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Longevity of cardiac and skeletal muscle proteins is dependent on tissue and subcellular compartmentation patterns.

Myocytes are exceptionally long-lived cells that must maintain proteome integrity over decades while adjusting for changes in functional output and metabolic demand. We used in vivo stable isotope labeling combined with mass spectrometry proteomics and correlated multi-isotope imaging mass spectrometry to quantify and visualize protein turnover across cardiac, fast-twitch, and slow-twitch skeletal muscles, creating a resource of hundreds of individual protein turnover rates from each tissue. We found that cardiac muscle has the highest rate of protein turnover, followed by slow-twitch skeletal muscle and then fast-twitch skeletal muscle, and that these different rates of protein turnover are driven by different levels of muscle use, rather than myosin isoform composition. We also identified protein age heterogeneity at the myofiber and sarcomere levels. These findings uncover fundamental principles of muscle protein maintenance and have broad implications for understanding cellular aging, muscle disease, and the design of therapeutic strategies targeting muscle protein turnover.

Animals↗

Proteomic technology and its biomedical applications.

Proteomics has its origins in two-dimensional gel electrophoresis (2-DE), a technique developed more than twenty years ago. 2-DE has a high-resolution capacity, and was initially used primarily for separating and characterizing proteins in complex mixtures. 2-DE remains an important tool for protein identification, but is now normally coupled with mass spectrometry (MS), a technique which has advanced considerably in recent years. The recent completion of human genome project has produced a large DNA database which can be utilized through bioinformatics, and the next challenge for scientists is to uncover the entire proteome of a particular organism. The integration of genomic and proteomic data will help to elucidate the functions of proteins in the pathogenesis of diseases and the ageing process, and could lead to the discovery of novel drug target proteins and biomarkers of diseases. This review describes recent advances in proteomic technology and discusses the potential applications of proteomics in biomedical research.

Biomedical Research↗

Generation of mouse mutants as a tool for functional genomics.

As sequence information becomes available from the Human Genome Project, key developments include systematic methods for assigning function to each of the 100,000 or so genes. Strategies for coping with this sequence information, including microarray analysis and proteomics, will further our understanding of how genes function and interact. Ultimately, however, the simplest way to understand how a gene works is to examine the consequences of interference with its function: mutational analysis. The mouse represents the model organism of choice in the analysis of gene function; close enough to human to represent a satisfactory model organism, yet relatively easy to manipulate at a genetic level. Two complementary approaches, genotype- and phenotype-based, have been established in the mouse genetics and genomics communities to systematically generate new mouse mutations. Genotype-based approaches are advantageous in that molecular analysis of mutations is facilitated. Phenotypic analysis, however, is often assumed based on gene expression patterns, often leading to unexpected results. Phenotype-based approaches do not make prior assumptions about gene function. Often, however, it may be difficult to define the underlying genetic lesion. Progress in each of these approaches will be considered and situations in which they might be mutually beneficial will be investigated.

Animals↗

[Identification of proteome molecules by proteomics using two-dimensional gel electrophoresis and MALDI-TOF MS].

Genomic technologies have enabled rapid accumulation of information from complex biological systems over the last two decades. The complete DNA sequence is now known for many organisms and the informational database obtained from genome sequencing projects has provided the base for the specification of proteome - the protein complement of genome. Genomic functions can be inferred from the analysis of gene structure and gene expression profiles because proteins are the functional molecules of an organism. Integrated technologies including protein separation, identification, characterization and information manage system are essential to analyze the proteins in complex cellular matrix. This study is focusing on the strategies of proteome analysis using sample preparation, 2-dimensional gel electrophoresis, processing of protein spots and identification of proteins, protein-protein interaction and posttranslational modification using MALDI-TOF-MS. 2-D gel electrophoresis is currently the most powerful protein separation technique and MALDI-TOF MS is powerful identification technique for protein and peptides as a sensitive, rapid, and high resolution analytical method. The developed integrated proteome technologies are very useful to understand the biological phenomena at molecular level by identifying the new molecules and their modifications in various cellular processes, and can be applied for biotechnology including medical science.

Databases, Protein↗

Proteomic characterization of acid stress response in Synechocystis sp. PCC 6803.

A comparative proteomic analysis using 2-DE coupled with MALDI-MS and LC-MS/MS was performed in Synechocystis sp. PCC 6803 to identify protein candidates involved in acid stress response in cyanobacteria. Comparison of soluble proteins from the cytoplasmic fraction of cells grown on media set at pH 7.5 and 5.5 using 2-DE identified four proteins, which showed significant changes in the abundance. Surprisingly, several general stress proteins, either the heat shock family proteins or chaperonins, did not show perceptible fold changes in response to acidity. Compared to the cytoplasmic proteome, the periplasmic proteome showed remarkable changes as a function of external pH. Protein expression profiling at different external pH, i.e., 9.0, 7.5, 6.0 and 5.5, allowed classifying the periplasmic proteins depending on their preferential expression patterns towards acidity or alkalinity. Among the acid- and base-induced proteins, oxalate decarboxylase and carbonic anhydrase were already known for their role in pH homeostasis. Several unknown proteins from the periplasm, that showed significant changes in response to pH, provide ideal targets for further studies in understanding pH stress response in cyanobacteria. This study also identified 14 novel proteins, hitherto unknown from the periplasmic space of Synechocystis.

Bacterial Proteins↗

Proteome and proteomics for the research on protein alterations in aging.

Functional decline of tissues in aged animals is a result of cellular aging. Though any process of somatic cell aging basically depends on genomic instructions, phenotypes of aged cells are expressed in a given internal environment of each cell type that was made with translated proteins and post-translationally modified products. Therefore, research on age-dependent protein alterations in each cell type is very important in clarifying mechanisms of aging. The novel term "proteome" is a compound of "protein" and "genome," which means constitutive whole proteins including post-translationally modified products in a cell type. Proteomics is a novel strategy for analyzing proteomes. In proteomics, high resolution two-dimensional electrophoresis is exclusively performed for isolation of proteins followed by mass spectrometry for identification of proteins and determination of modifications. Thus, proteomics is becoming appreciated as a powerful tool to find out proteins responsible for cellular aging, symptoms of senility and geriatric diseases.

Aging↗

Global organellar proteomics.

Cataloging the proteomes of single-celled microorganisms, cells, biological fluids, tissue and whole organisms is being undertaken at a rapid pace as advances are made in protein and peptide separation, detection and identification. For metazoans, subcellular organelles represent attractive targets for global proteome analysis because they represent discrete functional units, their complexity in protein composition is reduced relative to whole cells and, when abundant cytoskeletal proteins are removed, lower abundance proteins specific to the organelle are revealed. Here, we review recent literature on the global analysis of subcellular organelles and briefly discuss how that information is being used to elucidate basic biological processes that range from cellular signaling pathways through protein-protein interactions to differential expression of proteins in response to external stimuli. We assess the relative merits of the different methods used and discuss issues and future directions in the field.

Amino Acid Sequence↗

Llama-derived phage display antibodies in the dissection of the human disease oculopharyngeal muscular dystrophy.

Functional analysis of the estimated 30,000 genes of the human genome requires fast and reliable high-throughput methods to study spatio-temporal protein dynamics. To explore the suitability of heavy-chain antibodies (HCAbs) for studying mechanisms underlying human disease, we used oculopharyngeal muscular dystrophy (OPMD) as a paradigm for the expanding group of protein aggregation disorders that is characterized by subcellular dislocalization and aggregation of mutant protein. OPMD is caused by a moderate alanine expansion in the poly-A binding protein nuclear 1 (PABPN1) and is associated with intranuclear PABPN1 deposition exclusively in muscle. An experimental approach was designed in which the primary sequence of the PABPN1 gene was employed for generating a prokaryotic expression construct that permitted its expression in the host Escherichia coli. The purified product was used for immunization of a llama as well as for the selection of an antigen-specific antibody fragment from the derived phage display library. This single-domain antibody was able to recognize the native gene product in mammalian cell lines and in human muscle tissue by immunocytochemical, immunohistochemical and immunoblot analysis. Our results suggest that phage display derived heavy-chain antibodies can be used in proteomics to study the localization and function of hypothetical gene products, relevant to human disease.

Amino Acid Sequence↗

A reference map of a human pituitary adenoma proteome.

In order to compare the proteomes from different cell types of pituitary adenomas for our long-term goal to clarify the molecular mechanisms that participate in the formation of pituitary adenoma, and to detect any tumor-related marker for an "early-stage" diagnosis, the two-dimensional gel electrophoresis (2-DE) reference map of a pituitary adenoma tissue proteome is described here. A vertical, two-dimensional (2-D) polyacrylamide gel electrophoresis system and PDQuest image analysis software have been used to provide a high level of between-gel reproducibility and to accurately array each protein expressed in a pituitary adenoma tissue. Mass spectrometry (matrix-assisted laser desorption/ionization-time of flight MALDI-TOF and liquid chromatography-electrospray ionization-quadrupole-ion trap LC-ESI-Q-IT) and protein databases were used to characterize each protein in the 2-D gel. The results demonstrate that a good reproducibility of the 2-D gel pattern was attained. The position deviation of matched spots among four 2-D gels was 1.95 +/- 0.45 mm in the isoelectric focusing direction, and 1.70 +/- 0.53 mm in the sodium dodecyl sulfate-polyacrylamide gel electrophoresis direction. A total of ca. 1000 protein spots were separated by 2-DE, and 135 protein spots that represent 111 proteins were characterized with mass spectrometry (96 spots for MALDI-TOF, 39 spots for LC-ESI-Q-IT). The characterized proteins include pituitary hormones, cellular signals, enzymes, cellular-defense proteins, cell-structure proteins, transport proteins, etc. Those proteins were located in the cytoplasmic, cellular membrane, mitochondrial, endoplasmic reticulum, nuclear, ribonucleosome, extracellular fractions, or were secreted in plasma, etc. Those identified proteins contribute to a functional profile of the pituitary adenoma proteome. These data will be used to expand the proteome database of the human pituitary, which can be accessed in the website http://www.utmem.edu /proteomics.

Adenoma↗

Metabonomics: its potential as a tool in toxicology for safety assessment and data integration.

The functional genomic techniques of transcriptomics and proteomics promise unparalleled global information during the drug development process. However, if these technologies are used in isolation the large multivariate data sets produced are often difficult to interpret, and have the potential of missing key metabolic events (e.g. as a result of experimental noise in the system). To better understand the significance of these megavariate data the temporal changes in phenotype must be described. High resolution 1H NMR spectroscopy used in conjunction with pattern recognition provides one such tool for defining the dynamic phenotype of a cell, organ or organism in terms of a metabolic phenotype. In this review the benefits of this metabonomics/metabolomics approach to problems in toxicology will be discussed. One of the major benefits of this approach is its high throughput nature and cost effectiveness on a per sample basis. Using such a method the consortium for metabonomic toxicology (COMET) are currently investigating approximately 150 model liver and kidney toxins. This investigation will allow the generation of expert systems where liver and kidney toxicity can be predicted for model drug compounds, providing a new research tool in the field of drug metabolism. The review will also include how metabonomics may be used to investigate co-responses with transcripts and proteins involved in metabolism and stress responses, such as during drug induced fatty liver disease. By using data integration to combine metabolite analysis and gene expression profiling key perturbed metabolic pathways can be identified and used as a tool to investigate drug function.

Animals↗

Top-down proteomic analysis of the soluble sub-proteome of the obligate thermophile, Geobacillus thermoleovorans T80: insights into its cellular processes.

We report the first analysis of the soluble sub-proteome of the obligate thermophile, Geobacillus thermoleovorans T80, utilizing a robust multidimensional protein identification protocol. A total of 1,336 proteins were initially identified utilizing automated MS/MS identification software. Intensive manual curation resulted in a final list containing a total of 294 unique proteins. Physiochemical characterization and functional classification of the soluble sub-proteome was carried out. The strategy has allowed us to gain an insight into the cellular processes of this obligate thermophile, identifying a variety of proteins known to play a role in stress response. Included within these were a number of sigma factors such as sigma(A) that initiate transcription of the heat shock operons controlled by the HrcA-CIRCE complex within gram positive bacteria. In addition, it has enabled us to assign a degree of functionality to 29 out of 36 gene products detected in this study that were hitherto described as being only hypothetical conserved proteins.

Bacillaceae↗

Applying proteomics in clinical trials: assessing the potential and practical limitations in ovarian cancer.

Ovarian cancer is the leading cause of death from gynecologic malignancies among American women and the fourth most frequent cause of death from cancer in women in Europe and the US. Despite appropriate surgical and chemotherapeutic intervention, the 5-year survival in patients with metastatic cancer remains poor. Currently available screening methods, including CA125, additional biomarkers, and transvaginal ultrasound lack the necessary sensitivity and specificity to provide accurate and cost-efficient screening for the general population or the ability to assess who will benefit most from each treatment. These limitations have prompted the study of proteomic technology and its application in ovarian cancer diagnostics. Proteomics is the study of molecules in the functional protein pathways of normal or diseased states. Clinical trials are currently being conducted to assess the sensitivity and specificity of serum proteomic patterns and additional clinical trials are designed to evaluate the effects of molecularly targeted agents on protein signaling pathways in human subjects. Overcoming both scientific and practical limitations will lead to increased knowledge of deranged protein networks in cancer cells. Clinical trials in proteomics may result in improved early detection, better monitoring, new drugs and molecularly targeted therapeutics, and individualized therapies.

Biomarkers, Tumor↗

Mass spectrometry allows direct identification of proteins in large genomes.

Proteome projects seek to provide systematic functional analysis of the genes uncovered by genome sequencing initiatives. Mass spectrometric protein identification is a key requirement in these studies but to date, database searching tools rely on the availability of protein sequences derived from full length cDNA, expressed sequence tags or predicted open reading frames (ORFs) from genomic sequences. We demonstrate here that proteins can be identified directly in large genomic databases using peptide sequence tags obtained by tandem mass spectrometry. On the background of vast amounts of noncoding DNA sequence, identified peptides localize coding sequences (exons) in a confined region of the genome, which contains the cognate gene. The approach does not require prior information about putative ORFs as predicted by computerized gene finding algorithms. The method scales to the complete human genome and allows identification, mapping, cloning and assistance in gene prediction of any protein for which minimal mass spectrometric information can be obtained. Several novel proteins from Arabidopsis thaliana and human have been discovered in this way.

Amino Acid Sequence↗

Intrinsic unstructuredness and abundance of PEST motifs in eukaryotic proteomes.

The study of unfolded protein regions has gained importance because of their prevalence and important roles in various cellular functions. These regions have characteristically high net charge and low hydrophobicity. The amino acid sequence determines the intrinsic unstructuredness of a region and, therefore, efforts are ongoing to delineate the sequence motifs, which might contribute to protein disorder. We find that PEST motifs are enriched in the characterized disordered regions as compared with globular ones. Analysis of representative PDB chains revealed very few structures containing PEST sequences and the majority of them lacked regular secondary structure. A proteome-wide study in completely sequenced eukaryotes with predicted unfolded and folded proteins shows that PEST proteins make up a large fraction of unfolded dataset as compared with the folded proteins. Our data also reveal the prevalence of PEST proteins in eukaryotic proteomes (approximately 25%). Functional classification of the PEST-containing proteins shows an over- and under-representation in proteins involved in regulation and metabolism, respectively. Furthermore, our analysis shows that predicted PEST regions do not exhibit any preference to be localized in the C terminals of proteins, as reported earlier.

Amino Acid Sequence↗

Quantitative proteomic analysis of the budding yeast cell cycle using acid-cleavable isotope-coded affinity tag reagents.

Quantitative profiling of proteins, the direct effectors of nearly all biological functions, will undoubtedly complement technologies for the measurement of mRNA. Systematic proteomic measurement of the cell cycle is now possible by using stable isotopic labeling with isotope-coded affinity tag reagents and software tools for high-throughput analysis of LC-MS/MS data. We provide here the first such study achieving quantitative, global proteomic measurement of a time-course gene expression experiment in a model eukaryote, the budding yeast Saccharomyces cerevisiae, during the cell cycle. We sampled 48% of all predicted ORFs, and provide the data, including identifications, quantitations, and statistical measures of certainty, to the community in a sortable matrix. We do not detect significant concordance in the dynamics of the system over the time-course tested between our proteomic measurements and microarray measures collected from similarly treated yeast cultures. Our proteomic dataset therefore provides a necessary and complementary measure of eukaryotic gene expression, establishes a rich database for the functional analysis of S. cerevisiae proteins, and will enable further development of technologies for global proteomic analysis of higher eukaryotes.

Carbon Isotopes↗

AgBase: a functional genomics resource for agriculture.

BACKGROUND: Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. Moreover, many agricultural microorganisms are human zoonoses. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. DESCRIPTION: To facilitate systems biology in these traditionally agricultural species we have established "AgBase", a curated, web-accessible, public resource http://www.agbase.msstate.edu for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature following the Human Genome Organization Gene Nomenclature guidelines and are currently functionally annotating chicken, cow and sheep gene products using the Gene Ontology (GO). The computational tools we have developed accept and batch process data derived from different public databases (with different accession codes), return all existing GO annotations, provide a list of products without GO annotation, identify potential orthologs, model functional genomics data using GO and assist proteomics analysis of ESTs and EST assemblies. Our journal database helps prevent redundant manual GO curation. We encourage and publicly acknowledge GO annotations from researchers and provide a service for researchers interested in GO and analysis of functional genomics data. CONCLUSION: The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens. We use experimental data to improve structural annotation of genomes and to functionally characterize gene products. AgBase is also directly relevant for researchers in fields as diverse as agricultural production, cancer biology, biopharmaceuticals, human health and evolutionary biology. Moreover, the experimental methods and bioinformatics tools we provide are widely applicable to many other species including model organisms.

Agriculture↗

Proteomic and biochemical analyses of human B cell-derived exosomes. Potential implications for their function and multivesicular body formation.

Exosomes are 60-100-nm membrane vesicles that are secreted into the extracellular milieu as a consequence of multivesicular body fusion with the plasma membrane. Here we determined the protein and lipid compositions of highly purified human B cell-derived exosomes. Mass spectrometric analysis indicated the abundant presence of major histocompatibility complex (MHC) class I and class II, heat shock cognate 70, heat shock protein 90, integrin alpha 4, CD45, moesin, tubulin (alpha and beta), actin, G(i)alpha(2), and a multitude of other proteins. An alpha 4-integrin may direct B cell-derived exosomes to follicular dendritic cells, which were described previously as potential target cells. Clathrin, heat shock cognate 70, and heat shock protein 90 may be involved in protein sorting at multivesicular bodies. Exosomes were also enriched in cholesterol, sphingomyelin, and ganglioside GM3, lipids that are typically enriched in detergent-resistant membranes. Most exosome-associated proteins, including MHC class II and tetraspanins, were insoluble in 3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonic acid (CHAPS)-containing buffers. Multivesicular body-linked MHC class II was also resistant to CHAPS whereas plasma membrane-associated MHC class II was solubilized readily. Together, these data suggest that recruitment of membrane proteins from the limiting membranes into the internal vesicles of multivesicular bodies may involve their incorporation into tetraspanin-containing detergent-resistant membrane domains.

B-Lymphocytes↗

Chromatographic separations as a prelude to two-dimensional electrophoresis in proteomics analysis.

Current methods of proteome analysis rely almost solely on two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) followed by the excision of individual spots and protein identification using mass spectrometry (MS) and database searching. 2-D PAGE is denaturing in both dimensions and, thus, cannot indicate functional associations between individual proteins. Moreover, less abundant proteins are difficult to identify. To simplify the proteome, and explore functional associations, nondenaturing anion exchange column chromatography was used to separate a soluble protein extract from Escherichia coli. Successive fractions were then analysed using 2-D PAGE and selected spots from both the gels for the start material and the fractionated material were quantified and identified by peptide mass fingerprinting using a MALDI-TOF mass spectrometer. Enrichments of up to 13-fold were attained for individual protein spots and peptide mass fingerprints were of significantly higher quality after chromatographic separation. The marked anomalies between predicted p/and column elution position contrasted with the almost perfect correlation with migration distance on isoelectric focusing (IEF) and were explored further for basic proteins.

Chromatography, Ion Exchange↗