Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “differential proteomics analysis”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

Differential proteomic analysis of Aeromonas salmonicida outer membrane proteins in response to low iron and in vivo growth conditions.

Aeromonas salmonicida subsp. salmonicida is the etiological agent of furunculosis, a serious infectious disease of salmonids. Bacterial phenotypes are known to change in vivo compared to the in vitro state. Proteomic analysis of in vivo phenotypes is usually not possible due to insufficient biomass. Using an in vivo growth chamber model, the pathogenic fish bacterium A. salmonicida was cultured in pure culture in vivo in its host, the Atlantic salmon, to obtain sufficient biomass to allow proteomic analysis. Growth of A. salmonicida under in vitro iron-restricted conditions resulted in the expression of outer membrane proteins of 73, 76 and 85 kDa, which were not present when grown under in vitro iron-replete conditions. Mass spectrometry analysis identified the 73 kDa protein as a colicin receptor, the 76 kDa protein as an outer membrane heme receptor, and the 85 kDa protein as a ferric siderophore receptor. When cultured in vivo, A. salmonicida up-regulated the identical 73, 76 and 85 kDa proteins. The results of this study also suggest, at least with respect to the outer membrane proteins, that the in vitro iron-restricted growth model largely reproduces the results obtained from growth of A. salmonicida within the peritoneal cavity of salmon.

Aeromonas↗

Differential proteome analysis and mass spectrometric characterization of germ line development-related proteins of Caenorhabditis elegans.

Proteome maps and differences of protein patterns of the synchronized larval stage L4 of the temperature-sensitive Caenorhabditis elegans (C. elegans) glp-1 mutant (e2144ts) were investigated after cultivation at 15 degrees C (developing a normal phenotype) or 25 degrees C (developing a mutated phenotype) by two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry. From the 183 identified protein spots six proteins were found differently expressed. The Vit-6 vitellogenin (CE28594), the hypothetical 17.2 protein (CE25224), the hypothetical 17.4 protein (CE16999), and the heat shock protein 16 kDa (CE14249) were more abundant when growing worm cultures at 25 degrees C. By contrast, the nucleoside diphosphate kinase (CE09650) was found increased at 15 degrees C. Most notably, the eukariotic initiation factor 5A-1 (CE00503), highly abundant at 15 degrees C, was not present in cultures grown at 25 degrees C. Its absence at 25 degrees C can not be attributed to lack of the enzymatic machinery that is necessary for hypusinylation. Instead, a direct downstream effect of the lack of functionality of GLP-1 may cause the expression of this protein. The yolk proteins 115 kDa and 88 kDa were attributed by mass spectrometric protein structure analysis as C-terminal and N-terminal fragments of the Vit-6 vitellogin protein (CE28594), respectively. The cleavage site between both derivatives was located between R764 and A768. A conflict in the database sequences at amino acid positions 1622 and 1623 of vitellogenin-6 was solved by mass spectrometric sequence analysis. The combination of 2-DE with mass spectrometry enabled the identification of mutation-associated differences on somatic gonadal cell and germ line cell development-associated proteins.

Amino Acid Sequence↗

Differential proteomic analysis of proteins in wheat spikes induced by Fusarium graminearum.

Scab, caused by Fusarium graminearum, is a serious spike disease in wheat. To identify proteins in resistant wheat cultivar Wangshuibai induced by F. graminearum infection, proteins extracted from spikes 6, 12 and 24 h after inoculation were separated by 2-DE. Thirty protein spots showing 3-fold change in abundance when compared with treatment without inoculation were characterized by MALDI-TOF MS and matched to proteins by querying the mass spectra in protein databases or the Triticeae EST translation database. Based on their volume profiles, these proteins were classified into four categories. The first one fell off rapidly at the initial inoculation and then rose at 12 or 24 hai, the second one decreased considerably after inoculation and remained at low level, the third one rose at the initial inoculation and then declined at 12 or 24 hai, the forth one showed steady increase after inoculation and maintained at a high level. Many of the proteins identified in the first two categories are related to carbon metabolism and photosynthesis. While most of proteins identified in the last two categories are related to stress defense of plants, indicating that proteins associated with the defense reactions were activated or translated shortly after inoculation.

Electrophoresis, Gel, Two-Dimensional↗

Differential proteomic analysis of the anti-proliferative effect of glucocorticoid hormones in ST1 rat glioma cells.

Glucocorticoid hormones (GCs) exert a potent anti-proliferative activity on several cell types. The classic molecular mechanism of GCs involves modulation of the activity of the glucocorticoids receptor, a transcriptional regulator. However, the anti-proliferative effect of GCs may also involve modulation of processes such as translation, subcellular localization and post-translational modifications, which are not reflected at the mRNA level. To investigate these potential effects of GCs, we employed the proteomic approach (two-dimensional electrophoresis and mass spectrometry) and the ST1 cells, obtained from the C6 rat glioma cell line, as a model. GC treatment leads ST1 cells to a complete transformed-to-normal phenotypic reversion and loss of their tumorigenic potential. By comparing sets of 2D nuclear protein profiles of ST1 cells treated (or not) with hydrocortisone (Hy), 13 polypeptides displaying >or=two-fold difference in abundance upon Hy treatment were found. Five of these polypeptides were identified by peptide mass fingerprinting, including Annexin 2 (ANX2), hnRNP A3 and Ubiquitin. Evidence obtained by Western blot analysis indicates that ANX2 is present in the nucleus and has its subcellular localization modulated by GC-treatment of ST1 cells. Our findings indicate complementary mechanisms contributing to the regulation of gene expression associated with ST1 cells' response to GCs.

Animals↗

Differential proteomic analysis reveals increased cathelicidin expression in porcine bronchoalveolar lavage fluid after an Actinobacillus pleuropneumoniae infection.

Accurate definition of respiratory health in pigs is an important problem for swine producers and veterinarians. In an approach to identify potential biomarkers, two-dimensional gel electrophoresis and mass spectrometry on bronchoalveolar lavage fluid (BALF)-derived proteins from pigs experimentally infected with Actinobacillus pleuropneumoniae were performed at different time points post infection. Mock-infected pigs were used as a control. It was shown that the antimicrobial peptides, prophenin-2 and PR-39, and the calcium-binding protein calgranulin C were reproducibly upregulated in BALF of pigs chronically infected with A. pleuropneumoniae. Concentrations of PR-39 were significantly (p<0.05) increased in BALF (median of 4.8 nM) but not in serum (median of 2.5 nM) on day 21 after infection. A Receiver Operating Characteristics (ROC) plot showed that PR-39 in BALF is an accurate and easily accessible marker to detect clinically healthy pigs convalescent from an experimental A. pleuropneumoniae infection. These results imply that PR-39 might have a potential as a general biomarker to determine porcine respiratory health.

Actinobacillus Infections↗

Differential proteome analysis: two-dimensional nano-LC/MS of E. coli proteome grown on different carbon sources.

Different sugars provided to bacteria as single sources of carbon and energy require the induction of different metabolic enzymes, transporters, and uptake systems in order to support growth and cell survival. Using a nano-high-performance liquid chromatography/mass spectrometry (nano-HPLC/MS) system we constructed comprehensive peptide maps for Escherichia coli grown with either lactose or glucose in minimal medium. Digested bacterial samples were separated in a two-dimensional manner by combining strong cation exchange (SCX) and reversed-phased (RP) chromatography. Peptides were eluted online to an iontrap MS instrument and further analyzed by tandem MS fragmentation. Bacterial proteins originating from the differing samples were analyzed by searching the Swiss Prot Database. Data are presented that show the ability to detect several hundred different proteins significantly expressed under both conditions. Several enzymes and binding proteins related to the lactose metabolism were only identified in the sample grown with this carbon source.

Carbon↗

Differential proteomic analysis in the study of prokaryotes stress resistance.

Proteomic technologies are powerful tools to study the physiological response of bacteria to various environmental stress conditions. Complex protein toolkits coordinated by regulatory networks have evolved to accommodate bacterial survival under several stressing conditions, such as varying temperature or pH, and changes in nutrient availability. This manuscript provides an overview of the major achievements obtained by 2D gel based and non-gel based proteomic approaches for the study of adaptive response in bacteria. As an example, a study carried out on Streptococcus thermophilus response to various stresses is here reported. In this investigation, we used combined proteomic strategies to define proteomic maps useful to highlight protein profile variations following environmental challenges.

Adaptation, Physiological↗

New Rhizobium leguminosarum flavonoid-induced proteins revealed by proteome analysis of differentially displayed proteins.

Proteome analysis was used to establish the first two-dimensional protein map of Rhizobium. R. leguminosarum bv. trifolii strain ANU843 was grown in defined medium in the presence and absence of the flavonoid 7,4'-dihydroxyflavone. Over 1,700 constitutive proteins were resolved, representing about 30% of the estimated genomic output. Proteome analysis of flavonoid-treated cells was done to reveal differentially displayed proteins. The results showed that while the global expression pattern of proteins was largely unaltered by the treatment, four inducible proteins were observed. The four inducible proteins and 20 constitutively expressed proteins were subjected to sequence analysis to provide internal standards for the construction of a two-dimensional Rhizobium protein data base. The identity of 12 proteins, including NodE and NodB, was established. NodE was present throughout the growth of the cells but was diminished in amount in stationary phase cells whereas NodB was not detected in the later stages of growth. Two of the induced proteins sequenced did not match any known nodulation gene product, with one of these being present in mid-late log and stationary phase cells and possessing four consecutive His residues at the N-terminal sequencing was successful with 100 to 200 fmol of protein. Proteome analysis provides a sensitive new tool to examine plant-microbe interactions.

Acyltransferases↗

A Comprehensive Analysis of Differential Protein Expression in the Plasma of Rheumatoid Arthritis Patients Utilizing Data-Independent Acquisition (DIA) Proteomics Technology.

BACKGROUND: Rheumatoid Arthritis (RA) is a Prevalent Autoimmune Disorder Affecting Millions of People Worldwide. A Thorough Understanding of Its Clinical and Pathological Features Is Essential to Improve Patient Outcomes. METHODS: This Study Combined Data-Independent Acquisition Proteomics and Enzyme-Linked Immunosorbent Assay (ELISA) to Identify and Validate Potential Plasma Protein Biomarkers for the Early Diagnosis of RA. RESULTS: Differential Proteomic Analysis Identified Differentially Expressed Proteins Between Patients With RA and Healthy Controls and Characterized Their Functions. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes Enrichment Analyses Were Performed to Explore Protein Functions and Associated Biological Pathways. The STRING Database and the Metascape Platform Were Used to Conduct an in-Depth Analysis of the Protein-Protein Interaction Network, Highlighting the Functional Attributes and Interconnections of Upregulated Proteins and Identifying Key Protein Complexes Involved in RA. ELISA Analysis of Plasma Samples Revealed Significantly Elevated SERPINA3 Levels in Patients With RA, Which Were Positively Correlated With Disease Activity Indicators-Including Erythrocyte Sedimentation Rate, C-Reactive Protein, and Disease Activity Score 28-But Were Not Correlated With Rheumatoid Factor or Its Subtypes. CONCLUSIONS: This Study Provides New Insights and Identifies Potential Biomarkers for the Early Diagnosis of RA.

Humans↗

Differential serum proteomic analysis in a model of metabolic disease.

Protein profiling would aid in better understanding the pathophysiology of metabolic disease. Here, we report on differential proteomic analysis using an animal model of diabetes mellitus and associated metabolic disorders (Otsuka Long-Evans Tokushima Fatty rat). Serum was analyzed by a new two-dimensional liquid chromatography system which separated proteins by chromatofocusing and subsequent reversed-phase chromatography. This is the first application of this approach to differential serum proteomics. Differentially expressed proteins, identified with MALDI-TOF mass spectrometry, included apolipoproteins and alpha2-HS-glycoprotein. These findings add to our understanding of the underlying pathophysiology. This new proteomic analysis is a promising tool to elucidate disease mechanisms.

Animals↗

Dietary effects of copper and iron deficiency on rat intestine: a differential display proteome analysis.

Copper and iron are cofactors of many metallo-proteins that accomplish vital functions, such as oxygen and electron transport. Specific metabolic pathways have been selected through evolution, although still not fully elucidated, to confine the dangerous reactivity of their free ionic forms. Inadequate supply of both metals can severely affect basic physiological functions. A differential analysis of the rat intestinal proteome evidenced the following dietary copper- and iron-deficiencies, i.e., significant changes in the levels of proteins belonging to different functional classes (glucose and fatty acid metabolism, molecular chaperones, cytoskeleton plasticity, vitamin transporters). The presented results bring new perspectives to understand the role of copper and iron in the metabolic pathways and provide novel diagnostic tools to characterize the effects of subclinical deficiencies of both metals in unbalanced nutritional disorders.

Animals↗

Proteomic analysis of proteins in PC12 cells before and after treatment with nerve growth factor: increased levels of a 43-kDa chromogranin B-derived fragment during neuronal differentiation.

Proteomic analysis is an important approach to characterizing the proteome and studying protein function in the post-genomic era. It is also a powerful screening method for detecting unexpected alterations in protein expression that may be missed by conventional biochemical techniques. The aim of this study was to perform a preliminary proteomic analysis of PC12 cells in order to investigate the effect of nerve growth factor (NGF) on protein expression in PC12 cells during neurite outgrowth. PC12 cell proteins were separated by two-dimensional electrophoresis (2DE) and visualized by silver staining, then certain proteins were identified by N-terminal amino acid microsequencing and a homology search of a protein sequence database. Over 400 proteins were detected, 10% of which showed a significant (greater than 30%) increase or decrease in expression during NGF-induced neuronal differentiation. Seven proteins in the 2DE map were identified; the levels of five of these were unaffected by NGF treatment, whereas the levels of the other two, beta-tubulin and a novel 43-kDa chromogranin B-derived fragment, were significantly increased by more than 30 and 200%, respectively. Our results suggest that chromogranin B processing is enhanced in PC12 cells during NGF-induced neuronal differentiation. In addition, since this increase in the levels of the chromogranin B-derived fragment was specifically blocked by PD98059, we suggest that the increased processing can be ascribed to activation of the MAP kinase pathway, and that the 43-kDa chromogranin B-derived fragment can serve as a new marker of neuronal differentiation for proteomic studies.

Animals↗

Identification of novel candidates for replicative senescence by functional proteomics.

To identify the underlying mechanisms that limit the mitotic potential of normal somatic cells, we have undertaken a high resolution differential proteomic analysis aimed at identifying proteins that were differentially expressed upon replicative senescence. Since replicative senescence in heterogeneous primary fibroblast cultures is asynchronous, we analysed a group of conditionally immortalized rat embryo fibroblast cell lines that have previously been shown to undergo synchronous senescence upon inactivation of SV40 tsA58 T antigen. This identified 43 spots that were differentially expressed in these cell lines. Comparison of the identity of these features with those identified in a complimentary independent differential proteomic analysis of replicative senescence, directly in primary rat embryo fibroblasts upon serial passaging, identified nine features that were in common between the two studies even though they had been conducted entirely separately. None of these proteins have previously been recognized to be involved with replicative senescence. Thus, they represent novel starting points for elucidating the underlying mechanism that regulates the finite mitotic life span of somatic cells and how it can be overcome in cancer cells.

Animals↗

A multidimensional differential proteomic platform using dual-phase ion-exchange chromatography-polyacrylamide gel electrophoresis/reversed-phase liquid chromatography tandem mass spectrometry.

Differential proteomic analysis has arisen as a large-scale means to discern proteome-wide changes upon treatment, injury, or disease. Tandem protein separation methods are required for large-scale differential proteomic analysis. Here, a novel multidimensional platform for resolving and differentially analyzing complex biological samples is presented. The platform, collectively termed CAX-PAGE/RPLC-MSMS, combines biphasic ion-exchange chromatography with polyacrylamide gel electrophoresis for protein separation, quantification, and differential band targeting, followed by capillary reversed-phase liquid chromatography and data-dependent tandem mass spectrometry for quantitative and qualitative peptide analysis. CAX-PAGE provides high protein resolving power with a theoretical peak capacity of 3570, extendable to 7600, a wide protein mass range verified from 16 to 273 kDa, and reproducible differential sample comparison without the added expense of fluorescent dyes and imaging equipment. Demonstrated using a neuroproteomic model, CAX-PAGE revealed an increased number of differential proteins, 137, compared with 82 found by 2D difference gel electrophoresis. When combined with RPLC-MSMS for protein identification, an additional quantification step is performed for internal validation, confirming a 2-fold or greater change in 89% of identified differential targets.

Animals↗

Quantifying reproducibility for differential proteomics: noise analysis for protein liquid chromatography-mass spectrometry of human serum.

SUMMARY: Using replicated human serum samples, we applied an error model for proteomic differential expression profiling for a high-resolution liquid chromatography-mass spectrometry (LC-MS) platform. The detailed noise analysis presented here uses an experimental design that separates variance caused by sample preparation from variance due to analytical equipment. An analytic approach based on a two-component error model was applied, and in combination with an existing data driven technique that utilizes local sample averaging, we characterized and quantified the noise variance as a function of mean peak intensity. The results indicate that for processed LC-MS data a constant coefficient of variation is dominant for high intensities, whereas a model for low intensities explains Poisson-like variations. This result leads to a quadratic variance model which is used for the estimation of sample preparation noise present in LC-MS data.

Algorithms↗

Differential analysis of two-dimension gel electrophoresis profiles from the normal-metaplasia-dysplasia-carcinoma tissue of human bronchial epithelium.

Processes involved in malignant transformation of the lung from preneoplasia are poorly understood. To better understand this process, two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) profiles of proteins from the normal, metaplasia, dysplasia and carcinoma tissues of human bronchial epithelia were examined by differential proteomic analysis. The selected differential protein-spots were identified by peptide mass fingerprint based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and database searching. The average spots for normal epithelium, metaplasia, dysplasia and invasive carcinoma were 1189.50 +/- 39.89, 1227.00 +/- 37.90, 1273.00 +/- 43.31 and 1326.00 +/- 66.63, respectively. Well-resolved, reproducible 2-D PAGE patterns of the normal-metaplasia-dysplasia-carcinoma tissues of bronchial epithelia were obtained. After matching, the number of spots of differential proteins between normal tissue and metaplasia, metaplasia and dysplasia, and dysplasia and invasive cancer tissues were 31.50 +/- 7.67, 41.00 +/- 9.07 and 56.00 +/- 8.96, respectively. In total, 35 differential proteins, expressed only at the later stage of a two-stage comparison, were identified, some of which are known to be involved in regulating the processes of proliferation, differentiation and signal transduction. Current data in this study, for the first time, provide the basis for identification of potential tumor markers of human lung squamous carcinoma and their involvement in the progression of malignant transformation of bronchial epithelium.

Bronchi↗

Proteomic analysis of differential protein expression in early process of pancreatic regeneration in pancreatectomized rats.

AIM: A broad-range proteomic approach was applied to investigate the complexity of the mechanisms involved in pancreatic regeneration for identification of new targets of diabetes treatment and potential markers of pancreatic stem cells. METHODS: A regeneration pancreatic model was induced by 90% partial pancreatectomy (Px) in rats. Changes in the protein expression in regenerating rat pancreas on the third day after Px, as compared with rats that received sham surgery, were analyzed by using 2-D gel electrophoresis (2-DE), mass spectrometry (MS), and mass fingerprinting. RESULTS: 2-DE revealed 91 spots with at least 1.5-fold increases in expression at 3 d after pancreatectomy and 53 differentially expressed proteins that were identified by peptide mass fingerprinting (PMF). These included cell growth-related, lipid and energy metabolism-related, protein and amino acid metabolism-related proteins, and signal transduction proteins. Vimentin, CK8, L-plastin, hnRNP A2/B1, and AGAT are associated with embryogenesis and cell differentiation, and may be new potential pancreatic stem cells markers. CONCLUSION: The proteome profiling technique provided a broad-based and effective approach for the rapid assimilation and identification of adaptive protein changes during pancreas regeneration induced by pancreatectomy. Our data clarify the global proteome during the pancreatic proliferation and differentiation processes, which is important for better understanding of pancreatic regeneration and for discovering of protein biomarkers for pancreatic stem cells.

Amidinotransferases↗

Comparative proteome analysis of differentially expressed proteins induced by K+ deficiency in Arabidopsis thaliana.

Mineral nutrient deficiencies constitute major limitations for plant growth on agricultural soils around the world. To identify genes that possibly play roles in plant K(+) nutrition, we employed the comparative proteome analysis for proteins isolated from Arabidopsis seedlings treated with K(+) deficiency for 3 h and 7 d. We identified genes including those encoding putative transcription factors, protein kinases, and phosphatases, proteins involved in phytohormone biosynthesis or signaling, proteins involved in carbon and energy metabolism, and other proteins possibly involved in signal transduction pathway such as 14-3-3 proteins and small G-protein. Our results suggest that those proteins may play roles in signal transduction pathways linking changes in extracellular K(+) status to alterations in gene expression facilitating K(+) homeostasis. These results yield a comprehensive picture of the post-transcriptional response for deprivation of K(+) and serve as a basic platform for further characterization of gene function and regulation in plant mineral nutrition.

Arabidopsis↗