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At least 865 records · Page 48Linked to original sources
PubMed2005

Analysis of organ-specific, expressed genes in Oncidium orchid by subtractive expressed sequence tags library.

The pseudobulb of Oncidium orchid plays a key role in water, carbohydrate, and other nutrition support during floral development, yet a large scale of gene expression analysis involved in the metabolisms have not been evaluated. By subtracting RsaI-digested cDNAs of leaf from those of psuedobulb, an efficient subtractive cDNA library was developed. In total, 1080 subtractive expressed sequence tags (ESTs) were obtained. Analysis revealed approximately 636 unique gene parts, 120 clusters and 516 singles. Of these sequences, 74.8% were annotated on the database of NCBI GenBank. Peroxidase, sodium/dicarboxylate cotransporter, and mannose-binding lectin were highly expressed. Some gene profiles were identified as related to carbohydrate metabolism involved in mannan, pectin, starch and sucrose biosynthesis. A large fraction of the ESTs (35%) were classified into transportation, stress-related, cell cycle, or regulatory functions. Most genes that were differentially expressed are important in early flowering development, carbohydrate metabolism and stress-response physiology. This efficient organ-specific EST library represented an explicit transcriptome profile of Oncidium pseudobulb.

Base Sequence↗
PubMed2026

Clinical and biochemical footprints of inherited disorders of autophagy.

Autophagy is an evolutionarily conserved lysosomal recycling system that integrates nutrient sensing, organelle quality control, proteostasis, cellular stress responses and metabolic adaptation. Autophagy is particularly relevant for post-mitotic tissue such as neurons, skin, and immune cells. Monogenic disorders disrupting autophagy or closely coupled endolysosomal trafficking pathways have recently emerged as a recognizable group of inherited metabolic diseases. These conditions are individually rare inborn errors of metabolism and collectively important because they bridge neurodevelopmental, neuromuscular and neurodegenerative disorders, including hereditary forms of Parkinson's disease, spastic paraplegias and neurodegeneration with brain iron accumulation. Multisystem involvement is common but variable. The prototypic disorder is EPG5-related Vici syndrome, in which defective autophagosome-lysosome fusion causes severe neurodevelopmental and multisystem disease. Other disorders may affect any step of the pathway, from phosphatidylinositol 3-phosphate effector biology and ATG conjugation/lipidation to autophagosome maturation, ATG9 trafficking, HOPS/CORVET-related vesicle trafficking (including VPS16 and VPS33A), autophagosome-lysosome fusion, autolysosome reformation and lysosome-mTOR signaling. Clinically, affected individuals commonly present with global developmental delay and/or intellectual disability, epilepsy, movement disorders including dystonia, parkinsonism, ataxia and spasticity, and both neuropathic and myopathic neuromuscular manifestations. A biphasic course with progressive neurodegeneration and variable multisystem (including ocular, cardiac, immunological, cutaneous and growth) involvement are important clinical clues. Diagnosis relies on careful phenotyping, brain MRI, targeted metabolic exclusion of mimics, genomic sequencing and functional assays in patient-derived cells as required. Supportive multidisciplinary management is essential. No disease-modifying therapy is currently established in humans, but pathway-based cellular assays, model systems and small-molecule or gene-replacement strategies are creating a rational therapeutic pipeline. Importantly, IEMbase dyadic nomenclature with system-level clinical annotations provides a standardized framework for quantifying shared phenotypic signatures across these ultra-rare conditions. This review summarizes pathobiochemistry, genetics, clinical presentation, diagnosis and treatment prospects for inherited disorders of autophagy.

Autophagosome↗
PubMed2003

Identification of 9 novel transcripts and two RGSL genes within the hereditary prostate cancer region (HPC1) at 1q25.

We applied a systematic bioinformatics approach, followed by careful manual inspection and experimental validation to identify additional expressed sequences located at the Hereditary Prostate Cancer Region (HPC1) between D1S2818 and D1S1642 on chromosome 1q25. All transcripts already described for the 1q25 region were identified and we were able to define 11 additional expressed sequences within this region (three full-length cDNA clone sequences and eight ESTs), increasing the total number of gene count in this region by 38%. Five out of the 11 expressed sequences identified were shown to be expressed in prostate tissue and thus represent novel disease gene candidates for the HPC1 region. Here, we report a detailed characterization of these five novel disease gene candidates, their expression pattern in various tissues, their genomic organization and functional annotation. Two candidates (RGSL1 and RGSL2) correspond to novel members of the RGS family, which is involved in the regulation of G-protein signaling. RGSL1 and RGLS2 expression was detected by real-time polymerase chain reaction in normal prostate tissue, but could not be detected in prostate tumor cell lines, suggesting they might have a role in prostate cancer.

Chromosome Mapping↗
PubMed2004

Transmembrane proteins in the Protein Data Bank: identification and classification.

MOTIVATION: Integral membrane proteins play important roles in living cells. Although these proteins are estimated to constitute 25% of proteins at a genomic scale, the Protein Data Bank (PDB) contains only a few hundred membrane proteins due to the difficulties with experimental techniques. The presence of transmembrane proteins in the structure data bank, however, is quite invisible, as the annotation of these entries is rather poor. Even if a protein is identified as a transmembrane one, the possible location of the lipid bilayer is not indicated in the PDB because these proteins are crystallized without their natural lipid bilayer, and currently no method is publicly available to detect the possible membrane plane using the atomic coordinates of membrane proteins. RESULTS: Here, we present a new geometrical approach to distinguish between transmembrane and globular proteins using structural information only and to locate the most likely position of the lipid bilayer. An automated algorithm (TMDET) is given to determine the membrane planes relative to the position of atomic coordinates, together with a discrimination function which is able to separate transmembrane and globular proteins even in cases of low resolution or incomplete structures such as fragments or parts of large multi chain complexes. This method can be used for the proper annotation of protein structures containing transmembrane segments and paves the way to an up-to-date database containing the structure of all known transmembrane proteins and fragments (PDB_TM) which can be automatically updated. The algorithm is equally important for the purpose of constructing databases purely of globular proteins.

Algorithms↗
PubMed2003

GlycoSuiteDB: a curated relational database of glycoprotein glycan structures and their biological sources. 2003 update.

GlycoSuiteDB is an annotated and curated relational database of glycan structures reported in the literature. It contains information on the glycan type, core type, linkages and anomeric configurations, mass, composition and the analytical methods used by the researchers to determine the glycan structure. Native and recombinant sources are detailed, including species, tissue and/or cell type, cell line, strain, life stage, disease, and if known the protein to which the glycan structures are attached. There are links to SWISS-PROT/TrEMBL and PubMed where applicable. Recent developments include the implementation of searching by 2D structure and substructure, disease and reference. The database is updated twice a year, and now contains over 7650 entries. Access to GlycoSuiteDB is available at http://www.glycosuite.com.

Animals↗
PubMed2004

Among multiple phosphomannomutase gene orthologues, only one gene encodes a protein with phosphoglucomutase and phosphomannomutase activities in Thermococcus kodakaraensis.

Four orthologous genes (TK1108, TK1404, TK1777, and TK2185) that can be annotated as phosphomannomutase (PMM) genes (COG1109) have been identified in the genome of the hyperthermophilic archaeon Thermococcus kodakaraensis KOD1. We previously found that TK1777 actually encodes a phosphopentomutase. In order to determine which of the remaining three orthologues encodes a phosphoglucomutase (PGM), we examined the PGM activity in T. kodakaraensis cells and identified the gene responsible for this activity. Heterologous gene expression and purification and characterization of the recombinant protein indicated that TK1108 encoded a protein with high levels of PGM activity (690 U mg(-1)), along with high levels of PMM activity (401 U mg(-1)). Similar analyses of the remaining two orthologues revealed that their protein products exhibited neither PGM nor PMM activity. PGM activity and transcription of TK1108 in T. kodakaraensis were found to be higher in cells grown on starch than in cells grown on pyruvate. Our results clearly indicate that, among the four PMM gene orthologues in T. kodakaraensis, only one gene, TK1108, actually encodes a protein with PGM and PMM activities.

Amino Acid Sequence↗
PubMed2005

Comparative promoter region analysis powered by CORG.

BACKGROUND: Promoters are key players in gene regulation. They receive signals from various sources (e.g. cell surface receptors) and control the level of transcription initiation, which largely determines gene expression. In vertebrates, transcription start sites and surrounding regulatory elements are often poorly defined. To support promoter analysis, we present CORG http://corg.molgen.mpg.de, a framework for studying upstream regions including untranslated exons (5' UTR). DESCRIPTION: The automated annotation of promoter regions integrates information of two kinds. First, statistically significant cross-species conservation within upstream regions of orthologous genes is detected. Pairwise as well as multiple sequence comparisons are computed. Second, binding site descriptions (position-weight matrices) are employed to predict conserved regulatory elements with a novel approach. Assembled EST sequences and verified transcription start sites are incorporated to distinguish exonic from other sequences. As of now, we have included 5 species in our analysis pipeline (man, mouse, rat, fugu and zebrafish). We characterized promoter regions of 16,127 groups of orthologous genes. All data are presented in an intuitive way via our web site. Users are free to export data for single genes or access larger data sets via our DAS server http://tomcat.molgen.mpg.de:8080/das. The benefits of our framework are exemplarily shown in the context of phylogenetic profiling of transcription factor binding sites and detection of microRNAs close to transcription start sites of our gene set. CONCLUSION: The CORG platform is a versatile tool to support analyses of gene regulation in vertebrate promoter regions. Applications for CORG cover a broad range from studying evolution of DNA binding sites and promoter constitution to the discovery of new regulatory sequence elements (e.g. microRNAs and binding sites).

5' Untranslated Regions↗
PubMed2005

Mammalian RNAi: a practical guide.

Silencing of gene expression by RNA interference (RNAi) has become a powerful tool for the functional annotation of the Caenorhabditis elegans and Drosophila melanogaster genomes. Recent advances in the design and delivery of targeting molecules now permit efficient and highly specific gene silencing in mammalian systems as well. RNAi offers a simple, fast, and cost-effective alternative to existing gene targeting technologies both in cell-based and in vivo settings. Synthetic small interfering RNA (siRNA) and retroviral short hairpin RNA (shRNA) libraries targeting thousands of human and mouse genes are publicly available for high-throughput genetic screens, and knockdown animals can be rapidly generated by lentivirus-mediated transgenesis. RNAi also holds great promise as a novel therapeutic approach. This review provides insight into the current gene silencing techniques in mammalian systems.

Animals↗
PubMed1998

Molecular biology and pathogenicity of mycoplasmas.

The recent sequencing of the entire genomes of Mycoplasma genitalium and M. pneumoniae has attracted considerable attention to the molecular biology of mycoplasmas, the smallest self-replicating organisms. It appears that we are now much closer to the goal of defining, in molecular terms, the entire machinery of a self-replicating cell. Comparative genomics based on comparison of the genomic makeup of mycoplasmal genomes with those of other bacteria, has opened new ways of looking at the evolutionary history of the mycoplasmas. There is now solid genetic support for the hypothesis that mycoplasmas have evolved as a branch of gram-positive bacteria by a process of reductive evolution. During this process, the mycoplasmas lost considerable portions of their ancestors' chromosomes but retained the genes essential for life. Thus, the mycoplasmal genomes carry a high percentage of conserved genes, greatly facilitating gene annotation. The significant genome compaction that occurred in mycoplasmas was made possible by adopting a parasitic mode of life. The supply of nutrients from their hosts apparently enabled mycoplasmas to lose, during evolution, the genes for many assimilative processes. During their evolution and adaptation to a parasitic mode of life, the mycoplasmas have developed various genetic systems providing a highly plastic set of variable surface proteins to evade the host immune system. The uniqueness of the mycoplasmal systems is manifested by the presence of highly mutable modules combined with an ability to expand the antigenic repertoire by generating structural alternatives, all compressed into limited genomic sequences. In the absence of a cell wall and a periplasmic space, the majority of surface variable antigens in mycoplasmas are lipoproteins. Apart from providing specific antimycoplasmal defense, the host immune system is also involved in the development of pathogenic lesions and exacerbation of mycoplasma induced diseases. Mycoplasmas are able to stimulate as well as suppress lymphocytes in a nonspecific, polyclonal manner, both in vitro and in vivo. As well as to affecting various subsets of lymphocytes, mycoplasmas and mycoplasma-derived cell components modulate the activities of monocytes/macrophages and NK cells and trigger the production of a wide variety of up-regulating and down-regulating cytokines and chemokines. Mycoplasma-mediated secretion of proinflammatory cytokines, such as tumor necrosis factor alpha, interleukin-1 (IL-1), and IL-6, by macrophages and of up-regulating cytokines by mitogenically stimulated lymphocytes plays a major role in mycoplasma-induced immune system modulation and inflammatory responses.

Animals↗
PubMed2004

Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations.

Proteome Analyst (PA) (http://www.cs.ualberta.ca/~bioinfo/PA/) is a publicly available, high-throughput, web-based system for predicting various properties of each protein in an entire proteome. Using machine-learned classifiers, PA can predict, for example, the GeneQuiz general function and Gene Ontology (GO) molecular function of a protein. In addition, PA is currently the most accurate and most comprehensive system for predicting subcellular localization, the location within a cell where a protein performs its main function. Two other capabilities of PA are notable. First, PA can create a custom classifier to predict a new property, without requiring any programming, based on labeled training data (i.e. a set of examples, each with the correct classification label) provided by a user. PA has been used to create custom classifiers for potassium-ion channel proteins and other general function ontologies. Second, PA provides a sophisticated explanation feature that shows why one prediction is chosen over another. The PA system produces a Naïve Bayes classifier, which is amenable to a graphical and interactive approach to explanations for its predictions; transparent predictions increase the user's confidence in, and understanding of, PA.

Internet↗
PubMed2004

Identification of MEF2-regulated genes during muscle differentiation.

Although a great deal has been elucidated concerning the mechanisms regulating muscle differentiation, little is known about transcription factor-specific gene regulation. Our understanding of the genetic mechanisms regulating cell differentiation is quite limited. Much of what has been defined centers on regulatory signaling cascades and transcription factors. Surprisingly few studies have investigated the association of genes with specific transcription factors. To address these issues, we have utilized a method coupling chromatin immunoprecipitation and CpG microarrays to characterize the genes associated with MEF2 in differentiating C(2)C(12) cells. Results demonstrated a defined binding pattern over the course of differentiation. Filtered data demonstrated 9 clones to be elevated at 0 h, 792 at 6 h, 163 by 1 day, and 316 at 3 days. Using unbiased selection parameters, we selected a subset of 291 prospective candidates. Clones were sequenced and filtered for removal of redundancy between clones and for the presence of repetitive elements. We were able to place 50 of these on the mouse genome, and 20 were found to be located near well-annotated genes. From this list, previously undefined associations with MEF2 were discovered. Many of these genes represent proteins involved in neurogenesis, neuromuscular junctions, signaling and metabolism. The remaining clones include many full-length cDNA and represent novel gene targets. The results of this study provides for the first time, a unique look at gene regulation at the level of transcription factor binding in differentiating muscle.

Actins↗
PubMed2005

Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition.

The nucleus is the brain of eukaryotic cells that guides the life processes of the cell by issuing key instructions. For in-depth understanding of the biochemical process of the nucleus, the knowledge of localization of nuclear proteins is very important. With the avalanche of protein sequences generated in the post-genomic era, it is highly desired to develop an automated method for fast annotating the subnuclear locations for numerous newly found nuclear protein sequences so as to be able to timely utilize them for basic research and drug discovery. In view of this, a novel approach is developed for predicting the protein subnuclear location. It is featured by introducing a powerful classifier, the optimized evidence-theoretic K-nearest classifier, and using the pseudo amino acid composition [K.C. Chou, PROTEINS: Structure, Function, and Genetics, 43 (2001) 246], which can incorporate a considerable amount of sequence-order effects, to represent protein samples. As a demonstration, identifications were performed for 370 nuclear proteins among the following 9 subnuclear locations: (1) Cajal body, (2) chromatin, (3) heterochromatin, (4) nuclear diffuse, (5) nuclear pore, (6) nuclear speckle, (7) nucleolus, (8) PcG body, and (9) PML body. The overall success rates thus obtained by both the re-substitution test and jackknife cross-validation test are significantly higher than those by existing classifiers on the same working dataset. It is anticipated that the powerful approach may also become a useful high throughput vehicle to bridge the huge gap occurring in the post-genomic era between the number of gene sequences in databases and the number of gene products that have been functionally characterized. The OET-KNN classifier will be available at www.pami.sjtu.edu.cn/people/hbshen.

Amino Acid Sequence↗
PubMed2026

Exploratory identification and cellular functional characterization of ppiabl as a candidate gene associated with growth traits in Paralichthys olivaceus.

The Japanese flounder (Paralichthys olivaceus) is an important mariculture species. However, the genetic mechanisms underlying its growth traits remain poorly understood. To explore the genetic basis of growth variation, whole-genome resequencing was performed in a cultured cohort of 60 individuals, followed by exploratory genome-wide association analysis and candidate-gene prioritization. The results revealed heritability estimates of 0.40 for body weight and 0.24 for body length, with substantial overlap in associated loci between the two traits. Exploratory association and variant-annotation analyses prioritized ppiabl, which carries a nonconservative missense variant, as a candidate gene for further investigation. Tissue expression analysis showed that ppiabl was highly expressed in muscle tissue. This gene encodes a protein belonging to the conserved peptidyl-prolyl cis-trans isomerase family. In Japanese flounder primary muscle cells, ppiabl knockdown was associated with altered expression of growth-related genes and an increased G1-phase fraction, whereas overexpression produced changes in the opposite direction. In line with this, fast-growing individuals were found to have significantly larger muscle fiber areas than slow-growing ones. These findings suggest that ppiabl may be involved in muscle-related cellular processes associated with growth variation in Japanese flounder, although its contribution to whole-animal growth requires further validation. Overall, this exploratory study prioritizes ppiabl as a candidate gene potentially associated with growth-related cellular processes in Japanese flounder, although validation in larger independent populations and in vivo models is required.

Animals↗
PubMedDate not supplied

Learning from the data: mining of large high-throughput screening databases.

High-throughput screening (HTS) campaigns in pharmaceutical companies have accumulated a large amount of data for several million compounds over a couple of hundred assays. Despite the general awareness that rich information is hidden inside the vast amount of data, little has been reported for a systematic data mining method that can reliably extract relevant knowledge of interest for chemists and biologists. We developed a data mining approach based on an algorithm called ontology-based pattern identification (OPI) and applied it to our in-house HTS database. We identified nearly 1500 scaffold families with statistically significant structure-HTS activity profile relationships. Among them, dozens of scaffolds were characterized as leading to artifactual results stemming from the screening technology employed, such as assay format and/or readout. Four types of compound scaffolds can be characterized based on this data mining effort: tumor cytotoxic, general toxic, potential reporter gene assay artifact, and target family specific. The OPI-based data mining approach can reliably identify compounds that are not only structurally similar but also share statistically significant biological activity profiles. Statistical tests such as Kruskal-Wallis test and analysis of variance (ANOVA) can then be applied to the discovered scaffolds for effective assignment of relevant biological information. The scaffolds identified by our HTS data mining efforts are an invaluable resource for designing SAR-robust diversity libraries, generating in silico biological annotations of compounds on a scaffold basis, and providing novel target family specific scaffolds for focused compound library design.

Algorithms↗
PubMed2006

Functional analysis of a group A streptococcal glycoside hydrolase Spy1600 from family 84 reveals it is a beta-N-acetylglucosaminidase and not a hyaluronidase.

Group A streptococcus (Streptococcus pyogenes) is the causative agent of severe invasive infections such as necrotizing fasciitis (the so-called 'flesh eating disease') and toxic-shock syndrome. Spy1600, a glycoside hydrolase from family 84 of the large superfamily of glycoside hydrolases, has been proposed to be a virulence factor. In the present study we show that Spy1600 has no activity toward galactosaminides or hyaluronan, but does remove beta-O-linked N-acetylglucosamine from mammalian glycoproteins--an observation consistent with the inclusion of eukaryotic O-glycoprotein 2-acetamido-2-deoxy-beta-D-glucopyranosidases within glycoside hydrolase family 84. Proton NMR studies, structure-reactivity studies for a series of fluorinated analogues and analysis of 1,2-dideoxy-2'-methyl-alpha-D-glucopyranoso-[2,1-d]-Delta2'-thiazoline as a competitive inhibitor reveals that Spy1600 uses a double-displacement mechanism involving substrate-assisted catalysis. Family 84 glycoside hydrolases are therefore comprised of both prokaryotic and eukaryotic beta-N-acetylglucosaminidases using a conserved catalytic mechanism involving substrate-assisted catalysis. Since these enzymes do not have detectable hyaluronidase activity, many family 84 glycoside hydrolases are most likely incorrectly annotated as hyaluronidases.

Acetylglucosamine↗
PubMed2004

The major form of MeCP2 has a novel N-terminus generated by alternative splicing.

MeCP2 is a methyl-CpG binding protein that can repress transcription of nearby genes. In humans, mutations in the MECP2 gene are the major cause of Rett syndrome. By searching expressed sequence tag (EST) databases we have found a novel MeCP2 splice isoform (MeCP2alpha) which encodes a distinct N-terminus. We demonstrate that the MeCP2alpha mRNA splice variant is more abundant than the previously annotated MeCP2 mRNA (MeCP2beta) in mouse tissues and human brain. Furthermore, MeCP2beta mRNA has an upstream open reading frame that inhibits its translation. As a result of these differences, >90% of MeCP2 in mouse brain is MeCP2alpha. Both protein isoforms are nuclear and colocalize with densely methylated heterochromatic foci in mouse cells. The presence of a previously unknown MeCP2 isoform has implications for the genetic screening of Rett syndrome patients and for studies of the functional significance of MeCP2.

Alternative Splicing↗
PubMed2003

Etoposide induces chimeric Mll gene fusions.

MLL gene fusions are the hallmark of more than 70% of therapy-related leukemias (t-ML) associated with topoisomerase II inhibitors (e.g., etoposide) and cause leukemia in murine transgenic models. To determine whether Mll genomic fusions can occur after exposure to topoisomerase II inhibitors, we developed a long-distance inverse PCR DNA-based assay for chimeric Mll fusions in mouse embryonic stem cells. We detected Mll fusions at a higher frequency following 100 microM etoposide for 8 h (16x10(-6) cell(-1)) than in no-drug controls (1.0x10(-6) cell(-1), P=0.0002) or after treatment with a comparably cytotoxic exposure to the antimicrotubule drug vincristine (1.0x10(-6) cell(-1), P=0.0047). The fusion points in Mll chimeric products induced by etoposide were localized to a 1.5 kb region between exons 9 and 11, analogous to the MLL breakpoint cluster region in human leukemia. All 49 Mll fusion partners analyzed matched known genomic murine sequences, with 40 (82%) matching annotated genes covering eighteen murine autosomes. One partner was Runx1, the murine homologue of the transcription factor AML-1, a target of human translocations in therapy-related leukemia. These findings indicate that etoposide triggers the formation of Mll gene fusions, a critical step for the development of treatment-induced leukemic transformation.

Animals↗
PubMed2000

Genome-wide analysis of oral cancer--early results from the Cancer Genome Anatomy Project.

The Cancer Genome Anatomy Project (CGAP) is a large cooperative effort sponsored by the US National Institutes of Health designed to find, catalog and annotate genes that are expressed during cancer development. In the past 2 years, the CGAP has sequenced over 700,000 clones from approximately 140 cDNA libraries, resulting in the identification of over 30,000 new human genes. As a first step in applying this project to oral cancer we entered four cell lines--two from oral cancer, one from primary oral keratinocytes, and one from oral keratinocytes which had been immortalized by human papillomavirus. Libraries of cDNA were made and sequenced and the data were deposited in GenBank. The expressed genes were then identified where possible. The cell lines, and the total number of expressed genes that were cloned from each were: HN3 (oral cancer), 263 genes; HN4 (oral cancer), 550 genes; HN5 (primary keratinocytes), 237 genes; HN6 (immortalized keratinocytes), 408 genes. The total number of different genes that were found was 1160. A total of 38 new genes, of unknown function, were discovered. The data presented here represent a beginning of the application of the CGAP technology to oral cancer. Even though the data are still quite incomplete, they already represent a large quantity of new information and clones of potential utility to the oral cancer community, and provide a glimpse of the data sets to be forthcoming from the Project. It must therefore be expected that there will soon be a large expansion in the volume of data regarding the genetics of oral cancer. Those who study this disease must be prepared to develop new methods of analysis and storage for handling the oncoming volumes of information.

Clone Cells↗