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Quantitative proteomic analysis of age-related changes in human cerebrospinal fluid.

Identification of cerebrospinal fluid (CSF) biomarkers of the common age-related neurodegenerative diseases would be of great value to clinicians because of the difficulties in differential diagnoses of these diseases in clinical practice. Proteins are one class of potential biomarkers currently under investigation in the hope that different ensembles of proteins will aid in the diagnosis of these diseases, as well as in the assessment of progression and response to therapy. However, before undertaking a rational approach to CSF protein biomarkers of age-related neurodegeneration, we must first systematically identify CSF proteins and determine whether their levels change with normal aging. In this study, we used a powerful shotgun proteomic method, two-dimensional microcapillary liquid chromatography electrospray ionization tandem mass spectrometry, to identify proteins in human CSF. Additionally, using pooled CSF samples, we quantitatively compared the CSF proteome of younger adults with that of older adults using isotope-coded affinity tags (ICAT). From these studies we identified more than 300 proteins in CSF and found that there were 30 proteins with >20% change in concentrations between older and younger individuals. Finally, we validated changes in concentration for two of these proteins using Western blots in CSF from a separate set of individuals. These data not only expand substantially our current knowledge regarding human CSF proteins, but also supply the necessary information to appropriately interpret protein biomarkers of age-related neurodegenerative diseases.

Adult↗

Proteome analysis of the phenotypic variation process in Photorhabdus luminescens.

Photorhabdus luminescens is an insect pathogen associated with specific soil nematodes. The bacterium has a complex life cycle with a symbiotic stage in which bacteria colonize the intestinal tract of the nematodes, and a pathogenic stage against susceptible larval-stage insect. Symbiosis-"deficient" phenotypic variants (known as secondary forms) arise during prolonged incubation. Correspondence analysis of the in silico proteome translated from the genome sequence of strain TT01 identified two major biases in the amino acid composition of the proteins. We analyzed the proteome, separating three classes of extracts: cellular, extracellular, and membrane-associated proteins, resolved by 2-DE. Approximately 450 spots matching the translation products of 231 different coding DNA sequences were identified by PMF. A comparative analysis was performed to characterize the protein content of both variants. Differences were evident during stationary growth phase. Very few proteins were found in variant II supernatants, and numerous proteins were lacking in the membrane-associated fraction. Proteins up-regulated by the phenotypic variation phenomenon were involved in oxidative stress, energy metabolism, and translation. The transport and binding of iron, sugars and amino acids were also affected and molecular chaperones were strongly down-regulated. A potential role for H-NS in phenotypic variation control is discussed.

Databases as Topic↗

Lateral roots affect the proteome of the primary root of maize (Zea mays L.).

Lateral roots are initiated from the pericycle cells of other types of roots and remain in contact with these roots throughout their life span. Although this physical contact has the potential to permit the exchange of signals, little is known about the flow of information from the lateral roots to the primary root. To begin to study these interactions the proteome of the primary root system of the maize (Zea mays L.) lrt1 mutant, which does not initiate lateral roots, was compared with the corresponding proteome of wild-type seedlings 9 days after germination. Approximately 150 soluble root proteins were resolved by two-dimensional electrophoresis and analyzed by MALDI-ToF mass spectrometry and database searching. The 96 most abundant proteins from a pH 4-7 gradient were analyzed; 67 proteins representing 47 different Genbank accessions were identified. Interestingly, 10 (15/150) of the detected proteins were preferentially expressed in lrt1 roots that lack lateral roots. Eight of these lrt1-specific proteins were identified and four are involved in lignin metabolism. This study demonstrates for the first time the influence of lateral roots on the proteome of the primary root system. To our knowledge this is the first study to demonstrate an interaction between two plant organs (viz., lateral and primary roots) at the level of the proteome.

Electrophoresis, Gel, Two-Dimensional↗

Proteins associated with the cell envelope of Trichoderma reesei: a proteomic approach.

A total of 220 cell envelope-associated proteins were successfully extracted and separated from Trichoderma reesei mycelia actively synthesizing and secreting proteins and from mycelia in which the secretion of proteins are low. Altogether 56 spots were examined by nanoelectrospray tandem mass spectrometry and amino acid sequence was obtained for 32 spots. From these, 20 spots were identified by Advanced BLAST searches against all databases available to BLAST. The most abundant protein in both types of mycelia was HEX1, the major protein in Woronin body, a structure unique to filamentous fungi. Other proteins identified were vacuolar protease A, enolase, glyceraldehyde-3-phosphate dehydrogenase, transaldolase, protein disulfide isomerase, mitochondrial outer membrane porin, diphosphate kinase and translation elongation factor beta. Partial short amino acid sequence obtained from some proteins did not allow them to be assigned to a specific protein in the database by BLAST search. In some cases, the tandem mass spectrometry spectra were too complicated to be able to assign an amino acid sequence with certainty. The number of spots (12) giving a clear signal but finding no match in the databases suggests that a majority of proteins associated with a filamentous fungal cell wall, are novel. Some technical problems related to protein isolation are also discussed.

Amino Acid Sequence↗

Functional genomics studied by proteomics.

The human genome contains about 30,000 genes, each creating several transcripts per gene. Transcript structures and expression are studied by high-throughput transcriptomic techniques using microarrays. Generally, transcripts are not directly operating molecules, but are translated into functional proteins, post-translationally modified by proteolysis, glycosylation, phosphorylation, etc., sometimes with great functional impact. Proteins need to be analyzed by proteomic techniques, less suited for high-throughput. Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), separating thousands of proteins has developed slowly over the past quarter of a century. This technique is now quite reproducible and suitable for differential proteomics, comparing normal and diseased cells/tissues revealing differentially regulated proteins. 2D-PAGE is combined with protein-identification methods, currently mass spectrometry (MS), which has been significantly improved over the last decade. Other proteomic techniques studying protein-protein interactions are now either established or still being developed, such as peptide or protein arrays, phage display, and the yeast two-hybrid system. The strengths and weaknesses of these techniques are discussed.

Databases, Factual↗

Proteomic analysis of secreted proteins of non-small cell lung cancer.

BACKGROUND & OBJECTIVE: Secreted proteins from cancer cells may be potential serologic biomarkers of cancer. It's important to globally identify secreted proteins of cancer cells. This study was to identify secreted proteins of lung cancer cells. METHODS: Proteins in the conditioned medium of non-small cell lung cancer (NSCLC) cell line A549 was collected and the proteome analysis was subsequently performed. Specific protein spots in A549 cells were identified by peptide mass fingerprints using mass spectrometry and through searching database. The expression of identified secreted proteins was detected by reverse transcription-polymerase chain reaction (RT-PCR) in 15 specimens of NSCLC tissue and paired distant lung tissue. Manganese superoxide dismutase (Mn-SOD) activity in serum and conditioned medium was detected by spectrophotometry. RESULTS: Fourteen secreted proteins were identified, which included peptidyl-prolyl cis-trans isomerase A (PPIA), Mn-SOD, peroxiredoxin 1 (PDX1), phosphatidylethanolamine binding protein (PEBP), glutathione S-transferase P (GSTP1-1), glucose-dependent insulinotropic protein receptor (GIPR), ubiquitin carboxyl-terminal hydrolase isozyme L1 (PGP9.5), alpha enolase (ENO1), dihydrodiol dehydrogenase (DDH), phosphoglycerate mutase 1 (PGAM1), galectin-1 (GAL1). PPIA, DDH, PGAM1, PDX1, PGP9.5, ENO1, and PEBP were overexpressed in cancer tissues. Higher level of Mn-SOD activity was detected in conditioned medium than in control. Serum Mn-SOD activity was significantly higher in NSCLC patients than in healthy controls (P<0.01). CONCLUSIONS: Multiple secreted proteins of A549 cells were identified in this study and the overexpression of ENO1 and PEBP in NSCLC was revealed for the first time. Mn-SOD is secreted serologic marker of NSCLC. The results presented here would provide clues to identify new serologic biomarkers of NSCLC.

Adult↗

Getting more from less: algorithms for rapid protein identification with multiple short peptide sequences.

We describe two novel sequence similarity search algorithms, FASTS and FASTF, that use multiple short peptide sequences to identify homologous sequences in protein or DNA databases. FASTS searches with peptide sequences of unknown order, as obtained by mass spectrometry-based sequencing, evaluating all possible arrangements of the peptides. FASTF searches with mixed peptide sequences, as generated by Edman sequencing of unseparated mixtures of peptides. FASTF deconvolutes the mixture, using a greedy heuristic that allows rapid identification of high scoring alignments while reducing the total number of explored alternatives. Both algorithms use the heuristic FASTA comparison strategy to accelerate the search but use alignment probability, rather than similarity score, as the criterion for alignment optimality. Statistical estimates are calculated using an empirical correction to a theoretical probability. These calculated estimates were accurate within a factor of 10 for FASTS and 1000 for FASTF on our test dataset. FASTS requires only 15-20 total residues in three or four peptides to robustly identify homologues sharing 50% or greater protein sequence identity. FASTF requires about 25% more sequence data than FASTS for equivalent sensitivity, but additional sequence data are usually available from mixed Edman experiments. Thus, both algorithms can identify homologues that diverged 100 to 500 million years ago, allowing proteomic identification from organisms whose genomes have not been sequenced.

Algorithms↗

Clinical bioinformatics.

Clinical bioinformatics provides biological and medical information to allow for individualized healthcare. In this review, we describe the uses of clinical bioinformatics. After the analysis of the complete human genome sequences, clinical bioinformatics enables researchers to search online biological databases and use the biological information in their medical practices. The data obtained from using microarray is extremely complicated. In clinical bioinformatics, selecting appropriate software to analyze the microarray data for medical decision making is crucial. Proteomics strategy tools usually focus on similarity searches, structure prediction, and protein modeling. In clinical bioinformatics, the proteomic data only have meaning if they are integrated with clinical data. In pharmacogenomics, clinical bioinformatics includes elaborate studies of bioinformatics tools and various facets of proteomics related to drug target identification and clinical validation. Using clinical bioinformatics, researchers apply computational and high-throughput experimental techniques to cancer research and systems biology. Meanwhile, researchers of bioinformatics and medical information have incorporated clinical bioinformatics to improve health care, using biological and medical information. Using the high volume of biological information from clinical bioinformatics will contribute to changes in practice standards in the healthcare system. We believe that clinical bioinformatics provides benefits of improving healthcare, disease prevention and health maintenance as we move toward the era of personalized medicine.

Computational Biology↗

Database of bronchoalveolar lavage fluid proteins.

Bronchoalveolar lavage during fiberoptic bronchoscopy is extensively used for investigating cellular and biochemical alterations of the epithelial lining fluid in various lung disorders. Two-dimensional electrophoresis (2-DE) offers the possibility to simultaneously display and analyze proteins contained in bronchoalveolar lavage fluid (BALF). We present the current status of 2-DE of BALF samples with an updated listing of the proteins already identified and of their level and/or posttranslational alterations in lung disorders. Alternatives to 2-DE of BALF samples and future prospects of proteomics to unravel lung functions and pathologies are discussed.

Bronchoalveolar Lavage Fluid↗

'Oming in on schistosomes: prospects and limitations for post-genomics.

The recent release of version 3 of the Schistosoma mansoni genome assembly has made a wealth of information available to researchers. Here, progress made in schistosome genomics and post-genomics is considered. The current status of knowledge about the genome, transcriptome, proteome, glycome and immunome is summarized and recent publications briefly reviewed. The prospects for advances in understanding schistosome biology are highlighted. Most importantly, the limitations (which are mostly technical) that need to be addressed before the full potential of the genome database(s) can be realized are emphasized.

Animals↗

Proteomic identification of human sperm proteins.

Conventional 1-DE has in the past provided a wealth of information concerning the major sperm proteins. However, so far there are relatively few reports exploiting the potential of the present proteomic tools to identify and to study additional yet-unidentified important proteins present in human spermatozoa. In the present work, 2-DE of proteins extracted from human normozoospermic spermatozoa led to the resolution of over 1000 spots. Subsequent excision from the gels of 145 spots and MALDI-TOF MS analysis allowed the identification of 98 different proteins. The function of these proteins turned out to be energy production (23%), transcription, protein synthesis, transport, folding and turnover (23%), cell cycle, apoptosis and oxidative stress (10%), signal transduction (8%), cytoskeleton, flagella and cell movement (10%), cell recognition (7%), metabolism (6%) and unknown function (11%). As many as 23% of the proteins identified have not been previously described as being expressed in human spermatozoa. The present data provide an important clue towards determining the function of these proteins and opens up the possibility to perform additional experiments.

Databases, Protein↗

Concept of sample in OMICS technology.

Fundamental biological processes can now be studied by applying the full range of OMICS technologies (genomics, transcriptomics, proteomics, metabolomics, and beyond) to the same biological sample. Clearly, it would be desirable if the concept of sample were shared among these technologies, especially as up until the time a biological sample is prepared for use in a specific OMICS assay, its description is inherently technology independent. Sharing a common informatic representation would encourage data sharing (rather than data replication), thereby reducing redundant data capture and the potential for error. This would result in a significant degree of harmonization across different OMICS data standardization activities, a task that is critical if we are to integrate data from these different data sources. Here, we review the current concept of sample in OMICS technologies as it is being dealt with by different OMICS standardization initiatives and discuss the special role that the newly formed Genomic Standards Consortium (GSC) might have to play in this domain.

Animals↗

The mitochondrial proteins of the neuroblastoma cell line IMR-32.

Mitochondrial proteins exert important functions in biological pathways, particularly they are involved in apoptotic processes. We applied proteomics technologies to analyze the mitochondrial proteins of the neuroblastoma cell line IMR-32, which is often used in apoptosis studies. The proteins were analyzed by two-dimensional (2-D) electrophoresis followed by matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS). 185 different gene products were identified, of which approximately 55% were enzymes with a broad spectrum of catalytic activities. Sixteen proteins were detected only in this preparation, the others have been detected in two or more protein samples analyzed by MS in our laboratory. The 16 unique gene products were represented by one spot each, whereas most of the frequently detected proteins were represented by multiple spots. In average, approximately 5-10 spots corresponded to one gene product. For two thirds of the proteins identified, an annotation exists in the SWISS-PROT database about their subcellular location. They are mainly described as mitochondrial, 8 as endoplasmic reticulum, 3 as peroxisomal and only 12 low-abundance proteins are described as cytosolic proteins. The list includes about 30 unknown, hypothetical or poorly described gene products. Some of them are represented by strong spots and the present study shows that they are indeed expressed and are localized in the mitochondria.

Apoptosis↗

LOCATE: a mouse protein subcellular localization database.

We present here LOCATE, a curated, web-accessible database that houses data describing the membrane organization and subcellular localization of proteins from the FANTOM3 Isoform Protein Sequence set. Membrane organization is predicted by the high-throughput, computational pipeline MemO. The subcellular locations of selected proteins from this set were determined by a high-throughput, immunofluorescence-based assay and by manually reviewing >1700 peer-reviewed publications. LOCATE represents the first effort to catalogue the experimentally verified subcellular location and membrane organization of mammalian proteins using a high-throughput approach and provides localization data for approximately 40% of the mouse proteome. It is available at http://locate.imb.uq.edu.au.

Animals↗

Proteomic analysis of the effect of heat stress on hexaploid wheat grain: Characterization of heat-responsive proteins from total endosperm.

High temperatures during grain filling have been reported to be one of the factors that can affect the dough properties and quality characteristics of wheat. Responses to high temperature have been related to changes in protein composition at both quantitative and qualitative levels. The present study was conducted to determine the influence of high temperature during grain filling on the protein composition of bread wheat evaluated by proteomic tools. Plants were grown in the field and transferred to cabinets soon after flowering. They were subjected to two thermal regimes 18 degrees C/10 degrees C (day/night) and 34 degrees C/10 degrees C. Total proteins were extracted from control grains and treated plants at three different post-anthesis stages. The proteins were separated by two-dimensional gel electrophoresis and analysed by Melanie 3 software. Of the total number of mature wheat grain proteins, 37 were identified as significantly changed by heat treatment. Analysis by matrix-assisted laser desorption/ionization mass spectrometry and tandem mass spectrometry coupled with database searching allowed the characterization of 25 heat-induced proteins and only one heat-decreased protein spot. To learn more about the function of the identified proteins, we examined their expression during treatment.

Chromatography, High Pressure Liquid↗

Cardiovascular-related proteins identified in human plasma by the HUPO Plasma Proteome Project pilot phase.

Proteomic profiling of accessible bodily fluids, such as plasma, has the potential to accelerate biomarker/biosignature development for human diseases. The HUPO Plasma Proteome Project pilot phase examined human plasma with distinct proteomic approaches across multiple laboratories worldwide. Through this effort, we confidently identified 3020 proteins, each requiring a minimum of two high-scoring MS/MS spectra. A critical step subsequent to protein identification is functional annotation, in particular with regard to organ systems and disease. Performing exhaustive literature searches, we have manually annotated a subset of these 3020 proteins that have cardiovascular-related functions on the basis of an existing body of published information. These cardiovascular-related proteins can be organized into eight groups: markers of inflammation and/or cardiovascular disease, vascular and coagulation, signaling, growth and differentiation, cytoskeletal, transcription factors, channels/receptors and heart failure and remodeling. In addition, analysis of the peptide per protein ratio for MS/MS identification reveals group-specific trends. These findings serve as a resource to interrogate the functions of plasma proteins, and moreover, the list of cardiovascular-related proteins in plasma constitutes a baseline proteomic blueprint for the future development of biosignatures for diseases such as myocardial ischemia and atherosclerosis.

Arteriosclerosis↗

Immunoproteome analysis of soluble and membrane proteins of Shigella flexneri 2457T.

AIM: To profile the immunogenic proteins of Shigella flexneri (S. flexneri) expressed during human infection using a proteomic approach. METHODS: Soluble and membrane protein extractions of S. flexneri 2457T were separated by two-dimensional gel electrophoresis (2-DE). Proteins were transferred to PVDF membrane and immunoblotted with sera from shigellosis patients. Reactive protein spots were matched to Coomassie stained gels run in parallel, cut out and trypsin digested. Matrix-assisted laser desorption/ionization time of flight-mass spectrometry (MALDI-TOF-MS) was used to determine the peptide mass fingerprints, which were searched in the MASCOT database to identify the protein. RESULTS: A total of 8 immunoreactive proteins were successfully identified from the Coomassie stained gels in three repeats. Six of these proteins have not previously been reported as immunogenic in S. flexneri. These proteins could be potential candidates for vaccine or attenuation studies. CONCLUSION: Soluble and membrane proteins of S. flexneri 2457T have been screened by 2-DE and immunoblotting with sera from shigellosis patients. Eight proteins are identified as immunogenic.

Animals↗

Proteome comparison of Vibrio cholerae cultured in aerobic and anaerobic conditions.

The pathogen Vibrio cholerae causes severe diarrheal disease in humans. This environmental inhabitant has two distinct life cycles, in the environment and in the human small intestine, in which it differs in its multiplication behavior and virulence expression. Anaerobiosis, limitation of some nutrient elements, and excess burden from host metabolism reactants are the major stresses for V. cholerae living in intestine, in comparison to conditions in the environment and laboratory medium. For an insight into the response of V. cholerae to different microenvironments, we cultured the bacteria in aerobic and anaerobic conditions, and compared the whole cell proteome by two-dimensional electrophoresis. Among the protein spots identified, some protein species involved in aerobic respiration and the nutrient carbohydrate transporters were found to be more abundant in aerobic conditions, and some enzymes for anaerobic respiration and some stress response proteins were found more abundant in anaerobic culture. One spot corresponding to flagellin B subunit was decreased in anaerobic conditions, which suggests correlation with the meticulous regulation of bacterial motility during infection in the host intestine. This proteome analysis is the starting point for in-depth understanding of V. cholerae behavior in different environments.

Bacterial Proteins↗