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PubMed2005

Phage display and PEGylation of therapeutic proteins.

With the success of the human genome project, the focus of life science research has shifted to the functional and structural analyses of proteins, such as disease proteomics and structural genomics. These novel approaches to the analyses of proteins, including newly identified ones, are expected to help in the identification and development of protein therapies for various diseases. Thus, disease proteomic-based drug discovery has a very high profile. Nevertheless, the use of bioactive proteins in the clinical setting is not straightforward because, in vivo, these proteins have a low stability and a pleiotropic action. To promote disease proteomic-based drug discovery and development, we have attempted to establish a system for creating functional mutant proteins (muteins) with the desired properties, and also to develop a site-specific polymer-conjugation system for further improving their therapeutic potency. These innovative protein-drug systems are discussed in this review.

Animals↗
PubMed2000

Quantitative proteome analysis: methods and applications.

With the completion of a rapidly increasing number of complete genomic sequences, much attention is currently focused on how the information contained in sequence databases might be interpreted in terms of the structure, function, and control of biological systems. Quantitative proteome analysis, the global analysis of protein expression, has been proposed as a method to study steady-state gene expression and perturbation-induced changes. Here, we discuss the rationale for quantitative proteome analysis, highlight the limitations in the current standard technology, and introduce a new experimental approach to quantitative proteome analysis.

Amino Acid Sequence↗
PubMed2003

Mouse proteome analysis.

A general overview of the protein sequence set for the mouse transcriptome produced during the FANTOM2 sequencing project is presented here. We applied different algorithms to characterize protein sequences derived from a nonredundant representative protein set (RPS) and a variant protein set (VPS) of the mouse transcriptome. The functional characterization and assignment of Gene Ontology terms was done by analysis of the proteome using InterPro. The Superfamily database analyses gave a detailed structural classification according to SCOP and provide additional evidence for the functional characterization of the proteome data. The MDS database analysis revealed new domains which are not presented in existing protein domain databases. Thus the transcriptome gives us a unique source of data for the detection of new functional groups. The data obtained for the RPS and VPS sets facilitated the comparison of different patterns of protein expression. A comparison of other existing mouse and human protein sequence sets (e.g., the International Protein Index) demonstrates the common patterns in mammalian proteomes. The analysis of the membrane organization within the transcriptome of multiple eukaryotes provides valuable statistics about the distribution of secretory and transmembrane proteins

Animals↗
PubMed2006

A proteomic approach for dissecting H-Ras signaling networks in NIH/3T3 mouse embryonic fibroblast cells.

To elucidate an understanding into H-Ras protein network, we have established various oncogene H-Ras-expressing NIH/3T3 mouse embryonic fibroblast cell clones, which are expressing G12V H-Ras, G12R H-Ras, and G12V/T35S H-Ras proteins under the tight control of expression by an antibiotic doxycycline. Here we provide a catalog of proteome profiles in total cell lysate derived from the oncogenic and partial loss of function H-Ras-expressing NIH/3T3 cells. In this biological context, we compared total proteome changes by the combined methods of 2-DE, quantitative image analysis and MALDI-TOF-MS analysis both commonly in oncogenic and partial loss of function H-Ras expression system. Thus, we tried to dissect H-Ras signaling pathway, especially a downstream effector molecule, Raf in NIH/3T3 cells using proteomics tools. In this study, we centralized upon the proteome profile changes as common targets for oncogenic H-Ras and a partial loss of function H-Ras in the H-Ras-expressing cells. Thirteen protein spots were selected as what the staining intensities on the gels for 2-DE images from both kinds of cells were consistently changed in their protein expression level. Differentially regulated expression was further confirmed for some subsets of candidates by semiquantitative RT-PCR and Western blot analysis using specific antibodies. Taken together, our results obtained and present here show that the comparative analysis of proteome from oncogenic and partial loss of function H-Ras-expressing cells has yielded interpretable data to elucidate the protein network directly and/or indirectly.

Animals↗
PubMed2003

Global protein function prediction from protein-protein interaction networks.

Determining protein function is one of the most challenging problems of the post-genomic era. The availability of entire genome sequences and of high-throughput capabilities to determine gene coexpression patterns has shifted the research focus from the study of single proteins or small complexes to that of the entire proteome. In this context, the search for reliable methods for assigning protein function is of primary importance. There are various approaches available for deducing the function of proteins of unknown function using information derived from sequence similarity or clustering patterns of co-regulated genes, phylogenetic profiles, protein-protein interactions (refs. 5-8 and Samanta, M.P. and Liang, S., unpublished data), and protein complexes. Here we propose the assignment of proteins to functional classes on the basis of their network of physical interactions as determined by minimizing the number of protein interactions among different functional categories. Function assignment is proteome-wide and is determined by the global connectivity pattern of the protein network. The approach results in multiple functional assignments, a consequence of the existence of multiple equivalent solutions. We apply the method to analyze the yeast Saccharomyces cerevisiae protein-protein interaction network. The robustness of the approach is tested in a system containing a high percentage of unclassified proteins and also in cases of deletion and insertion of specific protein interactions.

Algorithms↗
PubMed2004

Screening for disease-markers and investigating drug effects by proteome profiling: can it meet expectations?

Drugs exert their functions mainly by affecting proteins. Therefore, it seems straightforward to focus on proteins in order to investigate drug effects. Unfortunately, proteins are of very high complexity, rendering it much more difficult to screen for protein alterations as compared to gene regulation. However, the efficiency and applicability of proteome analysis has been dramatically increased recently. We are on the way to be able to comprehensively assess disease-related proteome alterations, which may become an essential source of information for knowledge-based drug design. This review will provide an overview of current techniques in proteome analysis, focusing on screening technologies for biomedical research. An outlook at the future potential of proteomics supported by modern bioinformatics will highlight why proteomics is worth the effort.

Amino Acid Sequence↗
PubMed2004

An object model and database for functional genomics.

MOTIVATION: Large-scale functional genomics analysis is now feasible and presents significant challenges in data analysis, storage and querying. Data standards are required to enable the development of public data repositories and to improve data sharing. There is an established data format for microarrays (microarray gene expression markup language, MAGE-ML) and a draft standard for proteomics (PEDRo). We believe that all types of functional genomics experiments should be annotated in a consistent manner, and we hope to open up new ways of comparing multiple datasets used in functional genomics. RESULTS: We have created a functional genomics experiment object model (FGE-OM), developed from the microarray model, MAGE-OM and two models for proteomics, PEDRo and our own model (Gla-PSI-Glasgow Proposal for the Proteomics Standards Initiative). FGE-OM comprises three namespaces representing (i) the parts of the model common to all functional genomics experiments; (ii) microarray-specific components; and (iii) proteomics-specific components. We believe that FGE-OM should initiate discussion about the contents and structure of the next version of MAGE and the future of proteomics standards. A prototype database called RNA And Protein Abundance Database (RAPAD), based on FGE-OM, has been implemented and populated with data from microbial pathogenesis. AVAILABILITY: FGE-OM and the RAPAD schema are available from http://www.gusdb.org/fge.html, along with a set of more detailed diagrams. RAPAD can be accessed by registration at the site.

Abstracting and Indexing↗
PubMed2006

Proteomic identification of a stress protein, mortalin/mthsp70/GRP75: relevance to Parkinson disease.

Functional impairment of mitochondria and proteasomes and increased oxidative damage comprise the main pathological phenotypes of Parkinson disease (PD). Using an unbiased quantitative proteomic approach, we compared nigral mitochondrial proteins of PD patients with those from age-matched controls. 119 of 842 identified proteins displayed significant differences in their relative abundance (increase/decrease) between the two groups. We confirmed that one of these, mortalin (mthsp70/GRP75, a mitochondrial stress protein), is substantially decreased in PD brains as well as in a cellular model of PD. In addition, nine candidate mortalin-binding partners were identified as potential mediators of PD pathology. Manipulations of mortalin level in dopaminergic neurons resulted in significant changes in sensitivity to PD phenotypes via pathways involving mitochondrial and proteasomal function as well as oxidative stress.

Age Factors↗
PubMed2004

Convenient and versatile subcellular extraction procedure, that facilitates classical protein expression profiling and functional protein analysis.

Standardized sample preparation to reduce proteome complexity facilitates subsequent proteome analysis. Here we describe a robust sequential extraction method that enables simple fractionation of proteins in their native state according to their subcellular localization, yielding four subproteomes enriched in (a) cytosolic; (b) membrane and membrane organelle-localized; (c) soluble and DNA-associated nuclear and (d) cytoskeletal proteins. Efficiency and selectivity is demonstrated by morphological-, two-dimensional electrophoresis image-, immunological- as well as enzymatic-analysis. In pilot studies, subcellular redistribution of regulatory proteins was successfully measured.

Blotting, Western↗
PubMed2006

Proteomic profiling of regionalized proteins in rat epididymis indicates consistency between specialized distribution and protein functions.

The epididymis is a key structure of the male reproductive system; its function is to mature, transport, and store sperm. Most of the research examining the epididymis to date has been limited to the study of the secreted proteins involved in the maturation of spermatozoa. However, it is also very important to understand the protein components, regulation and function of the tissue itself since these are the basis for all of its physiological processes. We investigated the differential expression of proteins among the caput, corpus, and cauda regions of rat epididymis and considered the possible links between the localization of these proteins and the different functions of these epididymal regions. High-resolution 2-D gel electrophoresis followed by mass spectrometry (MS) revealed 28 distinct proteins whose expression levels varied from the caput to the cauda epididymis. Sixteen of them were reported for first time to be expressed in the epididymis. Expression patterns of some proteins were validated by Northern blot or Western blot. Immunohistochemistry revealed that inducible carbonyl reductase (iCR), an important enzyme in the anti-oxidative system, exhibits primary and cell-type specific distribution in the distal cauda region. Moreover, analysis of iCR transcription in castrated animals showed that its expression is androgen-dependent. Together with its known functions, iCR may also be involved in androgen metabolism and maintaining a steady microenvironment in the duct of epididymis.

Alcohol Oxidoreductases↗
PubMed2005

A two-dimensional electrophoresis proteomic reference map and systematic identification of 1367 proteins from a cell suspension culture of the model legume Medicago truncatula.

The proteome of a Medicago truncatula cell suspension culture was analyzed using two-dimensional electrophoresis and nanoscale HPLC coupled to a tandem Q-TOF mass spectrometer (QSTAR Pulsar i) to yield an extensive protein reference map. Coomassie Brilliant Blue R-250 was used to visualize more than 1661 proteins, which were excised, subjected to in-gel trypsin digestion, and analyzed using nanoscale HPLC/MS/MS. The resulting spectral data were queried against a custom legume protein database using the MASCOT search engine. A total of 1367 of the 1661 proteins were identified with high rigor, yielding an identification success rate of 83% and 907 unique protein accession numbers. Functional annotation of the M. truncatula suspension cell proteins revealed a complete tricarboxylic acid cycle, a nearly complete glycolytic pathway, a significant portion of the ubiquitin pathway with the associated proteolytic and regulatory complexes, and many enzymes involved in secondary metabolism such as flavonoid/isoflavonoid, chalcone, and lignin biosynthesis. Proteins were also identified from most other functional classes including primary metabolism, energy production, disease/defense, protein destination/storage, protein synthesis, transcription, cell growth/division, and signal transduction. This work represents the most extensive proteomic description of M. truncatula suspension cells to date and provides a reference map for future comparative proteomic and functional genomic studies of the response of these cells to biotic and abiotic stress.

Amino Acid Sequence↗
PubMed2004

Cell biology, chemogenomics and chemoproteomics.

The scientific techniques used in molecular biological research and drug discovery have changed dramatically over the past 10 years due to the influence of genomics, proteomics and bioinformatics. Furthermore, genomics and functional genomics are now merging into a new scientific approach called chemogenomics. Advancements in the study of molecular cell biology are dependent upon "omics" researchers realizing the importance of and using the experimental tools currently available to cell biologists. For example, novel microscopic techniques utilizing advanced computer imaging allow for the examination of live specimens in a fourth dimension, viz., time. Yet, molecular biologists have not taken full advantage of these and other traditional and novel cell biology techniques for the further advancement of genomic and proteomic-oriented research. The application of traditional and novel cellular biological techniques will enhance the science of genomics. The authors hypothesize that a stronger interdisciplinary approach must be taken between cell biology (and its closely related fields) and genomics, proteomics and bio-chemoinformatics. Since there is a lot of confusion regarding many of the "omics" definitions, this article also clarifies some of the basic terminology used in genomics, and related fields. It also reviews the current status and future potential of chemogenomics and its relationship to cell biology. The authors also discuss and expand upon the differences between chemogenomics and the relatively new term--chemoproteomics. We conclude that the advances in cell biology methods and approaches and their adoption by "omics" researchers will allow scientists to maximize our knowledge about life.

Biology↗
PubMed2003

Lipidomic processes in homeostatic and LPS-modified cell renewal cycle. Role of phosphatidylinositol 3-kinase pathway in biomembrane synthesis and restitution of apical epithelial membrane.

BACKGROUND: Nuclear transcriptome initiates specific proteome that facilitates metabolic events culminating in restitution of cell components and reproduction of the discrete cellular function, but the magnitude of various genes induction and following proteomic, lipidomic, and glycomic processes provide distinctness to the final product and its function. In homeostasis, the challenged cell responds to stimuli in defined and predictable mode but in the disease such as ulcerative erosions the ablation of cell survival signals and cell apoptosis is enhanced. Therefore, to uncover the discreteness and dissimilarity of the pathological processes induced by elicobacter pylori (H. pylori) lipopolysaccharide (LPS), not only measurement of the genomic events is crucial, but a complete cycle of events reproducing the cell specific proteins, lipids, and cell-specific environment created in situ require thorough investigation. METHODS: An impact of H. pylori LPS-induced processes on posttranslational lipidomic activity in endoplasmic reticulum (ER), Golgi and apical membrane was evaluated in the in vitro paradigm assembled with components of the rat gastric mucosal epithelial cells. RESULTS: In ER, the signals commanding synthesis of biomembrane in the presence of control, the LPS-derived or LPS-admixed cytosol was identical. The assembled vesicles contained the same amount of apoprotein and had the same lipid composition. Their biomembrane contained the same amount of sphingolipids in form of ceramide, which is determining factor of the ER-transport vesicle completion. The transport of apoprotein in ER vesicles to Golgi was also not changed. In Golgi, LPS-derived cytosol affected two distinct and concurrent with assembly of Golgi transport vesicles processes. The LPS-derived cytosol affected formation of Golgi transport vesicles destined to apical membrane and the incorporation (fusion) of Golgi vesicles with apical epithelial membrane. The LPS-derived cytosol decreased the production of Golgi vesicles by 15% and their fusion with the apical epithelial membrane by 83%. In contrast with wortmannin, the LPS-derived cytosol had no impact on Golgi transport vesicles association with the epithelial membrane. CONCLUSIONS: We concluded that LPS interferes with MAPK-dependent activation of cytosolic PLA(2) since MAPKs immunoprecipitate added to the LPS-cytosol restored activation of cytosolic PLA(2)-specific fusion of the Golgi transport vesicles with apical mucosal cell membrane. On the other hand, wortmannin that inhibited the association of Golgi transport vesicles with apical membrane, interferes with cytosolic activity that controls association of PI3K-containing Golgi vesicles with the apical membrane. Together, our studies present evidence that allow to conclude that LPS affects MAPK-specific phosphorylation and PLA(2)-assisted membranes' fusion, whereas wortmannin affects association of PI3K- and PI3P-containing Golgi-derived transport vesicles with the membrane. In the final outcome, both actions result in a diminished or inhibited restitution of apical membrane.

Androstadienes↗
PubMed2005

Proteomic analysis of protein components in periodontal ligament fibroblasts.

BACKGROUND: Characterization of periodontal ligament (PDL) fibroblast proteome is an important tool for understanding PDL physiology and regulation and for identifying disease-related protein markers. PDL fibroblast protein expression has been studied using immunological methods, although limited to previously identified proteins for which specific antibodies are available. METHODS: We applied proteomic analysis coupled with mass spectrometry and database knowledge to human PDL fibroblasts. RESULTS: We detected 900 spots and identified 117 protein spots originating in 74 different genes. In addition to scaffold cytoskeletal proteins, e.g., actin, tubulin, and vimentin, we identified proteins implicated with cellular motility and membrane trafficking, chaparonine, stress and folding proteins, metabolic enzymes, proteins associated with detoxification and membrane activity, biodegradative metabolism, translation and transduction, extracellular proteins, and cell cycle regulation proteins. CONCLUSIONS: Most of these identified proteins are closely related to the extensive PDL fibroblasts' functions and homeostasis. Our PDL fibroblast proteome map can serve as a reference map for future clinical studies as well as basic research.

Adolescent↗
PubMed2006

Functional genomics in Dictyostelium: MidA, a new conserved protein, is required for mitochondrial function and development.

Genomic sequencing has revealed a large number of evolutionary conserved genes of unknown function. In the absence of characterized functional domains, the discovery of the role of these genes must rely on experimental approaches. We have selected 30 Dictyostelium discoideum genes of unknown function that showed high similarity to uncharacterized human genes and were absent in the complete proteomes from Saccharomyces cerevisiae and S. pombe. No putative functional motifs were found in their predicted encoded proteins. Eighteen genes were successfully knocked-out and three of them showed obvious phenotypes. A detailed analysis of one of them, midA, is presented in this report. Disruption of midA in Dictyostelium leads to pleiotropic defects. Cell size, growth rate, phagocytosis and macropinocytosis were affected in the mutant. During development, midA- cells showed an enhanced tendency to remain at the slug stage, and spore viability was compromised. The expression of MidA fused to GFP in midA- strain rescued the phenotype and the fused protein was located in the mitochondria. Although cellular oxygen consumption, mitochondrial content and mitochondrial membrane potential were similar to wild type, the amount of ATP was significantly reduced in the mutant suggesting a mitochondrial dysfunction. Metabolomic analysis by natural-abundance 13C-nuclear magnetic resonance has shown the lack of glycogen accumulation during growth. During starvation, mutant cells accumulated higher levels of ammonia, which inhibited normal development. We hypothesize that the lack of MidA reduces mitochondrial ATP synthetic capacity and this has an impact in some but not all energy-dependent cellular processes. This work exemplifies the potential of Dictyostelium as a model system for functional genomic studies.

Amino Acid Sequence↗
PubMed2005

Elucidation of gene-to-gene and metabolite-to-gene networks in arabidopsis by integration of metabolomics and transcriptomics.

Since the completion of genome sequences of model organisms, functional identification of unknown genes has become a principal challenge in biology. Post-genomics sciences such as transcriptomics, proteomics, and metabolomics are expected to discover gene functions. This report outlines the elucidation of gene-to-gene and metabolite-to-gene networks via integration of metabolomics with transcriptomics and presents a strategy for the identification of novel gene functions. Metabolomics and transcriptomics data of Arabidopsis grown under sulfur deficiency were combined and analyzed by batch-learning self-organizing mapping. A group of metabolites/genes regulated by the same mechanism clustered together. The metabolism of glucosinolates was shown to be coordinately regulated. Three uncharacterized putative sulfotransferase genes clustering together with known glucosinolate biosynthesis genes were candidates for involvement in biosynthesis. In vitro enzymatic assays of the recombinant gene products confirmed their functions as desulfoglucosinolate sulfotransferases. Several genes involved in sulfur assimilation clustered with O-acetylserine, which is considered a positive regulator of these genes. The genes involved in anthocyanin biosynthesis clustered with the gene encoding a transcriptional factor that up-regulates specifically anthocyanin biosynthesis genes. These results suggested that regulatory metabolites and transcriptional factor genes can be identified by this approach, based on the assumption that they cluster with the downstream genes they regulate. This strategy is applicable not only to plant but also to other organisms for functional elucidation of unknown genes.

Arabidopsis↗
PubMed2004

Proteome analysis of DNA damage-induced neuronal death using high throughput mass spectrometry.

Isotope-coded affinity tag reagents and high throughput mass spectrometry were used to quantitate changes in the expression of 150 proteins in mouse wild-type (p53(+/+)) cortical neurons undergoing DNA damage-induced death. Immunological techniques confirmed several of the changes in protein expression, but microarray analysis indicated that many of these changes were not accompanied by altered mRNA expression. Proteome analysis revealed perturbations in mitochondrial function, free radical production, and neuritogenesis that were not observed in p53-deficient neurons. Changes in Tau, cofilin, and other proteins recapitulated abnormalities observed in neurodegenerative states in vivo. Additionally, DNA damage caused a p53-dependent decrease in expression of members of the protein kinase A (PKA) signaling pathway. PKA inhibition promoted death in the absence of DNA damage, revealing a novel mechanism by which endogenous down-regulation of PKA signaling may contribute to p53-dependent neuronal death. These data demonstrate the power of high throughput mass spectrometry for quantitative analysis of the neuronal proteome.

Animals↗
PubMed2004

The vegetative vacuole proteome of Arabidopsis thaliana reveals predicted and unexpected proteins.

Vacuoles play central roles in plant growth, development, and stress responses. To better understand vacuole function and biogenesis we have characterized the vegetative vacuolar proteome from Arabidopsis thaliana. Vacuoles were isolated from protoplasts derived from rosette leaf tissue. Total purified vacuolar proteins were then subjected either to multidimensional liquid chromatography/tandem mass spectrometry or to one-dimensional SDS-PAGE coupled with nano-liquid chromatography/tandem mass spectrometry (nano-LC MS/MS). To ensure maximum coverage of the proteome, a tonoplast-enriched fraction was also analyzed separately by one-dimensional SDS-PAGE followed by nano-LC MS/MS. Cumulatively, 402 proteins were identified. The sensitivity of our analyses is indicated by the high coverage of membrane proteins. Eleven of the twelve known vacuolar-ATPase subunits were identified. Here, we present evidence of four tonoplast-localized soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs), representing each of the four groups of SNARE proteins necessary for membrane fusion. In addition, potential cargo of the N- and C-terminal propeptide sorting pathways, association of the vacuole with the cytoskeleton, and the vacuolar localization of 89 proteins of unknown function are identified. A detailed analysis of these proteins and their roles in vacuole function and biogenesis is presented.

Amino Acid Sequence↗