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Optimization and use of peptide mass measurement accuracy in shotgun proteomics.

Mass spectrometers that provide high mass accuracy such as FT-ICR instruments are increasingly used in proteomic studies. Although the importance of accurately determined molecular masses for the identification of biomolecules is generally accepted, its role in the analysis of shotgun proteomic data has not been thoroughly studied. To gain insight into this role, we used a hybrid linear quadrupole ion trap/FT-ICR (LTQ FT) mass spectrometer for LC-MS/MS analysis of a highly complex peptide mixture derived from a fraction of the yeast proteome. We applied three data-dependent MS/MS acquisition methods. The FT-ICR part of the hybrid mass spectrometer was either not exploited, used only for survey MS scans, or also used for acquiring selected ion monitoring scans to optimize mass accuracy. MS/MS data were assigned with the SEQUEST algorithm, and peptide identifications were validated by estimating the number of incorrect assignments using the composite target/decoy database search strategy. We developed a simple mass calibration strategy exploiting polydimethylcyclosiloxane background ions as calibrant ions. This strategy allowed us to substantially improve mass accuracy without reducing the number of MS/MS spectra acquired in an LC-MS/MS run. The benefits of high mass accuracy were greatest for assigning MS/MS spectra with low signal-to-noise ratios and for assigning phosphopeptides. Confident peptide identification rates from these data sets could be doubled by the use of mass accuracy information. It was also shown that improving mass accuracy at a cost to the MS/MS acquisition rate substantially lowered the sensitivity of LC-MS/MS analyses. The use of FT-ICR selected ion monitoring scans to maximize mass accuracy reduced the number of protein identifications by 40%.

Calibration↗

Cytosolic proteomic alterations in the nucleus accumbens of cocaine overdose victims.

Chronic cocaine use in humans and animal models is known to lead to pronounced alterations in neuronal function in the nucleus accumbens (NAc), a brain region associated with drug reinforcement. Two-dimensional gel electrophoresis was used to compare protein alterations in the NAc between cocaine overdose (COD) victims (n=10) and controls (n=10). Following image normalization, spots with significantly differential image intensities (P<0.05) were identified, excised, trypsin digested and analyzed by matrix-assisted laser desorption ionization-time of flight-time of flight. A total of 1407 spots were found to be present in a minimum of five subjects per group and the intensity of 18 spots was found to be differentially abundant between the groups, leading to positive identification of 15 proteins by peptide mass fingerprinting (PMF). Of an additional 37 protein spots that were constitutively expressed, 32 proteins were positively identified by PMF. Increased proteins in COD included beta-tubulin, liprin-alpha3 and neuronal enolase, whereas decreased proteins included parvalbumin, ATP synthase beta-chain and peroxiredoxin 2. The present data provide a preliminary protein profile of COD, suggesting the involvement of novel proteins and pathways in the expression of this complex disease. Additional studies are warranted to further characterize alterations in the differentially regulated proteins. Understanding the coordinated involvement of multiple proteins in cocaine abuse provides insight into the molecular basis of the disease and offers new targets for pharmacotherapeutic intervention for drug abuse-related disorders.

Adult↗

[Proteome study of colorectal cancer genesis and hepatic metastasis].

OBJECTIVE: To study differential expression proteins associated with colorectal cancer genesis and hepatic metastasis with proteomic techniques. METHODS: Using isoelectric focusing/SDS acrylamide gel two-dimensional electrophoresis to analyse differential expression protein spots among normal colorectal mucosa, primary cancer lesion and hepatic metastasis. Peptide mass fingerprinting was used to identify the differential proteins. RESULTS: Significant differences of protein expression were found on two-dimensional electrophoresis. Nine differential protein spots were analysed and identified. Calmodulin, ribonuclease 6 precursor and protein XP_040720 (mannosidase-alpha) were detected in normal colorectal mucosa, but lost in primary cancer lesion and hepatic metastasis. Proapolipoprotein was expressed progressively from normal mucosa to primary cancer and hepatic metastasis. Expression of beta-globin was found in normal mucosa and hepatic metastasis, but not in primary cancer lesion. Cdc42 was a differential expression protein in hepatic metastasis. Peptide mass fingerprints of differential protein spot C4, M7 and M9 had low homology with database proteins, they were candidates of associated proteins with colorectal cancer genesis and hepatic metastasis. CONCLUSION: Loss of calmodulin, ribonuclease 6 precursor and mannosidase-alpha expression are associated with colorectal cancer genesis. Enhancement expression of proapolipoprotein is related with colorectal genesis and hepatic metastasis. Cdc42 and beta-globin are associated proteins with hepatic metastasis of colorectal cancer.

Calmodulin↗

Recent applications of affinity interactions in capillary electrophoresis.

Systems biology depends on a comprehensive assignment and characterization of the interactions of proteins and polypeptides (functional proteomics) and of other classes of biomolecules in a given organism. High-capacity screening methods are in place for ligand capture and interaction screening, but a detailed dynamic characterization of molecular interactions under physiological conditions in efficiently separated mixtures with minimal sample consumption is presently provided only by electrophoretic interaction analysis in capillaries, affinity CE (ACE). This has been realized in different fields of biology and analytical chemistry, and the resulting advances and uses of ACE during the last 2.5 years are covered in this review. Dealing with anything from small divalent metal ions to large supramolecular assemblies, the applications of ACE span from low-affinity binding of broad specificity being exploited in optimizing selectivity, e.g., in enantiomer analysis to miniaturized affinity technologies, e.g., for fast processing immunoassay. Also, approaches that provide detailed quantitative characterization of analyte-ligand interaction for drug, immunoassay, and aptamer development are increasingly important, but various approaches to ACE are more and more generally applied in biological research. In addition, the present overview emphasizes that distinct challenges regarding sensitivity, parallel processing, information-rich detection, interfacing with MS, analyte recovery, and preparative capabilities remain. This will be addressed by future technological improvements that will ensure continuing new applications of ACE in the years to come.

Animals↗

Toward a human blood serum proteome: analysis by multidimensional separation coupled with mass spectrometry.

Blood serum is a complex body fluid that contains various proteins ranging in concentration over at least 9 orders of magnitude. Using a combination of mass spectrometry technologies with improvements in sample preparation, we have performed a proteomic analysis with submilliliter quantities of serum and increased the measurable concentration range for proteins in blood serum beyond previous reports. We have detected 490 proteins in serum by on-line reversed-phase microcapillary liquid chromatography coupled with ion trap mass spectrometry. To perform this analysis, immunoglobulins were removed from serum using protein A/G, and the remaining proteins were digested with trypsin. Resulting peptides were separated by strong cation exchange chromatography into distinct fractions prior to analysis. This separation resulted in a 3-5-fold increase in the number of proteins detected in an individual serum sample. With this increase in the number of proteins identified we have detected some lower abundance serum proteins (ng/ml range) including human growth hormone, interleukin-12, and prostate-specific antigen. We also used SEQUEST to compare different protein databases with and without filtering. This comparison is plotted to allow for a quick visual assessment of different databases as a subjective measure of analytical quality. With this study, we have performed the most extensive analysis of serum proteins to date and laid the foundation for future refinements in the identification of novel protein biomarkers of disease.

Blood Proteins↗

Interactions between peptides containing nucleobase amino acids and T7 phages displaying S. cerevisiae proteins.

The importance of high-throughput analyses of protein abundances and functions is interestingly increasing in genomic/proteomic studies. In such postgenome sequencing era, a protein-detecting chip, in which a large number of molecules specifically capturing target proteins (capturing agents) such as antibodies, recombinant proteins, and small molecules are arrayed onto solid, wet, or semi-wet substrates, enables comprehensive analysis of proteomes by a single experiment. However, whole proteomes are generally complicated for comprehensive analyses so that alternative approaches to subproteome analysis categorized by protein functions and binding properties (focused proteome) would be effective. Approaching the goal of development of designed peptide chip for protein analysis, diversity increases in peptide structures and validation of target proteins are needed. We herein describe design and synthesis of nucleobase amino acid (NBA)-containing peptides, selection of nucleic acid-related proteins derived from S. cerevisiae, and detection of interactions between NBA-containing peptides and T7 phages displaying proteins by both enzyme-linked immunosorbent assays (ELISA) and label-free anomalous reflection of gold (AR) measurements. Twenty-eight phage clones were obtained by the phage-display method and sequenced. Ten of 28 clones were expected to be nucleic acid-related proteins including initiation factor, TYB protein, ribosomal proteins, elongation factor, ATP synthase subunit, GTP-binding protein, and ribonuclease. Other phage clones encoded several classes of enzymes such as reductase, oxidase, aldolase, metalloprotease, and hexokinase. Both ELISA and AR measurements suggested that the methodology of in vitro selection for recognition of the NBA-containing peptide presented in this study was successfully established. Such a combination of NBA and phage display technologies would be potential to efficiently confirm valuable target proteins binding specifically to capturing agents, to be arrayed onto solid surfaces to develop the designed peptide chip.

Bacteriophage T7↗

Comparison of protein and peptide prefractionation methods for the shotgun proteomic analysis of Synechocystis sp. PCC 6803.

Proteome analysis by gel-free "shotgun" proteomics relies on the simplification of a peptide mixture before it is analyzed in a mass spectrometer. While separation on a reverse-phase (RP) liquid chromatographic column is widely employed, a variety of other methods have been used to fractionate both proteins and peptides before this step. We compared six different protein and peptide fractionation workflows, using Synechocystis sp. PCC 6803, a useful model cyanobacterium for potential exploitation to improve its production of hydrogen and other secondary metabolites. Pre-digestion protein separation was performed by strip-based isoelectric focusing, one-dimensional polyacrylamide gel electrophoresis, or weak anion exchange chromatography, while pre-RP peptide separation was accomplished by isoelectric focusing (IEF) or strong cation exchange chromatography. Peptides were identified using electrospray ionization quadrupole time of flight-tandem mass spectrometry. Mass spectrometry (MS) and tandem mass spectra were analyzed using ProID software employing both a single organism database and the entire NCBI non-redundant database, and a total of 776 proteins were identified using a stringent set of selection criteria. Method comparisons were made on the basis of the results obtained (number and types of proteins identified), as well as ease of use and other practical aspects. IEF-IEF protein and peptide fractionation prior to RP gave the best overall performance.

Chromatography, High Pressure Liquid↗

Proteomic changes in rat serum, polymorphonuclear and mononuclear leukocytes after chronic nicotine administration.

In order to gain information about the effect triggered at the molecular level by nicotine, its neuroimmunomodulatory properties and its impact on the pathogenesis of inflammatory diseases, peripheral blood serum and leukocytes of rat submitted to passive nicotine administration were subjected to proteomic investigation. Serum, polymorphonuclear (PMN) and mononuclear (MN) leukocytes from chronically treated animals and from control animals were analysed by a two-dimensional (2-D) gel electrophoresis/mass spectrometry approach to detect differentially expressed proteins. The nicotine regimen selected is known to have a stimulatory effect on locomotor activity and to produce a sensitisation of the mesolimbic dopamine system mechanism involved in addiction development. After 2-D gel analysis and matching, 36 spots in serum, seven in PMN and five in MN were found to display a statistical difference in their expression and were subjected to matrix-assisted laser desorption/ionization-time of flight-mass spectrometry peptide fingerprinting for protein identification. Fifteen different proteins were identified. The results indicate an overall impact of nicotine on proteins involved in a variety of cellular and metabolic pathways, including acute phase response (suggesting the effect on inflammatory cascades and more in general on the immune system), oxidative stress metabolism and assembly and regulation of cytoskeleton. In particular, the observed changes imply a general reduction in the inflammatory response with a concomitant increased unbalance of the oxidative stress metabolism in the periphery and point to a number of potential noninvasive markers for the central nervous system (CNS) and non-CNS mediated activities of nicotine.

Animals↗

A perspective on the use of iTRAQ reagent technology for protein complex and profiling studies.

Proteomic research includes the characterization of protein mixtures in order to understand complex biological systems and determine relationships between proteins, their function, and protein-protein interactions. Often the goal of such research is to monitor changes of proteins in perturbed systems, a type of study referred to as differential expression analysis. To perform these studies requires the ability to execute some type of differential comparison of a given protein state in reference to some type of a control. The iTRAQ reagents are a set of isobaric reagents which are amine specific and allow for the identification and quantitation of up to four different samples simultaneously. The amine specificity of these reagents makes most peptides in a sample amenable to this labeling strategy with no loss of information from samples involving post-translational modifications, such as the scrutiny of signal transduction pathways that often involve phosphorylation phenomena. In addition, the multiplexing capacity of these reagents allows for information replication within certain LC-MS/MS experimental regimes, providing additional statistical validation within any given experiment. The results presented herein demonstrate a few examples of the wide variety of quantitative information that can be realized when undertaking such experimental approaches. These include temporal analysis of drug-induced-protein expression, discovery and elucidation of disease markers, and protein-protein interactions in multi-protein complexes.

Animals↗

Proteome analysis of the silkworm (Bombyx mori. L) colleterial gland during different development stages.

The silkworm, Bombyx mori, colleterial gland developed very slowly until 2 days before emergence, then markedly enlarged due to the accumulation of a glue-like substances (mainly including 85% water and 11% proteins). However, the No glue (Ng) mutant female moth secreted only very little glue-like substance and laid loose eggs naturally. High-resolution two-dimensional polyacrylamide gel electrophoresis, followed by computer-assisted analysis, was used to screen the secretory region of colleterial gland protein patterns during different development stages to find quantitative and qualitative difference in protein expression during the pupae and moth stages. More than 700 protein spots were resolved in different developmental stages from the secretory region of the glands and most of the proteins were distributed in the mass range from 30 to 70 kD with pH 4-8. Through comparison and analysis, it was found that 3 proteins were only expressed in the later pupae stage (one or two days before emergence) and moth stage. Furthermore, these proteins were not expressed in the Ng mutant especially actin. There was a great variation of some protein expression volume during the development. Protein spots that changed more than 1.5-fold in expression level (relative to day 9), including 6 spots that were down-regulated and 2 spots that were up-regulated in expression were excised for identification by matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Results indicated that actins that participated or regulated the exocytosis of colleterial gland and other differentially expressed proteins might be related to colleterial gland development or the secretion of a glue-like substance.

Animals↗

Detection and analysis of protein-protein interactions in organellar and prokaryotic proteomes by native gel electrophoresis: (Membrane) protein complexes and supercomplexes.

It is an essential and challenging task to unravel protein-protein interactions in their actual in vivo context. Native gel systems provide a separation platform allowing the analysis of protein complexes on a rather proteome-wide scale in a single experiment. This review focus on blue-native (BN)-PAGE as the most versatile and successful gel-based approach to separate soluble and membrane protein complexes of intricate protein mixtures derived from all biological sources. BN-PAGE is a charge-shift method with a running pH of 7.5 relying on the gentle binding of anionic CBB dye to all membrane and many soluble protein complexes, leading to separation of protein species essentially according to their size and superior resolution than other fractionation techniques can offer. The closely related colorless-native (CN)-PAGE, whose applicability is restricted to protein species with intrinsic negative net charge, proved to provide an especially mild separation capable of preserving weak protein-protein interactions better than BN-PAGE. The essential conditions determining the success of detecting protein-protein interactions are the sample preparations, e.g. the efficiency/mildness of the detergent solubilization of membrane protein complexes. A broad overview about the achievements of BN- and CN-PAGE studies to elucidate protein-protein interactions in organelles and prokaryotes is presented, e.g. the mitochondrial protein import machinery and oxidative phosphorylation supercomplexes. In many cases, solubilization with digitonin was demonstrated to facilitate an efficient and particularly gentle extraction of membrane protein complexes prone to dissociation by treatment with other detergents. In general, analyses of protein interactomes should be carried out by both BN- and CN-PAGE.

Electrophoresis, Polyacrylamide Gel↗

Quantitative proteome analysis of human plasma following in vivo lipopolysaccharide administration using 16O/18O labeling and the accurate mass and time tag approach.

Identification of novel diagnostic or therapeutic biomarkers from human blood plasma would benefit significantly from quantitative measurements of the proteome constituents over a range of physiological conditions. Herein we describe an initial demonstration of proteome-wide quantitative analysis of human plasma. The approach utilizes postdigestion trypsin-catalyzed 16O/18O peptide labeling, two-dimensional LC-FTICR mass spectrometry, and the accurate mass and time (AMT) tag strategy to identify and quantify peptides/proteins from complex samples. A peptide accurate mass and LC elution time AMT tag data base was initially generated using MS/MS following extensive multidimensional LC separations to provide the basis for subsequent peptide identifications. The AMT tag data base contains >8,000 putative identified peptides, providing 938 confident plasma protein identifications. The quantitative approach was applied without depletion of high abundance proteins for comparative analyses of plasma samples from an individual prior to and 9 h after lipopolysaccharide (LPS) administration. Accurate quantification of changes in protein abundance was demonstrated by both 1:1 labeling of control plasma and the comparison between the plasma samples following LPS administration. A total of 429 distinct plasma proteins were quantified from the comparative analyses, and the protein abundances for 25 proteins, including several known inflammatory response mediators, were observed to change significantly following LPS administration.

Blood Proteins↗

[Proteome study of colorectal cancer genesis and hepatic metastasis].

OBJECTIVE: To study differential proteins and their biological functions associated with colorectal cancer genesis and hepatic metastasis by proteomics and molecular biology techniques. METHODS: Isoelectric focusing/SDS acrylamide gel two-dimensional electrophoresis was used to analyse the expression of differential proteins from normal colorectal mucosa, primary cancer lesion and hepatic metastasis region. Liquid chromatography/mass spectrometry (LC-MS/MS) was used to identify the differential proteins. Transfection of colorectal cancer lovo cells was performed with the differential protein cDNA, and the changes of cell biological behavior was observed. RESULTS: Significant difference in protein expression was found on two-dimensional electrophoresis. Thirteen differential protein spots were analysed and identified. Human carbonic anhydrase II was detected in normal colorectal mucosa but not in primary cancer lesion and hepatic metastasisnegion. Phosphoglycerate kinase 1, fumarate hydratase and aldolase A were expressed in primary cancer. Expression of homo sapiens arginase and homo sapiens glutathione S-transferase A3 was found in hepatic metastasisnegion, but not in primary cancer lesion. After transfection with human carbonic anhydrase II cDNA, the lovo cells changed obviously with reduction in invasiveness, chemotaxy motor ability and tolerance. CONCLUSION: Differential expression of proteins was found between colorectal cancer genesis and hepatic metastasisnegion. No carbonic anhydrase II expression and enhanced expression of sapiens arginase and sapiens glutathione S-transferase A3 are related with biological behavior of colorectal cancer cell and facilitate hepatic metastasis.

Adult↗

Development and implementation of an algorithm for detection of protein complexes in large interaction networks.

BACKGROUND: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry etc. are producing huge data sets of protein-protein interactions which can be portrayed as networks, and one of the burning issues is to find protein complexes in such networks. The enormous size of protein-protein interaction (PPI) networks warrants development of efficient computational methods for extraction of significant complexes. RESULTS: This paper presents an algorithm for detection of protein complexes in large interaction networks. In a PPI network, a node represents a protein and an edge represents an interaction. The input to the algorithm is the associated matrix of an interaction network and the outputs are protein complexes. The complexes are determined by way of finding clusters, i. e. the densely connected regions in the network. We also show and analyze some protein complexes generated by the proposed algorithm from typical PPI networks of Escherichia coli and Saccharomyces cerevisiae. A comparison between a PPI and a random network is also performed in the context of the proposed algorithm. CONCLUSION: The proposed algorithm makes it possible to detect clusters of proteins in PPI networks which mostly represent molecular biological functional units. Therefore, protein complexes determined solely based on interaction data can help us to predict the functions of proteins, and they are also useful to understand and explain certain biological processes.

Algorithms↗

Proteomic analysis of differentially expressed proteins between metastatic and non-metastatic human colorectal carcinoma cell lines.

OBJECTIVES: To explore the expressions of metastasis-related proteins between metastatic LS174T and non-metastatic SW480 human colorectal carcinoma cell lines. METHODS: Two-dimensional gel electrophoresis (2-DE) was applied to separate the total proteins of cells. The silver-stained gels were analysed by 2-DE software Image Master 2D Elite. Selected differential protein spots were identified with peptide mass fingerprinting based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and database searching. RESULTS: The protein endothelial cell growth factor 1 (platelet-derived), rhotekin protein (RTKN), septin 1, cyclin-dependent kinase 1, sialic acid binding Ig-like lectin 11, tyrosinase-related protein-2, translin-like protein, and DNA directed RNA polymerase II polypeptide J-related gene isoform 2 appeared in metastatic but were not detected in non-metastatic cell lines, whereas integrin-linked kinase-associated protein phosphatase 2C isoform 2, MHC class I promoter binding protein, protein phosphatase 2A regulatory subunit B' (PR 53), carboxypeptidase A5, paired box transcription factor, zinc finger protein 79, and apolipoprotein B-48 were detected in non-metastatic but were absent in metastatic cell lines. In addition, cyclin fold protein 1 variant A and pre-B-cell leukemia transcription factor 1 were lowly expressed in the non-metastatic cell line and were significantly upregulated in the metastatic cell line. These identified proteins were involved in cell growth, motility, invasion, adhesion, apoptosis and tumour immunity, which is associated with distinct aspects of tumour metastasis. CONCLUSIONS: These data are valuable for the identification of differentially expressed proteins involved in human colorectal carcinoma carcinogenesis and metastasis.

Adenocarcinoma↗

Impact of functional genomics and proteomics on radionuclide imaging.

The assessment of gene function following the completion of human genome sequencing may be performed using radionuclide imaging procedures. These procedures are needed for the evaluation of genetically manipulated animals or newly designed biomolecules, which requires a thorough understanding of physiology, biochemistry, and pharmacology. The experimental approaches will involve many new technologies, including in vivo imaging with single photon emission computed tomography and positron emission tomography. Nuclear medicine procedures may be applied for the determination of gene function and regulation using established and new tracers, or using in vivo reporter genes, such as genes encoding enzymes, receptors, antigens, or transporters. Visualization of in vivo reporter gene expression can be performed using radiolabeled substrates, antibodies, or ligands. Combinations of specific promoters and in vivo reporter genes may deliver information about the regulation of the corresponding genes. Furthermore, protein-protein interactions and activation of signal transduction pathways may be visualized noninvasively. The role of radiolabeled antisense molecules for the analysis of messenger ribonucleic acid (RNA) content has to be investigated. However, possible applications are therapeutic intervention using triplex oligonucleotides with therapeutic isotopes, which can be brought near to specific deoxyribonucleic acid sequences to induce deoxyribonucleic acid strand breaks at selected loci. Imaging of labeled siRNA makes sense if these are used for therapeutic purposes to assess the delivery of these new drugs to their target tissue. Pharmacogenomics will identify new surrogate markers for therapy monitoring, which may represent potential new tracers for imaging. Drug distribution studies for new therapeutic biomolecules are needed at least during preclinical stages of drug development. New treatment modalities, such as gene therapy with suicide genes, will need procedures for therapy planning and monitoring. Finally, new biomolecules will be developed by bioengineering methods, which may be used for the isotope-based diagnosis and treatment of disease.

Animals↗

High-throughput peptide mass fingerprinting of soybean seed proteins: automated workflow and utility of UniGene expressed sequence tag databases for protein identification.

Identification of anonymous proteins from two-dimensional (2-D) gels by peptide mass fingerprinting is one area of proteomics that can greatly benefit from a simple, automated workflow to minimize sample contamination and facilitate high-throughput sample processing. In this investigation we outline a workflow employing robotic automation at each step subsequent to 2-D gel electrophoresis. As proof-of-concept, 96 protein spots from a 2-D gel were analyzed using this approach. Whole protein (1 mg) from mature, dry soybean (Glycine max [L.] Merr.) cv. Jefferson seed was resolved by high resolution 2-D gel electrophoresis. Approximately 150 proteins were observed after staining with Coomassie Blue. The rather low number of detected proteins was due to the fact that the dynamic range of protein expression was greater than 100-fold. The most abundant proteins were seed storage proteins which in total represented over 60% of soybean seed protein. Using peptide mass fingerprinting 44 protein spots were identified. Identification of soybean proteins was greatly aided by the use of annotated, contiguous Expressed Sequence Tag (EST) databases which are available for public access (UniGene, ftp.ncbi.nih.gov/repository/UniGene/). Searches were orders of magnitude faster when compared to searches of unannotated EST databases and resulted in a higher frequency of valid, high-scoring matches. Some abundant, non seed storage proteins identified in this investigation include an isoelectric series of sucrose binding proteins, alcohol dehydrogenase and seed maturation proteins. This survey of anonymous seed proteins will serve as the basis for future comparative analysis of seed-filling in soybean as well as comparisons with other soybean varieties.

Databases, Genetic↗

Proteomic analysis of extracellular proteins from Aspergillus oryzae grown under submerged and solid-state culture conditions.

Filamentous fungi are widely used for the production of homologous and heterologous proteins. Recently, there has been increasing interest in Aspergillus oryzae because of its ability to produce heterologous proteins in solid-state culture. To provide an overview of protein secretion by A. oryzae in solid-state culture, we carried out a comparative proteome analysis of extracellular proteins in solid-state and submerged (liquid) cultures. Extracellular proteins prepared from both cultures sequentially from 0 to 40 h were subjected to two-dimensional electrophoresis, and protein spots at 40 h were identified by peptide mass fingerprinting using matrix-assisted laser desorption ionization-time-of-flight mass spectrometry. We also attempted to identify cell wall-bound proteins of the submerged culture. We analyzed 85 spots from the solid-state culture and 110 spots from the submerged culture. We identified a total of 29 proteins, which were classified into 4 groups. Group 1 consisted of extracellular proteins specifically produced in the solid-state growth condition, such as glucoamylase B and alanyl dipeptidyl peptidase. Group 2 consisted of extracellular proteins specifically produced in the submerged condition, such as glucoamylase A (GlaA) and xylanase G2 (XynG2). Group 3 consisted of proteins produced in both conditions, such as xylanase G1. Group 4 consisted of proteins that were secreted to the medium in the solid-state growth condition but trapped in the cell wall in the submerged condition, such as alpha-amylase (TAA) and beta-glucosidase (Bgl). A Northern analysis of seven genes from the four groups suggested that the secretion of TAA and Bgl was regulated by trapping these proteins in the cell wall in submerged culture and that secretion of GlaA and XynG2 was regulated at the posttranscriptional level in the solid-state culture.

Aspergillus oryzae↗