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New insights into the rat spermatogonial proteome: identification of 156 additional proteins.

Despite the essential role played by spermatogonia in testicular function, little is known about these cells. To improve our understanding of their biology, our group recently identified a set of 53 spermatogonial proteins using two-dimensional (2-D) gel electrophoresis and mass spectrometry. To continue this work, we investigated a subset of the spermatogonial proteome using narrow range immobilized pH gradients to favor the detection of less abundant proteins. A 2-D reference map of spermatogonia in the pH range 4-9 was created, and protein entities fractionated in a pH 5-6 2-D gel were further processed for protein identification. A new set of 156 polypeptides was identified by peptide mass fingerprinting and tandem mass spectrometry. These polypeptides corresponded to 102 different proteins, which reflect the complexity of post-translational modifications. Seventy-nine of these proteins were identified for the first time in spermatogonia. All identified proteins were classified into functional groups. This work represents a first step toward the establishment of a systematic spermatogonia protein database.

Animals↗

An automated method for finding molecular complexes in large protein interaction networks.

BACKGROUND: Recent advances in proteomics technologies such as two-hybrid, phage display and mass spectrometry have enabled us to create a detailed map of biomolecular interaction networks. Initial mapping efforts have already produced a wealth of data. As the size of the interaction set increases, databases and computational methods will be required to store, visualize and analyze the information in order to effectively aid in knowledge discovery. RESULTS: This paper describes a novel graph theoretic clustering algorithm, "Molecular Complex Detection" (MCODE), that detects densely connected regions in large protein-protein interaction networks that may represent molecular complexes. The method is based on vertex weighting by local neighborhood density and outward traversal from a locally dense seed protein to isolate the dense regions according to given parameters. The algorithm has the advantage over other graph clustering methods of having a directed mode that allows fine-tuning of clusters of interest without considering the rest of the network and allows examination of cluster interconnectivity, which is relevant for protein networks. Protein interaction and complex information from the yeast Saccharomyces cerevisiae was used for evaluation. CONCLUSION: Dense regions of protein interaction networks can be found, based solely on connectivity data, many of which correspond to known protein complexes. The algorithm is not affected by a known high rate of false positives in data from high-throughput interaction techniques. The program is available from ftp://ftp.mshri.on.ca/pub/BIND/Tools/MCODE.

Algorithms↗

Proteomic analysis of the human pathogen Trypanosoma cruzi.

Trypanosoma cruzi, the protozoan that causes Chagas disease, possesses a complex life cycle involving different developmental stages. Experimental conditions for two-dimensional electrophoresis (2-DE) analysis of T. cruzi trypomastigote, amastigote and epimastigote proteomes were optimized. Comparative proteome analysis of the cell-cycle stages were carried out, revealing that few proteins included in the 2-DE maps displayed significant differential expression among the three developmental forms of the parasite. In order to identify landmark proteins, spots from the trypomastigote 2-DE map were subjected to matrix-assisted laser desorption/ionization-time of flight mass spectrometry peptide mass fingerprinting, resulting in 26 identifications that corresponded to 19 different proteins. Among the identified polypeptides, there were heat shock proteins (HSP; chaperones, HSP 60, HSP 70 and HSP 90), elongation factors, glycolytic pathway enzymes (enolase, pyruvate kinase and 2,3 bisphosphoglycerate mutase) and structural proteins (KMP 11, tubulin and paraflagellar rod components). The relative expression of the identified proteins in the 2-DE maps of the T. cruzi developmental stages is also presented.

Animals↗

Proteomic dataset of Sca-1+ progenitor cells.

Embryonic stem cells (ES cells) can differentiate into endothelial cells and smooth muscle cells (SMCs), which participate in vascular angiogenesis. In this study, we differentiated mouse ES cells into Sca-1(+) cells, which have the potential to serve as vascular progenitor cells, and mapped their proteome by 2-DE using a pH 3-10 non-linear gradient and 12% SDS-polyacrylamide gels. A subset of 300 protein spots was analysed and mapped, with 241 protein spots being identified by their PMF using MALDI-TOF MS or by partial amino acid sequencing using MS/MS. Our protein map is the first of Sca-1(+) progenitor cells and will facilitate the identification of proteins differentially expressed during stem cell differentiation. The proteome of adult arterial SMCs is described in an accompanying paper (in this issue, DOI 10.1002/pmic.200402045). All data are made accessible on our website http://www.vascular-proteomics.com.

Animals↗

Increases in pig major acute-phase protein in wasting pigs brought to the abattoir.

Plasma proteins of wasting pigs were quantitatively and qualitatively compared with those of normal fattening pigs. Higher expression of a 120 kDa protein was observed in the plasma of wasting pigs by SDS-PAGE. This protein was identified as pig major acute-phase protein (Pig-MAP) by proteomic analysis using two-dimensional electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The plasma concentration of Pig-MAP in wasting pigs was 7-fold higher than that of normal ones.

Abattoirs↗

Proteomics in alcohol research.

The proteome is the complete set of proteins in an organism. It is considerably larger and more complex than the genome--the collection of genes that encodes these proteins. Proteomics deals with the qualitative and quantitative study of the proteome under physiological and pathological conditions (e.g., after exposure to alcohol, which causes major changes in numerous proteins of different cell types). To map large proteomes such as the human proteome, proteins from discrete tissues, cells, cell components, or biological fluids are first separated by high-resolution two-dimensional electrophoresis and multidimensional liquid chromatography. Then, individual proteins are identified by mass spectrometry. The huge amount of data acquired using these techniques is analyzed and assembled by fast computers and bioinformatics tools. Using these methods, as well as other technological advances, alcohol researchers can gain a better understanding of how alcohol globally influences protein structure and function, protein-protein interactions, and protein networks. This knowledge ultimately will assist in the early diagnosis and prognosis of alcoholism and the discovery of new drug targets and medications for treatment.

Alcoholism↗

Microwave-assisted acid hydrolysis of proteins combined with liquid chromatography MALDI MS/MS for protein identification.

Simple and efficient digestion of proteins, particularly hydrophobic membrane proteins, is of significance for comprehensive proteome analysis using the bottom-up approach. We report a microwave-assisted acid hydrolysis (MAAH) method for rapid protein degradation for peptide mass mapping and tandem mass spectrometric analysis of peptides for protein identification. It uses 25% trifluoroacetic acid (TFA) aqueous solution to dissolve or suspend proteins, followed by microwave irradiation for 10 min. This detergent-free method generates peptide mixtures that can be directly analyzed by liquid chromatography (LC) matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) without the need of extensive sample cleanup. LC-MALDI MS/MS analysis of the hydrolysate from 5 microg of a model transmembrane protein, bacteriorhodopsin, resulted in almost complete sequence coverage by the peptides detected, including the identification of two posttranslational modification sites. Cleavage of peptide bonds inside all seven transmembrane domains took place, generating peptides of sizes amenable to MS/MS to determine possible sequence errors or modifications within these domains. Cleavage specificity, such as glycine residue cleavage, was observed. Terminal peptides were found to be present in relatively high abundance in the hydrolysate, particularly when low concentrations of proteins were used for MAAH. It was shown that these peptides could still be detected from MAAH of bacteriorhodopsin at a protein concentration of 1 ng/microl or 37 fmol/microl. To evaluate the general applicability of this method, it was applied to identify proteins from a membrane protein enriched fraction of cell lysates of human breast cancer cell line MCF7. With one-dimensional LC-MALDI MS/MS, a total of 119 proteins, including 41 membrane-associated or membrane proteins containing one to 12 transmembrane domains, were identified by MS/MS database searching based on matches of at least two peptides to a protein.

Amino Acid Sequence↗

Separation and identification of rat skeletal muscle proteins using two-dimensional gel electrophoresis and mass spectrometry.

Skeletal muscle plays a major role in whole body protein metabolism, and changes in the rates of synthesis and degradation of proteins are likely to lead to characteristic changes in the amounts of different proteins in muscle under various physiological and pathological conditions. This paper demonstrates the feasibility of a proteomic approach to analyzing the protein composition of skeletal muscle. We report here the initial establishment of two-dimensional gel electrophoresis (2-D PAGE) reference maps for mixed skeletal muscle taken from the abdominal wall of a normal adult rat. We used immobilized pH gradients of 3-10 (non-linear) and 4-7 (linear), and matrix assisted laser desorption/ionization--time of flight mass spectrometry for protein identification by peptide mass fingerprinting. More than 600 protein spots were detected on each gel, of which 100 were excised and characterized. In-gel digestion followed by peptide mass fingerprinting enabled tentative identification of 74 of these, which included a wide range of myofibrillary and sarcoplasmic proteins. This database should provide the nucleus of a valuable resource for investigation of the biochemical basis of skeletal muscle pathologies in general and such specific disorders as alcoholic myopathy and injury.

Animals↗