten serological variables from 38 SARS adult patients before treatment were subjected to multivariate logistic regression. Proteomic features of m/z 6634, m/z 7769, m/z 8635, and m/z 8865 were identified as independent prognostic markers. After purification by cation‐exchange chromatography and gel electrophoresis, proteomic features of m/z 7769 and m/z 8865 were found to be platelet factor 4 (PF4) and beta‐thromboglobulin (beta‐TG) by tandem mass spectrometry, respectively. The associations of decreased serum PF4 and increased serum beta‐TG levels with poor prognosis were confirmed by Western blot. Previous studies suggest that PF4 and beta‐TG are involved in the pathogenesis of acute respiratory distress syndrome (ARDS) in a negative and positive way, respectively. Our results suggest that PF4 and beta‐TG may also play similar roles in the development of ARDS in SARS patients.

Amyloid‐like IgM deposition neuropathy: a distinct clinico‐pathologic and proteomic profiled disorder

Some patients with immunoglobulin paraproteinemic neuropathy have intra-nerve deposits that morphologically mimick amyloid, but do no stain with Congo red. Patients with amyloid-like deposits were identified. The nerve amyloid-like aggregates were studied by laser microdissection and dual mass spectrometry. Three male patients, all with IgM gammopathy, and neuropathy were identified. Follow-up, disease duration was 5, 19, and 7 years, respectively. All had progressive asymmetric sensory-onset distal axonal polyneuropathy with late motor involvement. Autonomic symptoms occurred in only one after 13 years of symptoms. None had clinical cardio-renal involvement. One had skin papules with dermal amyloid-like deposits. Endoneurial amyloid-like deposits had granulo-fibrillar ultrastructure. Mass spectrometry of laser-dissected deposits identified IgM pentameric macroglobulin (heavy, light, and joining chains) without amyloid-associated proteins including absent apolipoprotein E and serum amyloid P-component. Amyloid-like neuropathy has distinct clinical, pathologic, and proteomic features which expand the spectrum of IgM neuropathies. Patients have favorable survival, relative absence of autonomic features, and distinct proteomic profiles of the infiltrative protein in nerve.

Effect of Taurine on the Proteomic Profile of the Cytosolic and Microsomal Fractions of Rat Hepatocytes during Ontogeny

The proteomic features of the cytosolic and microsomal fractions of rat hepatocytes were studied during long-term dietary consumption of taurine (12 months) as a modulator of energy homeostasis. We identified proteomic markers of the effect of taurine on regulation of cell homeostasis. A protein with unknown biological function was revealed.

Predicting Antigenicity of Proteins in a Bacterial Proteome; a Protein Microarray and Naïve Bayes Classification Approach

Discovery of novel antigens associated with infectious diseases is fundamental to the development of serodiagnostic tests and protein subunit vaccines against existing and emerging pathogens. Efforts to predict antigenicity have relied on a few computational algorithms predicting signal peptide sequences (SignalP), transmembrane domains, or subcellular localization (pSort). An empirical protein microarray approach was developed to scan the entire proteome of any infectious microorganism and empirically determine immunoglobulin reactivity against all the antigens from a microorganism in infected individuals. The current database from this activity contains quantitative antibody reactivity data against 35,000 proteins derived from 25 infectious microorganisms and more than 30 million data points derived from 15,000 patient sera. Interrogation of these data sets has revealed ten proteomic features that are associated with antigenicity, allowing an in silico protein sequence and functional annotation based approach to triage the least likely antigenic proteins from those that are more likely to be antigenic. The first iteration of this approach applied to Brucella melitensis predicted 37% of the bacterial proteome containing 91% of the antigens empirically identified by probing proteome microarrays. In this study, we describe a naïve Bayes classification approach that can be used to assign a relative score to the likelihood that an antigen will be immunoreactive and serodiagnostic in a bacterial proteome. This algorithm predicted 20% of the B. melitensis proteome including 91% of the serodiagnostic antigens, a nearly twofold improvement in specificity of the predictor. These results give us confidence that further development of this approach will lead to further improvements in the sensitivity and specificity of this in silico predictive algorithm.

Potential proteomic biomarkers in assessing liver fibrosis using SELDI-TOF MS

The accurate assessment of the severity of liver fibrosis is of paramount importance in determining treatment strategies, response to treatment and prognosis in patients with chronic liver disease. The aim of this study was to investigate potential proteomic biomarkers for assessing stages of hepatic fibrosis. Serum samples of 83 patients with chronic liver disease (using METAVIR index, 17 F0, 30 F1, 6 F2, 9 F3, and 21 F4 patients) and 29 healthy controls were analyzed using surface-enhanced laser desorption/ionization time-of- flight mass spectrometry on IMAC30 ProteinChip arrays. Discriminatory peaks between groups were identified using Mann-Whitney U non-parametric test. Comparison of mild (F0, F1) and severe fibrosis (F2, F3, F4) was performed using tree classification (cross-validation) with the Biomarker Patterns Software, version 5.0 (Ciphergen Biosystems, US). No statistically significant discriminatory peak was evident between F0, F1 and F2 fibrosis. More than 30 peaks were found to be discriminatory between patients with cirrhosis (F4) and all other stages of liver fibrosis, including F2 and F3. Six surface-enhanced laser desorption/ionization proteomic features were found to be discriminative for mild (F0, F1) vs. advanced (F2, F3, F4) fibrosis (AUROC ≥0.8, p<0.05, Mann-Whitney test). The decision tree (m/z 4280, 10453 and 6376) yielded a sensitivity of 83.3% (30/36), a specificity of 85.1% (40/47), a positive predictive value of 81.1%, and a negative predictive value of 86.9%, with an AUROC of 0.94. The results of this study revealed discriminatory peaks between the protein profiles of patients with cirrhosis and other stages of liver fibrosis. Potential proteomic biomarkers can be notably determined for discriminating mild and advanced fibrosis using surface-enhanced laser desorption/ionization time-of- flight mass spectrometry.

Akciğer Kanseri ile Serum Protein Profilleri Arasındaki İlişkinin SELDI-TOF-MS (Surface Enhanced Laser Desabsorbtion Ionization Time of Flight Mass Spectrometry) Yöntemi ile Değerlendirilmesi

Objective: Although proteomic profiles detected by using SELDI-TOF-MS method distinguish lung cancer patients from healthy individuals, there are no studies concerning proteomic patterns of tumor subsets in lung cancer. The goal of this study was to establish proteomic patterns of tumor subsets in lung cancer patients with surface enhanced laser desabsorbtion ionization time of flight mass spectrometry (SELDI-TOF-MS) method. Material and Methods: A total of 169 patients diagnosed histopathologically including 142 non-small cell lung can - cer (NSCLC) and 27 small cell lung cancer (SCLC) patients were included in this study. In NSCLC group, there were 60 squamous cell carcinoma, 38 non-squamous cell carcinoma and 44 unclassified type NSCLC patients. Ve - nous blood samples were obtained from all cases. All of the serum samples were analyzed by SELDI-TOF-MS method for proteomics investigation. Results: Three peaks (9065 m/z, 9175 m/z, 9394 m/z) were found to be dis - criminatory in serum SELDI profiles between NSCLC and SCLC groups (p<0.05). All of these three peaks showed higher intensity in patients with SCLC. The analysis between non-squamous and squamous cancer groups of NSCLC revealed eight discriminatory proteomic features. Among these peaks, only two (5815 m/z, 5906 m/z) showed higher intensity in patients in the non-squamous group (p<0.05). Conclusion: Proteomic patterns could provide some valuable clues on the carcinogenetic mechanism of different types of lung cancer and may help us to discover some potential subtype-specific biomarkers of lung cancer by SELDI-TOF-MS method.

A pursuit of lineage-specific and niche-specific proteome features in the world of archaea

BackgroundArchaea evoke interest among researchers for two enigmatic characteristics –a combination of bacterial and eukaryotic components in their molecular architectures and an enormous diversity in their life-style and metabolic capabilities. Despite considerable research efforts, lineage- specific/niche-specific molecular features of the whole archaeal world are yet to be fully unveiled. The study offers the first large-scale in silico proteome analysis of all archaeal species of known genome sequences with a special emphasis on methanogenic and sulphur-metabolising archaea.ResultsOverall amino acid usage in archaea is dominated by GC-bias. But the environmental factors like oxygen requirement or thermal adaptation seem to play important roles in selection of residues with no GC-bias at the codon level. All methanogens, irrespective of their thermal/salt adaptation, show higher usage of Cys and have relatively acidic proteomes, while the proteomes of sulphur-metabolisers have higher aromaticity and more positive charges. Despite of exhibiting thermophilic life-style, korarchaeota possesses an acidic proteome. Among the distinct trends prevailing in COGs (Cluster of Orthologous Groups of proteins) distribution profiles, crenarchaeal organisms display higher intra-order variations in COGs repertoire, especially in the metabolic ones, as compared to euryarchaea. All methanogens are characterised by a presence of 22 exclusive COGs.ConclusionsDivergences in amino acid usage, aromaticity/charge profiles and COG repertoire among methanogens and sulphur-metabolisers, aerobic and anaerobic archaea or korarchaeota and nanoarchaeota, as elucidated in the present study, point towards the presence of distinct molecular strategies for niche specialization in the archaeal world.

Generation and envelope protein analysis of internalization defective Brucella abortus mutants in professional phagocytes, RAW 264.7

Brucella abortus is a facultative intracellular bacteria that replicates within a macrophage without producing any classical virulence factors. It can become internalized to cells by zipper-like and/or swimming internalization mechanisms. However, the bacterial proteins involved in internalization remain unclear. To define these bacterial proteins, random insertion mutants of B. abortus were generated by the Tn5 transposome complexes. In all, 132 mutants were screened, cellular internalization-defective mutants were selected, and these genomic and envelope proteomic features were identified. The transposon insertion sites were ccmC,ppk and BruAb2_0168 for the mutant C10, C29 and D7, respectively. Mutant C10 showed a deficiency in internalization without any changes in expression of the cell envelope proteins; however, mutant C29 showed a reduced expression of OMP25, and a mutant D7 also showed reduced expression of OMP25, OMP28 and Porin2b. These results suggest OMP25 is not an essential factor, but might be involved in host cellular internalization. We identified the ppk gene and BruAb2_0168 locus which are associated to expression of OMP25, OMP28 and Porin2b as well as pleiotropic effects of ccmC gene.

Clinical proteomics identified ATP-dependent RNA helicase DDX39 as a novel biomarker to predict poor prognosis of patients with gastrointestinal stromal tumor

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal malignancy of the gastrointestinal tract, comprising a wide spectrum from a curable disorder to highly malignant disease. GIST is characterized by tyrosine kinase mutations, and molecular targeting therapies against these abnormal enzymes require prognostic biomarkers. To identify candidate prognostic biomarkers, we examined proteomic features corresponding to metastasis after surgery. Using two-dimensional difference gel electrophoresis with a large format gel, we compared the primary tumor tissues of GIST patients free of metastasis for two years after surgery (eight cases) with those of patients who developed metastasis within one year after surgery (nine cases). We found the intensities of 38 protein spots to differ significantly between the two groups. Mass spectrometric protein identification revealed that these corresponded to 25 unique genes. Immunohistochemical validation demonstrated ATP-dependent RNA helicase DDX39 to be significantly associated with metastasis and poor clinical outcomes in a group of 72 GIST patients. In conclusion, we have established a novel prognostic utility of ATP-dependent RNA helicase DDX39 in GIST.ATP-dependent RNA helicase DDX39, a novel biomarker for GIST likely to be associated with metastatic disease, can identify patients likely to benefit from new therapeutic strategies such as tyrosine kinase inhibitors.

Systems Biology Approach Predicts Antibody Signature Associated with Brucella melitensis Infection in Humans

A complete understanding of the factors that determine selection of antigens recognized by the humoral immune response following infectious agent challenge is lacking. Here we illustrate a systems biology approach to identify the antibody signature associated with Brucella melitensis (Bm) infection in humans and predict proteomic features of serodiagnostic antigens. By taking advantage of a full proteome microarray expressing previously cloned 1406 and newly cloned 1640 Bm genes, we were able to identify 122 immunodominant antigens and 33 serodiagnostic antigens. The reactive antigens were then classified according to annotated functional features (COGs), computationally predicted features (e.g., subcellular localization, physical properties), and protein expression estimated by mass spectrometry (MS). Enrichment analyses indicated that membrane association and secretion were significant enriching features of the reactive antigens, as were proteins predicted to have a signal peptide, a single transmembrane domain, and outer membrane or periplasmic location. These features accounted for 67% of the serodiagnostic antigens. An overlay of the seroreactive antigen set with proteomic data sets generated by MS identified an additional 24%, suggesting that protein expression in bacteria is an additional determinant in the induction of Brucella-specific antibodies. This analysis indicates that one-third of the proteome contains enriching features that account for 91% of the antigens recognized, and after B. melitensis infection the immune system develops significant antibody titers against 10% of the proteins with these enriching features. This systems biology approach provides an empirical basis for understanding the breadth and specificity of the immune response to B. melitensis and a new framework for comparing the humoral responses against other microorganisms.

Unadapted and adapted to starvation Acholeplasma laidlawii cells induce different responses of Oryza sativa, as determined by proteome analysis

For the first time, we studied the phytopathogenicity toward Oryza sativa L. of unadapted and adapted to unfavorable environment (starvation) cells of Acholeplasma laidlawii PG8--ubiquitous mycoplasma found in the soil, waste waters, tissues of the highest eukaryotes and being the basic contaminant of cell cultures and a causative agent of phytomycoplasmoses. The features of morphology, ultrastructural organization and proteomes of unadapted and adapted cells of the mycoplasma and infected plants were presented. Using 2D-DIGE and MS, 43 proteins of O. sativa L. that were differentially expressed in the leaves of plants cultivated in media with A. laidlawii PG8 were identified. The qualitative and quantitative responses of the plant proteome toward adapted and unadapted mycoplasma cells differed. That may be explained by differences in the virulence of the corresponding bacterial cells. Using 2D-DIGE and MS, 82 proteins that were differentially expressed in adapted and unadapted mycoplasma cells were detected. In adapted cells of the mycoplasma, in comparison with unadapted ones, a significant increase in the expression of PNPase--a global regulator of virulence in phytopathogenic bacteria occurred; there was also decreased expression of 40 proteins including 14 involved in bacterial virulence and the expression of 31 proteins including 5 involved in virulence was not detected. We propose that differences in the phytopathogenicity of adapted and unadapted A. laidlawii PG8 cells may be related to features of their proteomes and membrane vesicles.

Visualizing Meta-Features in Proteomic Maps

BackgroundThe steps of a high-throughput proteomics experiment include the separation, differential expression and mass spectrometry-based identification of proteins. However, the last and more challenging step is inferring the biological role of the identified proteins through their association with interaction networks, biological pathways, analysis of the effect of post-translational modifications, and other protein-related information.ResultsIn this paper, we present an integrative visualization methodology that allows combining experimentally produced proteomic features with protein meta-features, typically coming from meta-analysis tools and databases, in synthetic Proteomic Feature Maps. Using three proteomics analysis scenarios, we show that the proposed visualization approach is effective in filtering, navigating and interacting with the proteomics data in order to address visually challenging biological questions. The novelty of our approach lies in the ease of integration of any user-defined proteomic features in easy-to-comprehend visual representations that resemble the familiar 2D-gel images, and can be adapted to the user's needs. The main capabilities of the developed VIP software, which implements the presented visualization methodology, are also highlighted and discussed.ConclusionsBy using this visualization and the associated VIP software, researchers can explore a complex heterogeneous proteomics dataset from different perspectives in order to address visually important biological queries and formulate new hypotheses for further investigation. VIP is freely available at http://pelopas.uop.gr/~egian/VIP/index.html.

AbstractsAstrobiology Graduate Conference (AbGradCon) 2011HOSTED BYMontana State UniversityBozeman, Montana • June 5–8, 2011

AbstractsAstrobiology Graduate Conference (AbGradCon) 2011HOSTED BYMontana State UniversityBozeman, Montana • June 5–8, 2011

Biomarker discovery for ovine paratuberculosis (Johne's disease) by proteomic serum profiling

Paratuberculosis (Johne's disease) is a chronic granulomatous enteritis affecting ruminants and other species. It is caused by Mycobacterium avium subsp. paratuberculosis (MAP). In this study, surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI TOF-MS) was used as a platform to identify candidate biomarkers from sheep serum. Multivariate biomarker models which aimed to differentiate sheep with paratuberculosis and vaccinated-exposed sheep from unexposed animals were proposed based on classification and regression tree (CART) and linear discriminant analysis (LDA) algorithms from two array types. The accuracy of classification of sheep into unexposed or exposed groups ranged from 75 to 100% among models. SELDI was used to monitor protein profile changes over time during an experimental infection trial by examining sera collected at 4-, 8- and 13-months post infection. Although three different SELDI instruments were used, nine consistent proteomic features were observed associated with exposure to MAP. Two of the putative serum biomarkers were purified from serum using chromatographic methods and were identified as transthyretin and alpha haemoglobin by tandem mass spectrometry. They belong to highly abundant, acute phase reactants in the serum proteome and have also been discovered as serum biomarkers in human inflammatory conditions and cancer. Their relationship to the pathogenesis of Johne's disease remains to be elucidated.