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Functional Annotation (functional + annotation)
Selected AbstractsGenetic changes in the evolution of multidrug resistance for cultured human ovarian cancer cellsGENES, CHROMOSOMES AND CANCER, Issue 12 2007Timon P. H. Buys The multidrug resistant (MDR) phenotype is often attributed to the activity of ATP-binding cassette (ABC) transporters such as P-glycoprotein (ABCB1). Previous work has suggested that modulation of MDR may not necessarily be a single gene trait. To identify factors that contribute to the emergence of MDR, we undertook integrative genomics analysis of the ovarian carcinoma cell line SKOV3 and a series of MDR derivatives of this line (SKVCRs). As resistance increased, comparative analysis of gene expression showed conspicuous activation of a network of genes in addition to ABCB1. Functional annotation and pathway analysis revealed that many of these genes were associated with the extracellular matrix and had previously been implicated in tumor invasion and cell proliferation. Further investigation by whole genome tiling-path array CGH suggested that changes in gene dosage were key to the activation of several of these overexpressed genes. Remarkably, alignment of whole genome profiles for SKVCR lines revealed the emergence and decline of specific segmental DNA alterations. The most prominent alteration was a novel amplicon residing at 16p13 that encompassed the ABC transporter genes ABCC1 and ABCC6. Loss of this amplicon in highly resistant SKVCR lines coincided with the emergence of a different amplicon at 7q21.12, which harbors ABCB1. Integrative analysis suggests that multiple genes are activated during escalation of drug resistance, including a succession of ABC transporter genes and genes that may act synergistically with ABCB1. These results suggest that evolution of the MDR phenotype is a dynamic, multi-genic process in the genomes of cancer cells. © 2007 Wiley-Liss, Inc. [source] Biological indicators of prognosis in Ewing's sarcoma: An emerging role for lectin galactoside-binding soluble 3 binding protein (LGALS3BP)INTERNATIONAL JOURNAL OF CANCER, Issue 1 2010Diana Zambelli Abstract Starting from an experimental model that accounts for the 2 most important adverse processes to successful therapy of Ewing's sarcoma (EWS), chemoresistance and the presence of metastasis at the time of diagnosis, we defined a molecular signature of potential prognostic value. Functional annotation of differentially regulated genes revealed 3 major networks related to cell cycle, cell-to-cell interactions and cellular development. The prognostic impact of 8 genes, representative of these 3 networks, was validated in 56 EWS patients. High mRNA expression levels of HINT1, IFITM2, LGALS3BP, STOML2 and c-MYC were associated with reduced risk to death and lower risk to develop metastasis. At multivariate analysis, LGALS3BP, a matricellular protein with a role in tumor progression and metastasis, was the most important predictor of event-free survival and overall survival. The association between LGALS3BP and prognosis was confirmed at protein level, when expression of the molecule was determined in tumor tissues but not in serum, indicating a role for the protein at local tumor microenvironment. Engineered enhancement of LGALS3BP expression in EWS cells resulted in inhibition of anchorage independent cell growth and reduction of cell migration and metastasis. Silencing of LGALS3BP expression reverted cell behavior with respect to in vitro parameters, thus providing further functional validation of genetic data obtained in clinical samples. Thus, we propose LGALS3BP as a novel reliable indicator of prognosis, and we offer genetic signatures to the scientific communities for cross-validation and meta-analysis, which are indispensable tools for a rare tumor such as EWS. [source] Access to immunology through the Gene OntologyIMMUNOLOGY, Issue 2 2008Ruth C. Lovering Summary The Gene Ontology (GO) is widely recognized as the premier tool for the organization and functional annotation of molecular aspects of cellular systems. However, for many immunologists the use of GO is a very foreign concept. Indeed, as a controlled vocabulary, GO can almost be considered a new language, and it can be difficult to appreciate the use and value of this approach for understanding the immune system. This review reflects on the application of GO to the field of immunology and explains the process of GO annotation. Finally, this review hopes to inspire immunologists to invest time and energy in improving both the content of the GO and the quality of GO annotations associated with genes of immunological interest. [source] Lipolytic and esterolytic activity-based profiling of murine liverPROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 17 2008Ruth Birner-Gruenberger Abstract In lipid metabolism, the liver acts as a buffer for transient energy fluctuations. It temporarily stores fatty acids as triacylglycerol and secretes them as very low density lipoprotein into the circulation when the period of maximum lipid load has passed. The lipolytic enzymes responsible for mobilization of internal lipid stores in the liver have not been identified yet. We introduced active site-directed chemical probes for lipolytic activity profiling in complex mixtures, known as activity-based proteomics, and employed it for global analysis and functional annotation of lipolytic proteins in mouse adipose tissue. Here we report the combined application of two approaches using fluorescent and biotinylated probes for discovery and discrimination of lipolytic and esterolytic enzymes in mouse liver subproteomes. Proteomes labeled with the fluorescent probes were analyzed by 2-DE while proteomes labeled with the biotinylated probe were subjected to avidin-affinity isolation. Of 37 totally identified proteins, 15 were detected using both approaches while 14 and 8 were solely identified by 2-DE and avidin-affinity isolation, respectively. Moreover, 12 enzymes were classified as potential lipases and/or cholesteryl esterases by their reaction with probes specific for the respective activities directly in their proteomes. [source] The effect of low pH on protein expression by the probiotic bacterium Lactobacillus reuteriPROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 8 2008KiBeom Lee Dr. Abstract The ability of a lactic acid bacterium to survive passage through the gastrointestinal tract is a key point in its function as a probiotic. In this study, protein synthesis by the probiotic bacterium, Lactobacillus reuteri, was analyzed under transiently decreased pH conditions. L. reuteri cells grown to the midexponential growth phase at 37°C were exposed to transient (1,h) low-pH stresses from pH,6.8 to pH,5.0, 4.5, or 4.0. 2-DE allowed us to identify 40 common proteins that were consistently and significantly altered under all three low-pH conditions. PMF was used to identify these 40 proteins, and functional annotation allowed them to be distributed to six major classes: (i) transport and binding proteins; (ii) transcription,translation; (iii) nucleotide metabolism and amino acid biosynthesis; (iv) carbon energy metabolism; (v) pH homeostasis and stress; and (vi) unassigned. These findings provide new insight into the inducible mechanisms underlying the capacity of gastrointestinal L. reuteri to tolerate acid stress. [source] Plasma Proteome Database as a resource for proteomics researchPROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 13 2005Babylakshmi Muthusamy Abstract Plasma is one of the best studied compartments in the human body and serves as an ideal body fluid for the diagnosis of diseases. This report provides a detailed functional annotation of all the plasma proteins identified to date. In all, gene products encoded by 3778,distinct genes were annotated based on proteins previously published in the literature as plasma proteins and the identification of multiple peptides from proteins under HUPO's Plasma Proteome Project. Our analysis revealed that 51% of these genes encoded more than one protein isoform. All single nucleotide polymorphisms involving protein-coding regions were mapped onto the protein sequences. We found a number of examples of isoform-specific subcellular localization as well as tissue expression. This database is an attempt at comprehensive annotation of a complex subproteome and is available on the web at http://www.plasmaproteomedatabase.org. [source] Strong associations between gene function and codon usageAPMIS, Issue 9 2003ANDERS FUGLSANG The association between codon usage and gene function was analyzed in the complete genomes of Eschericia coli, Bacillus subtilis, Lactococcus lactis and Campylobacter jejuni, using the functional annotation provided by NCBI. Two distinctly different ways of quantifying codon usage were used in the analysis. By using contingency tables it was found that for most amino acids a highly significant association with gene function exists for all species, indicating that codon usage at the level of individual amino acids is generally closely coordinated with gene function. By computing the effective number of codons in the annotated genes and comparing the median values in groups of different gene functions it was shown for all species that codon bias gene by gene also differs. [source] Use of gene transfer technology for functional studies in grapevineAUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH, Issue 2010J.R. VIDAL Abstract The understanding of the genetic determinism of plant phenotypes requires the functional annotation of genes governing specific traits including the characterisation of their regulatory networks. A striking feature of the grapevine genome and proteome lies in the existence of large families related to wine attributes that have a higher gene copy number than in other sequenced plants. During speciation, the appearance of new adaptive functions is often based on the evolution of orthologous genes eventually associated with duplication (paralogous sequences) leading to new proteins and expression profiles. The presence of original features in grapevine, including perennial status, vegetative architecture, inflorescence/tendril, flower organisation (corolla), and fleshy fruit of considerable acidity with various flavonoid compounds, makes functional genomics an essential approach to link a gene to a trait. For grapevine, the current lack of high throughput genetic techniques (e.g. induced mutant collections) and the difficulties associated with genetic mapping (allele diversity, chimerism, generation time) highlights the critical role of transgenic technology for characterising gene function. Different techniques are available to obtain information about gene functioning, but the choice of a particular approach depends on the process investigated (e.g. metabolism, developmental, pathogen response) and the experimental purpose (e.g. induction of ectopic functions, promoter studies, subcellular localisation). After a brief overview of the development of grapevine biotechnology, this paper reviews the state-of-the-art gene transfer technology for grapevine and detailed examples of where transgenic technology has proven useful for studying gene function. [source] Transient Peripheral Immune Response and Central Nervous System Leaky Compartmentalization in a Viral Model for Multiple SclerosisBRAIN PATHOLOGY, Issue 5 2010María José Navarrete-Talloni Abstract Theiler's virus-induced demyelination represents an important animal model to study the chronic-progressive form of multiple sclerosis (MS). The aim of the present study was to identify specific genes and pathways in the deep cervical lymph node (cLN) and spleen of experimentally infected SJL-mice, using DNA microarrays. Analyses identified 387 genes in the deep cLN and only 6 genes in the spleen of infected animals. The lymph node presented 27.4% of genes with fold changes ±1.5 at 14 days post infection (dpi) and a reduced transcription at later time points. K- means clustering analyses resulted in five clusters. Accordingly, functional annotation revealed that the B-cell immune response pathway was the most up-regulated cluster at the early phase. Additionally, an increase of CD68- and lysozyme-positive cells in the deep cLN was observed by immunohistochemistry. Polioencephalitis was most intense at 14 dpi, and the spinal cord demyelinating leukomyelitis started at 42 dpi. In summary, early gene expression is indicative of virus-trigged immune responses in the central nervous system (CNS)-draining lymph node. The decreased gene transcription in the deep cLN during the chronic phase and the low number of spleen genes supports the hypothesis of a compartmentalized inflammation within the CNS, as described in progressive MS. [source] Incorporating gene functional annotations in detecting differential gene expressionJOURNAL OF THE ROYAL STATISTICAL SOCIETY: SERIES C (APPLIED STATISTICS), Issue 3 2006Wei Pan Summary., The importance of incorporating existing biological knowledge, such as gene functional annotations in gene ontology, in analysing high throughput genomic and proteomic data is being increasingly recognized. In the context of detecting differential gene expression, however, the current practice of using gene annotations is limited primarily to validations. Here we take a direct approach to incorporating gene annotations into mixture models for analysis. First, in contrast with a standard mixture model assuming that each gene of the genome has the same distribution, we study stratified mixture models allowing genes with different annotations to have different distributions, such as prior probabilities. Second, rather than treating parameters in stratified mixture models independently, we propose a hierarchical model to take advantage of the hierarchical structure of most gene annotation systems, such as gene ontology. We consider a simplified implementation for the proof of concept. An application to a mouse microarray data set and a simulation study demonstrate the improvement of the two new approaches over the standard mixture model. [source] Fast and automated functional classification with MED-SuMo: An application on purine-binding proteinsPROTEIN SCIENCE, Issue 4 2010Olivia Doppelt-Azeroual Abstract Ligand,protein interactions are essential for biological processes, and precise characterization of protein binding sites is crucial to understand protein functions. MED-SuMo is a powerful technology to localize similar local regions on protein surfaces. Its heuristic is based on a 3D representation of macromolecules using specific surface chemical features associating chemical characteristics with geometrical properties. MED-SMA is an automated and fast method to classify binding sites. It is based on MED-SuMo technology, which builds a similarity graph, and it uses the Markov Clustering algorithm. Purine binding sites are well studied as drug targets. Here, purine binding sites of the Protein DataBank (PDB) are classified. Proteins potentially inhibited or activated through the same mechanism are gathered. Results are analyzed according to PROSITE annotations and to carefully refined functional annotations extracted from the PDB. As expected, binding sites associated with related mechanisms are gathered, for example, the Small GTPases. Nevertheless, protein kinases from different Kinome families are also found together, for example, Aurora-A and CDK2 proteins which are inhibited by the same drugs. Representative examples of different clusters are presented. The effectiveness of the MED-SMA approach is demonstrated as it gathers binding sites of proteins with similar structure-activity relationships. Moreover, an efficient new protocol associates structures absent of cocrystallized ligands to the purine clusters enabling those structures to be associated with a specific binding mechanism. Applications of this classification by binding mode similarity include target-based drug design and prediction of cross-reactivity and therefore potential toxic side effects. [source] Database searching by flexible protein structure alignmentPROTEIN SCIENCE, Issue 7 2004Yuzhen Ye Abstract We have recently developed a flexible protein structure alignment program (FATCAT) that identifies structural similarity, at the same time accounting for flexibility of protein structures. One of the most important applications of a structure alignment method is to aid in functional annotations by identifying similar structures in large structural databases. However, none of the flexible structure alignment methods were applied in this task because of a lack of significance estimation of flexible alignments. In this paper, we developed an estimate of the statistical significance of FATCAT alignment score, allowing us to use it as a database-searching tool. The results reported here show that (1) the distribution of the similarity score of FATCAT alignment between two unrelated protein structures follows the extreme value distribution (EVD), adding one more example to the current collection of EVDs of sequence and structure similarities; (2) introducing flexibility into structure comparison only slightly influences the sensitivity and specificity of identifying similar structures; and (3) the overall performance of FATCAT as a database searching tool is comparable to that of the widely used rigid-body structure comparison programs DALI and CE. Two examples illustrating the advantages of using flexible structure alignments in database searching are also presented. The conformational flexibilities that were detected in the first example may be involved with substrate specificity, and the conformational flexibilities detected in the second example may reflect the evolution of structures by block building. [source] |