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Prediction Programs (prediction + program)
Selected AbstractsIdentification of ventricular-side-enriched molecules regulated in a stage-dependent manner during cerebral cortical developmentEUROPEAN JOURNAL OF NEUROSCIENCE, Issue 2 2006Itsuki Ajioka Abstract Radial glial cells are the main component of the embryonic cortical ventricular zone (VZ), producing deep-layer excitatory neurons in the early stage and upper-layer excitatory neurons in the late stage of development. Previous studies have suggested that the laminar fate of deep-layer neurons might be determined by early-stage-specific secretory or transmembrane molecules (S/TMs) in the VZ. However, the different properties required to produce the different types of neurons in early-stage and late-stage VZ cells are largely unknown. Herein, we investigated the stage-dependent transcriptional profiles of the ventricular side of the mouse cortex, which was manually dissected at embryonic day (E)12, E14 and E16, and identified 3985 ,VZ-enriched' genes, regulated stage-dependently, by GeneChip analysis. These molecules were classified into nine types based on stage-dependent regulation patterns. Prediction programs for the S/TMs revealed 659 ,VZ-enriched' S/TMs. In situ hybridization and real-time PCR analysis for several of these molecules showed results consistent with the statistical analysis of the GeneChip experiments. Moreover, we identified 17 cell cycle-related early-stage and ,VZ-enriched' molecules. These molecules included not only those involved in cell cycle progression, but also essential molecules for DNA double-strand break repair, such as Rad51 and Rpa1. These results suggest that the early stage-VZ cells, which produce both deep- and upper-layer neurons, and the late-stage VZ cells, which produce only upper-layer neurons, are intrinsically different. The gene lists presented here will be useful for the investigation of stage-dependent changes in VZ cells and their regulatory mechanisms in the developing cortex. [source] Exploring the Phospholipid Biosynthetic Pathways of Aspergillus fumigatus by Computational Genome AnalysisENGINEERING IN LIFE SCIENCES (ELECTRONIC), Issue 6 2005H. Do Abstract Aspergillus fumigatus causes a wide range of diseases that include mycotoxicosis, allergic reactions and systematic diseases (invasive aspergillosis) with high mortality rates. In recent years, considerable progress in the genome sequencing of this fungus has been made by an international consortium, which includes the Wellcome Trust Sanger Institute (UK) and the Institute for Genome Research (USA). A tenfold whole genome shotgun sequence assembly of A. fumigatus has been made publicly available. In this study, it was attempted to identify the genes related to the phospholipid biosynthesis from the A. fumigatus genome by a gene prediction program (GlimmerM) and to reconstruct the metabolic pathway for phospholipids of A. fumigatus. Fifteen genes related to phospholipid pathway were identified in the A. fumigatus genomic sequence. The open reading frames predicted by GlimmerM showed a high amino acid sequence similarity with the other fungal phospholipid biosynthetic genes and well-conserved functional domains. The obtained results also demonstrated that the reconstructed pathway of A. fumigatus in phospholipid biosynthesis was very similar to that of other fungi such as Saccharomyces cerevisiae, Schizosaccharomyces pombe, Candida albicans, and Neurospora crassa. Therefore it is postulated that the antifungal drugs targeted for the biosynthesis of phospholipids could also be effective against A. fumigatus. [source] Sustained activation of ERK1/2 by NGF induces microRNA-221 and 222 in PC12 cellsFEBS JOURNAL, Issue 12 2009Kazuya Terasawa MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by inhibiting translation and/or inducing degradation of target mRNAs, and they play important roles in a wide variety of biological functions including cell differentiation, tumorigenesis, apoptosis and metabolism. However, there is a paucity of information concerning the regulatory mechanism of miRNA expression. Here we report identification of growth factor-regulated miRNAs using the PC12 cell line, an established model of neuronal growth and differentiation. We found that expression of miR-221 and miR-222 expression were induced by nerve growth factor (NGF) stimulation in PC12 cells, and that this induction was dependent on sustained activation of the extracellular signal-regulated kinase 1 and 2 (ERK1/2) pathway. Using a target prediction program, we also identified a pro-apototic factor, the BH3-only protein Bim, as a potential target of miR-221/222. Overexpression of miR-221 or miR-222 suppressed the activity of a luciferase reporter activity fused to the 3, UTR of Bim mRNA. Furthermore, overexpression of miR-221/222 decreased endogenous Bim mRNA expression. These results reveal that the ERK signal regulates miR-221/222 expression, and that these miRNAs might contribute to NGF-dependent cell survival in PC12 cells. [source] Computer-aided NMR assay for detecting natively folded structural domains,PROTEIN SCIENCE, Issue 4 2006Takayuki Hondoh Abstract Structural genomics projects require strategies for rapidly recognizing protein sequences appropriate for routine structure determination. For large proteins, this strategy includes the dissection of proteins into structural domains that form stable native structures. However, protein dissection essentially remains an empirical and often a tedious process. Here, we describe a simple strategy for rapidly identifying structural domains and assessing their structures. This approach combines the computational prediction of sequence regions corresponding to putative domains with an experimental assessment of their structures and stabilities by NMR and biochemical methods. We tested this approach with nine putative domains predicted from a set of 108 Thermus thermophilus HB8 sequences using PASS, a domain prediction program we previously reported. To facilitate the experimental assessment of the domain structures, we developed a generic 6-hour His-tag-based purification protocol, which enables the sample quality evaluation of a putative structural domain in a single day. As a result, we observed that half of the predicted structural domains were indeed natively folded, as judged by their HSQC spectra. Furthermore, two of the natively folded domains were novel, without related sequences classified in the Pfam and SMART databases, which is a significant result with regard to the ability of structural genomics projects to uniformly cover the protein fold space. [source] Functional analysis of mutations in the ATP loop of the Wilson disease copper transporter, ATP7B,HUMAN MUTATION, Issue 5 2010Leiah M. Luoma Abstract Wilson disease (WND) is an autosomal recessive disorder resulting from mutation of ATP7B. Transport of copper by ATP7B from the trans -Golgi of hepatocytes into apical membrane-trafficked vesicles for excretion in the bile is the major means of copper elimination from the body. Although copper is an essential nutrient, homeostasis must be carefully maintained. If homeostasis is disrupted, copper can accumulate within the liver, kidney, cornea, and/or brain. The range of organs affected leads to clinical heterogeneity and difficulty in WND diagnosis. Sequencing of ATP7B is an important adjunct for diagnosis but has led to the discovery of many novel missense variants. Although prediction programs are available, functional characterization is essential for determining the consequence of novel variants. We have tested 12 missense variants localized to the ATP loop of ATP7B and compared three predictive programs (SIFT, PolyPhen, and Align-GVGD). We found p.L1043P, p.G1000R, p.G1101R, p.I1102T, p.V1239G, and p.D1267V deleterious; p.G1176E and p.G1287S intermediate; p.E1173G temperature sensitive; p.T991M and p.I1148T mild; and p.R1228T functioning as wild type. We found that SIFT most often agreed with functional data (92%), compared with PolyPhen (83%) and Align-GVGD (67%). We conclude that variants found to negatively affect function likely contribute to the WND phenotype in patients. Hum Mutat 31:569,577, 2010. © 2010 Wiley-Liss, Inc. [source] Intronic variants in BRCA1 and BRCA2 that affect RNA splicing can be reliably selected by splice-site prediction programs,HUMAN MUTATION, Issue 1 2009Maaike P.G. Vreeswijk Abstract A large number of sequence variants identified in BRCA1 and BRCA2 cannot be distinguished as either disease-causing mutations or neutral variants. These so-called unclassified variants (UVs) include variants that are located in the intronic sequences of BRCA1 and BRCA2. The purpose of this study was to assess the use of splice-site prediction programs (SSPPs) to select intronic variants in BRCA1 and BRCA2 that are likely to affect RNA splicing. We performed in vitro molecular characterization of RNA of six intronic variants in BRCA1 and BRCA2. In four cases (BRCA1, c.81,6T>A and c.4986+5G>T; BRCA2, c.7617+2T>G and c.8754+5G>A) a deleterious effect on RNA splicing was seen, whereas the c.135-15_-12del variant in BRCA1 showed no effect on RNA splicing. In the case of the BRCA2 c.68,7T>A variant, RNA analysis was not sufficient to establish the clinical significance. Six SSPPs were used to predict whether an effect on RNA splicing was expected for these six variants as well as for 23 intronic variants in BRCA1 for which the effect on RNA splicing has been published. Out of a total of 174 predictions, 161 (93%) were informative (i.e., the wild-type splice-site was recognized). No false-negative predictions were observed; an effect on RNA splicing was always predicted by these programs. In four cases (2.5%) a false-positive prediction was observed. For DNA diagnostic laboratories, these programs are therefore very useful to select intronic variants that are likely to affect RNA splicing for further analysis. Hum Mutat 0,1,8, 2008. © 2008 Wiley-Liss, Inc. [source] CxxS: Fold-independent redox motif revealed by genome-wide searches for thiol/disulfide oxidoreductase functionPROTEIN SCIENCE, Issue 10 2002Dmitri E. Fomenko Abstract Redox reactions involving thiol groups in proteins are major participants in cellular redox regulation and antioxidant defense. Although mechanistically similar, thiol-dependent redox processes are catalyzed by structurally distinct families of enzymes, which are difficult to identify by available protein function prediction programs. Herein, we identified a functional motif, CxxS (cysteine separated from serine by two other residues), that was often conserved in redox enzymes, but rarely in other proteins. Analyses of complete Escherichia coli, Campylobacter jejuni, Methanococcus jannaschii, and Saccharomyces cerevisiae genomes revealed a high proportion of proteins known to use the CxxS motif for redox function. This allowed us to make predictions in regard to redox function and identity of redox groups for several proteins whose function previously was not known. Many proteins containing the CxxS motif had a thioredoxin fold, but other structural folds were also present, and CxxS was often located in these proteins upstream of an ,-helix. Thus, a conserved CxxS sequence followed by an ,-helix is typically indicative of a redox function and corresponds to thiol-dependent redox sites in proteins. The data also indicate a general approach of genome-wide identification of redox proteins by searching for simple conserved motifs within secondary structure patterns. [source] Application of statistical potentials to protein structure refinement from low resolution ab initio modelsBIOPOLYMERS, Issue 4 2003Hui Lu Abstract Recently ab initio protein structure prediction methods have advanced sufficiently so that they often assemble the correct low resolution structure of the protein. To enhance the speed of conformational search, many ab initio prediction programs adopt a reduced protein representation. However, for drug design purposes, better quality structures are probably needed. To achieve this refinement, it is natural to use a more detailed heavy atom representation. Here, as opposed to costly implicit or explicit solvent molecular dynamics simulations, knowledge-based heavy atom pair potentials were employed. By way of illustration, we tried to improve the quality of the predicted structures obtained from the ab initio prediction program TOUCHSTONE by three methods: local constraint refinement, reduced predicted tertiary contact refinement, and statistical pair potential guided molecular dynamics. Sixty-seven predicted structures from 30 small proteins (less than 150 residues in length) representing different structural classes (,, ,, ,,/,) were examined. In 33 cases, the root mean square deviation (RMSD) from native structures improved by more than 0.3 Å; in 19 cases, the improvement was more than 0.5 Å, and sometimes as large as 1 Å. In only seven (four) cases did the refinement procedure increase the RMSD by more than 0.3 (0.5) Å. For the remaining structures, the refinement procedures changed the structures by less than 0.3 Å. While modest, the performance of the current refinement methods is better than the published refinement results obtained using standard molecular dynamics. © 2003 Wiley Periodicals, Inc. Biopolymers 70: 575,584, 2003 [source] | |||||||||||||