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[Establishment of 2-dimensional gel electrophoresis map and analysis of proteomics from human nasal polyps].

OBJECTIVE: To establish 2-dimensional polyacrylamide gel electrophoresis (2-DE) map from human nasal polyps and normal nasal mucosa, and to identify differential expression proteins of 2-DE map. METHODS: Samples of nasal polyps and nasal mucosa (each sample group containing 7 cases) were obtained. The total proteins were extracted and separated by immobilized pH gradient (IPG)-based 2-DE. The silver-stained 2-DE was scanned with digital Imagescanner and analyzed with ImageMaster 2-DE Elite 4.01 software. To obtain peptide mass fingerprint (PMF) of differential protein spots, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) was used. The PMF was searched in Swiss-Prot and TreMBL database by Pept-Ident software, to identify differential expression proteins. RESULTS: The well-resolved, reproducible 2-DE maps of nasal polyps and nasal mucosa were established. For the polyps tissues, the average proteins spot of three 2-DE maps was 825+/-78; and 682+/-96 spot was matched with the average matching rate of 82.7%. The average deviations of matched spot position were (1.13+/-0.16) mm in IEF direction and (1.45+/-0.21) mm in SDS-PAGE direction, respectively. For the nasal mucosa tissues, the average proteins spot of three 2-DE maps was 936+/-62; and 821+/-78 spots were matched with the average matching rate of 87.7%. After comparing the 2-DE maps of nasal polyps and nasal mucosa tissues, the protein spots were 1,458 and 1,617 respectively; and 1,026 protein spots were matched. Forty differential expression protein spots were incised from silver staining gel randomly and digested in the gel by TPCK-Trypsin. Thirty-four PMFs were obtained by MALDI-TOF-MS and 24 differential proteins were identified. CONCLUSION: The well-resolved, reproducible 2-DE maps of human nasal polyps and nasal mucosa have been successfully established. Certain differential proteins related to the pathogenesis of human nasal polyps are identified.

Adult↗

Setting up standards and a reference map for the alkaline proteome of the Gram-positive bacterium Lactococcus lactis.

Despite the fact that almost 39% of the theoretical expressed proteins of Lactococcus lactis have a predicted isoelectric point above 7, these proteins have not been studied in previous proteome analyses. In the present study, we set up a reference map of alkaline lactococcal proteins by using immobilized pH gradients (IPG) spanning pH 6 to 12 and 9 to 12, and protein identification by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). Different electrophoresis systems for isoelectric focusing were evaluated to optimize the first dimension. Best results were obtained by sample application using cup-loading at the anodic side and increasing the final voltage up to 8000 V for IPGs, using N,N-dimethylacrylamide as monomer. After two-dimensional gel electrophoresis of extracts obtained from exponentially growing cells, about 200 protein spots were selected for identification by peptide mass fingerprinting. With MALDI-TOF MS, 153 proteins were identified that were the products of 85 different genes. Their predicted isoelectric points range from as high as 11.31 to as low as 6.34. Ribosomal proteins, hypothetical proteins and proteins with unknown function represent the largest groups of identified proteins. For further classification, the codon adaptation index (CAI) and grand average of hydropathicity (GRAVY) for each lactococcal protein were calculated. The protein with the lowest CAI identified in this study is the manganese ABC transporter ATP-binding protein. Less than 10% of the alkaline lactococcal proteins have a smaller CAI. The highest GRAVY for an identified protein is 0.26. The complete in silico data of Lactococcus lactis as well as clickable reference maps are available at www.wzw.tum.de/proteomik/lactis.

Bacterial Proteins↗

Two-dimensional map of the proteome of Haemophilus influenzae.

We have constructed a two-dimensional database of the proteome of Haemophilus influenzae, a bacterium of medical interest of which the complete genome, comprising about 1742 open reading frames, has been sequenced. The soluble protein fraction of the microorganism was analyzed by two-dimensional electrophoresis, using immobilized pH gradient strips of various pH regions, gels with different acrylamide concentrations and buffers with different trailing ions. In order to visualize low-copy-number gene products, we employed a series of protein extraction and sample application approaches and several chromatographic steps, including heparin chromatography, chromatofocusing and hydrophobic interaction chromatography. We have also analyzed the cell envelope-bound protein fraction using either immobilized pH gradient strips or a two-detergent system with a cationic detergent in the first and an anionic detergent in the second-dimensional separation. Different proteins (502) were identified by matrix-assisted laser desorption/ionization mass spectrometry and amino acid composition analysis. This is at present one of the largest two-dimensional proteome databases.

Databases, Factual↗

Nanocapillary liquid chromatography interfaced to tandem matrix-assisted laser desorption/ionization and electrospray ionization-mass spectrometry: mapping the nuclear proteome of human fibroblasts.

Miniaturized liquid chromatography nanoseparation in combination with minigel fractionation of human primary cell nuclei is presented. We obtained high-sensitivity and high-throughput identification of expressed proteins by subcellular fractionation and nanocapillary liquid chromatography interfaced to both electrospray ionization (ESI)- and matrix-assisted laser desorption/ionisation (MALDI) tandem mass spectrometry. The reversed-phase nanocapillary eluents were applied directly onto the MALDI target plate as discrete crystal spots using in-line matrix infusion. When working with primary cells, only a limited amount of sample is available. To maximize the number of identified proteins from a restricted amount of sample, miniaturized sample preparation protocols and nanoflow separation is a necessity, especially when working with low-abundant proteins. From the same isolated nuclear sample, complementary separation of intact proteins by two-dimensional (2-D) gel electrophoresis was made. In total 594 gene products from the nuclear preparations were identified out of which 261 were unique. Several proteins involved in transcriptional events were identified such as TATA-binding protein, EBNA-co-activator, and interleukin enhancer binding proteins, indicating that sufficient proteomic depth is obtained to study transcriptional controlling events. Our results suggest that by sample prefractionation and downscaled nanoflow separation along with a combined mass spectrometry strategy, it is possible to identify a large number of nuclear proteins from human primary cells. These findings are of particular importance due to the disease link of these targets cells.

Cell Nucleus↗

Mapping the membrane proteome of Corynebacterium glutamicum.

In order to avoid the specific problems with intrinsic membrane proteins in proteome analysis, a new procedure was developed which is superior to the classical two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) method in terms of intrinsic membrane proteins. For analysis of the membrane proteome from Corynebacterium glutamicum, we replaced the first separation dimension, i.e., the isoelectric focusing step, by anion-exchange chromatography, followed by sodium dodecyl sulfate (SDS)-PAGE in the second separation dimension. Enrichment of the membrane intrinsic subproteome was achieved by washing with 2.5 M NaBr which removed more than 35% of the membrane-associated soluble proteins. For the extraction and solubilization of membrane proteins, the detergent amidosulfobetaine 14 (ASB-14) was most efficient in a detailed screening procedure and proved also suitable for chromatography. 356 gel bands were spotted, and out of 170 different identified proteins, 50 were membrane-integral. Membrane proteins with one up to 13 transmembrane helices were found. Careful analysis revealed that this new procedure covers proteins from a wide pI range (3.7-10.6) and a wide mass range of 10-120 kDa. About 50% of the identified membrane proteins belong to various functional categories like energy metabolism, transport, signal transduction, protein translocation, and proteolysis while for the others a function is not yet known, indicating the potential of the developed method for elucidation of membrane proteomes in general.

Bacterial Proteins↗

Mapping the platelet proteome: a report of the ISTH Platelet Physiology Subcommittee.

Proteomic technology has the potential to transform the way we analyze platelet biology, through the determination of platelet protein composition and its modification upon stimulation and with disease. We are a considerable way from achieving these goals, however, because of significant limitations in current methodology. It is therefore important to consider the extent to which these aims can be met and the way that proteomic data should be presented and used. These issues are discussed in the present paper by the Platelet Physiology Subcommittee of the ISTH Scientific Standardisation Committee (SSC). It is recommended that proteomic information be combined with data from other experimental approaches to establish a database on protein expression and function in platelets.

Blood Platelets↗

Mapping the plasma proteomic architecture of systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a heterogeneous systemic autoimmune disease, yet the molecular basis underlying this variability remains incompletely understood. We profiled the plasma proteome in 260 SLE patients and 86 healthy volunteers (HVs) using the SomaScan v4.1 platform, quantifying 7,288 analytes corresponding to 6,595 unique proteins. We identified 215 proteins that were robustly differentially abundant between SLE patients and HVs in both discovery (n = 207 SLE, n = 45 HVs) and validation sets (n = 53 SLE, n = 41 HVs). Within-cases analyses identified 421 proteins associated with disease activity. Network-based clustering delineated correlated protein modules, including an interferon-associated (IFN-associated) module and a kidney-associated module. Autoantibody-stratified analyses further uncovered distinct proteomic endotypes; positivity for antibodies targeting RNA-binding proteins (anti-Sm, anti-Ro-60, anti-RNP68, anti-RNP-A) was associated with increased IFN-stimulated protein levels (e.g., MX1, ISG15, and CXCL10), independent of disease activity. Anti-Sm, anti-RNP-A, and anti-Ro52 antibodies were associated with reduced plasma levels of their respective autoantigens. Anti-dsDNA antibodies were associated with elevated levels of CD40 ligand (CD40LG) and the neutrophil protease, proteinase-3. Moreover, we identified an association between CD40LG and disease activity specific to the anti-dsDNA-positive subgroup. Together, these data define plasma protein signatures of SLE and disease activity, highlight autoantibody-specific molecular phenotypes, and provide a basis for precision medicine.

Humans↗

The human heart proteome: Two-dimensional maps using narrow-range immobilised pH gradients.

The analysis of complex proteomes is undertaken using a variety of techniques and technologies such as 2-DE, surface-enhanced laser desorption ionisation, and various types of MS. In order to overcome the complexities of protein expression in discrete proteomes, sample fractionation has become an important aspect of proteomic experiments. The use of narrow-range IPGs (nrIPGs) is of special importance using the 2-DE proteomics workflow, since an enhanced visualisation of a given proteome is achieved through an improved physical separation and resolution of proteins. The work described in this paper presents a series of protein maps of the human heart left ventricle proteome that have been generated using nrIPGs for the first, IEF, dimension of 2-DE. A total of 374 gel spots were excised from seven different pH gradients, covering the range pH 3-10, giving rise to a total of 388 identifications from 110 unique proteins. Using Gene Ontologies (GOs), the identified proteins were found to be associated with 97 types of GO Process, 144 types of GO Function, and 54 types of GO Component. It is hoped that the maps presented in this paper will be of use to other researchers for reference purposes.

Electrophoresis, Gel, Two-Dimensional↗

Proteomics reveals protein profile changes in doxorubicin--treated MCF-7 human breast cancer cells.

MCF-7 cells are extensively used as a cell model to investigate human breast tumors and the cellular mechanism of antitumor drugs such as doxorubicin (DOX), an anthracycline antitumor drug widely used in clinical chemotherapy. To understand the effects of DOX on the protein expression, we perform a comprehensive proteomics to survey global changes in proteins after DOX treatment in MCF-7 cells. Exposure of MCF-7 cells to 0.1 microM DOX for 2 days induced a differentiation-like phenotype with prominent perinuclear autocatalytic vacuoles, abundant filamentous material, and irregular microvilli at the cell surface. In this study, we also present a proteome reference map of MCF-7 cells with 21 identified protein spots via analysis of N-terminal sequencing, mass spectrometry, immunoblot and/or computer matching with protein database. Based on the proteome map, we found that DOX causes a markedly decrease in the levels of three isoforms of heat shock protein 27 (HSP27) whereas the levels of other stress associated proteins including HSP60, calreticulin, and protein disulfide isomerase were not significantly altered in DOX-treated MCF-7 cells. Taken together, we suggest that that action of DOX on breast tumor cells may be partly related to dysregulation of HSP27 expression. Modulation of HSP27 levels may be a clinically useful potential target for design of antitumor drugs and controlling breast tumor growth.

Antineoplastic Agents↗

Industrial process proteomics: alfalfa protein patterns during wet fractionation processing.

A proteome reference map of major soluble proteins from Medicago sativa (alfalfa) leaves and stems has been established for the first time. Among 195 spots analyzed by mass spectrometry and N-terminal Edman sequencing, 117 spots were unambiguously identified, representing 87 different proteins. Of these 87 proteins, 13 proteins were directly identified from the partial genome of Medicago sativa, 30 from expressed sequenced tags (ESTs) of the model legume Medicago truncatula and 44 from closely relative species by a cross-species protein identification method. The proteome map of Medicago sativa was then set as a reference to study the major high protein content products that are generated during the wet fractionation process of alfalfa green biomass. Using two-dimensional electrophoresis, we studied the variation of the protein patterns at different steps of the industrial-scale process. We clearly show that the process induces significant changes including chemical modifications, proteolytic events, and heat-shock protein responses. Strikingly, a certain level of cellular regulation is conserved during biomass processing, as exemplified by the induction of some heat shock proteins. Finally, all the results obtained in this proteomic study may help to identify novel products and to improve process designs in alfalfa biomass plants.

Chemical Fractionation↗

Mapping the Arabidopsis organelle proteome.

A challenging task in the study of the secretory pathway is the identification and localization of new proteins to increase our understanding of the functions of different organelles. Previous proteomic studies of the endomembrane system have been hindered by contaminating proteins, making it impossible to assign proteins to organelles. Here we have used the localization of organelle proteins by the isotope tagging technique in conjunction with isotope tags for relative and absolute quantitation and 2D liquid chromatography for the simultaneous assignment of proteins to multiple subcellular compartments. With this approach, the density gradient distributions of 689 proteins from Arabidopsis thaliana were determined, enabling confident and simultaneous localization of 527 proteins to the endoplasmic reticulum, Golgi apparatus, vacuolar membrane, plasma membrane, or mitochondria and plastids. This parallel analysis of endomembrane components has enabled protein steady-state distributions to be determined. Consequently, genuine organelle residents have been distinguished from contaminating proteins and proteins in transit through the secretory pathway.

Arabidopsis↗

SPR-MS in functional proteomics.

The mapping of protein networks and the establishment of the functional relationships between expressed proteins and their effects on cellular processes represents a great challenge for functional or interaction proteomics. The combination of surface plasmon resonance (SPR)-based technology with mass spectrometry (MS) has created a unique analytical tool for functional proteomics investigations. Proteins are affinity purified, quantified and characterised in terms of their interactions, while the mass spectrometer identifies and structurally characterises the biomolecules. Recent developments have led to a closer integration of these key technologies, providing a combined approach which enables identification of proteins selected on the basis of their functional binding criteria. In addition to a historical overview of this field, some recent detailed examples of combined SPR-MS approaches will be reviewed in a number of key application areas, including ligand fishing, peptide sequence and post-translational modification analysis by SPR-MS/MS and enzyme inhibitor screening.

Enzyme Inhibitors↗

Searching for markers of Creutzfeldt-Jakob disease in cerebrospinal fluid by two-dimensional mapping.

Differential proteomic analysis has been performed on the cerebrospinal fluid (CSF) of six healthy and six patients suffering form sporadic Creutzfeldt-Jakob disease (sCJD), age- and sex-matched, after immuno-subtraction of albumin and immunoglobulins. These maps have revealed 28 polypeptide chains differentially modulated in the sCJD samples, of which 10 appeared to be up-regulated, the remaining 18 being down-regulated. Among those, 13 could be identified upon digestion and MALDI-TOF, MS analysis. In addition, the strong modulation of cystatin C was also confirmed by immunoblot analysis and the highly altered level of the 14-3-3 proteins that escaped detection by 2-D mapping, could be assessed by Western blots and immuno-detection of monomeric and homo- and hetero-dimeric 14-3-3 isotypes. In search for a panel of potential markers for sCJD, we highlight cystatin C, 14-3-3 proteins, transferrin, ubiquitin, Apoliprotein J and perhaps some of the still unidentified, but strongly modulated polypeptide chains detected in the differential map.

14-3-3 Proteins↗

The proteome of Mannheimia succiniciproducens, a capnophilic rumen bacterium.

Mannheimia succiniciproducens MBEL55E isolated from bovine rumen is an industrially important bacterium as an efficient succinic acid producer. Recently, its full genome sequence was determined. In the present study, we analyzed the M. succiniciproducens proteome based on the genome information using 2-DE and MS. We established proteome reference map of M. succiniciproducens by analyzing whole cellular proteins, membrane proteins, and secreted proteins. More than 200 proteins were identified and characterized by MS/MS supported by various bioinformatic tools. The presence of proteins previously annotated as hypothetical proteins or proteins having putative functions were also confirmed. Based on the proteome reference map, cells in the different growth phases were analyzed at the proteome level. Comparative proteome profiling revealed valuable information to understand physiological changes during growth, and subsequently suggested target genes to be manipulated for the strain improvement.

Animals↗

Novel mobilizable prokaryotic two-hybrid system vectors for high-throughput protein interaction mapping in Escherichia coli by bacterial conjugation.

Since its initial description, the yeast two-hybrid (Y2H) system has been widely used for the detection and analysis of protein-protein interactions. Mating-based strategies have been developed permitting its application for automated proteomic interaction mapping projects using both exhaustive and high-throughput strategies. More recently, a number of prokaryotic two-hybrid (P2H) systems have been developed but, despite the many advantages such Escherichia coli-based systems have over the Y2H system, they have not yet been widely implemented for proteomic interaction mapping. This may be largely due to the fact that high-throughput strategies employing bacterial transformation are not as amenable to automation as Y2H mating-based strategies. Here, we describe the construction of novel conjugative P2H system vectors. These vectors carry a mobilization element of the IncPalpha group plasmid RP4 and can therefore be mobilized with high efficiency from an E.coli donor strain encoding all of the required transport functions in trans. We demonstrate how these vectors permit the exploitation of bacterial conjugation for technically simplified and automated proteomic interaction mapping strategies in E.coli, analogous to the mating-based strategies developed for the Y2H system.

Bacterial Proteins↗

Recent developments in computational proteomics.

The mapping of the human genome was completed earlier this year and efforts are underway to understand the role of gene products (i.e. proteins) in biological pathways and human disease and to exploit their functional roles to derive protein therapeutics and protein-based drugs. A key component to the next revolution in the 'post-genomic' era will be the increasingly widespread use of protein structure in rational experimental design. Improvements in quality, availability and utility of large-scale 3D and 4D protein structural information are enabling a revolution in rational design, having particular impact on drug discovery and optimization. New computational methodologies now yield modeled structures that are, in many cases, quantitatively comparable with crystal structures, at a fraction of the cost.

Animals↗

A systematic proteomic study of seed filling in soybean. Establishment of high-resolution two-dimensional reference maps, expression profiles, and an interactive proteome database.

A high-throughput proteomic approach was employed to determine the expression profile and identity of hundreds of proteins during seed filling in soybean (Glycine max) cv Maverick. Soybean seed proteins were analyzed at 2, 3, 4, 5, and 6 weeks after flowering using two-dimensional gel electrophoresis and matrix-assisted laser desorption ionization time-of-flight mass spectrometry. This led to the establishment of high-resolution proteome reference maps, expression profiles of 679 spots, and corresponding matrix-assisted laser desorption ionization time-of-flight mass spectrometry spectra for each spot. Database searching with these spectra resulted in the identification of 422 proteins representing 216 nonredundant proteins. These proteins were classified into 14 major functional categories. Proteins involved in metabolism, protein destination and storage, metabolite transport, and disease/defense were the most abundant. For each functional category, a composite expression profile is presented to gain insight into legume seed physiology and the general regulation of proteins associated with each functional class. Using this approach, an overall decrease in metabolism-related proteins versus an increase in proteins associated with destination and storage was observed during seed filling. The accumulation of unknown proteins, sucrose transport and cleavage enzymes, cysteine and methionine biosynthesis enzymes, 14-3-3-like proteins, lipoxygenases, storage proteins, and allergenic proteins during seed filling is also discussed. A user-intuitive database (http://oilseedproteomics.missouri.edu) was developed to access these data for soybean and other oilseeds currently being investigated.

Databases, Protein↗

Recent developments in computational proteomics.

The mapping of the human genome was completed earlier this year and efforts are underway to understand the role of gene products (i.e. proteins) in biological pathways and human disease and to exploit their functional roles to derive protein therapeutics and protein-based drugs. A key component to the next revolution in the 'post-genomic' era will be the increasingly widespread use of protein structure in rational experimental design. Improvements in quality, availability and utility of large-scale three- and four-dimensional protein structural information are enabling a revolution in rational design, having particular impact on drug discovery and optimization. New computational methodologies now yield modeled structures that are, in many cases, quantitatively comparable with crystal structures, at a fraction of the cost.

Journal Article↗