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Probing the ArcA-P modulon of Escherichia coli by whole genome transcriptional analysis and sequence recognition profiling.

The ArcB/ArcA two-component signal transduction system of Escherichia coli regulates gene expression in response to the redox conditions of growth. Over the years, genetic screens have lead to the identification of about 30 ArcA-P-controlled operons that are involved in redox metabolism. However, the discovery of 3 targets that are not implicated in respiratory metabolism (the tra operon for plasmid conjugation, psi site for Xer-based recombination, and oriC site for chromosome replication) suggests that the Arc modulon may comprise additional operons that are involved in a myriad of functions. To identify these operons, we derived the ArcA-P-dependent transcription profile of E. coli using oligonucleotide-based microarray analysis. The findings indicated that 9% of all open reading frames in E. coli are affected either directly or indirectly by ArcA-P. To identify which operons are under the direct control of ArcA-P, we developed the ArcA-P recognition weight matrix from footprinting data and used it to scan the genome, yielding an ArcA-P sequence affinity map. By overlaying both methods, we identified 55 new Arc-regulated operons that are implicated in energy metabolism, transport, survival, catabolism, and transcriptional regulation. The data also suggest that the Arc response pathway, which translates into a net global downscaling of gene expression, overlaps partly with the FNR regulatory network. A conservative but reasonable assessment is that the Arc pathway recruits 100-150 operons to mediate a role in cellular adaptation that is more extensive than hitherto anticipated.

Bacterial Outer Membrane Proteins↗

QTL for yield and its components responded to elevated CO2 in rice (Oryza sativa L.).

FACE (free air carbon dioxide enrichment) technology may provide a means by which the environment around growing plants can be modified to realistically simulate the concentration of atmospheric CO2 in the future. The plant growth and its yield of plant species can be enhanced under FACE. Identification of genomic regions influencing the response of yield and its components to elevated CO2 will be useful for understanding the genetics of active response to changed CO2 environment and developing higher yield cultivars, which will be adapted to future enriched atmospheric CO2 environment. A mapping population of 65 indica (IR24) chromosome segment substitution lines (CSSLs) in japonica (Asominori) background and their parents were used to detect QTLs for yield and its components, e. g. number of fertile tillers per plant (FT), 1000-grain weight (TGW), number of grains per panicle (GP) and grain yield per plant (GY) under FACE (200 micromol CO2/mol above current levels) and current CO2 concentration (Ambient, about 370 micromol CO2/mol) in the field experiment. The results showed that, GY, GP and FT of two parents under FACE were significant greater than that under Ambient. The transgressive segregation of the four traits was observed in the CSSLs population under both FACE and Ambient. A total of 20 QTLs for the four traits were detected on chromosome 1, 2, 4, 6, 7, 9 and 12 with LOD (Log10-likelihood ratio) of QTLs ranging from 2.5 to 5.7. Three QTLs were detected under both FACE and Ambient. However,other QTLs were detected only under one level of CO2, which indicated that these loci were sensitive to CO2 concentration. Additionally, two QTLs qFT12 and qGP4 were found for the QTL x Environment (QE) interaction effects. It is suggested that there is a high possibility to improve the yield of rice under elevated CO2 through marker-assisted selection.

Biomass↗

[Genomics of body weight regulation: unraveling the molecular mechanisms predisposing to obesity].

Obesity has become a worldwide public health problem which affects millions of people. Substantial progress has been made in elucidating the pathogenesis of energy homeostasis over the past few years. The fact that obesity is under strong genetic control has been well established. Twin, adoption and family studies have shown that genetic factors play a significant role in the pathogenesis of obesity. Human monogenic obesity is rare in large populations. The most common form of obesity is considered to be a polygenic disorder. New treatments are currently required for this common metabolic disease and type 2 diabetes. The identification of physiological and biochemical factors that underlie the metabolic disturbances observed in obesity is a key step in developing better therapeutic outcomes. The discovery of new genes and pathways involved in the pathogenesis of such a disease is critical to this process. However, identification of genes that contribute to the risk of developing the disease represents a significant challenge since obesity is a complex disease with many genetic and environmental causes. A number of diverse approaches have been used to discover and validate potential new genes for obesity. To date, DNA-based approaches using candidate genes and genome-wide linkage analysis have not had a great success in identifying genomic regions or genes involved in the development of these diseases. Recent advances in the ability to evaluate linkage analysis data from large family pedigrees (using variance components-based linkage analysis) show great promise in robustly identifying genomic regions associated with the development of obesity. Studying rare mutations in humans and animal models has provided fundamental insight into a complex physiological process, and has complemented population-based studies that seek to reveal primary causes. Remarkable progress has been made in both fronts and the pace of advance is likely to accelerate as functional genomics and the human genome project expand and mature. Approaches based on Mendelian and quantitative genetics may well converge, and ultimately lead to more rational and selective therapies.

Animals↗

Identification of a gene cluster encoding an arginine ATP-binding-cassette transporter in the genome of the thermophilic Gram-positive bacterium Geobacillus stearothermophilus strain DSMZ 13240.

A single gene cluster encoding components of a putative ATP-binding cassette (ABC) transporter for basic amino acids was identified in the incomplete genome sequence of the thermophilic Gram-positive bacterium Geobacillus stearothermophilus by blast searches. The cluster comprises three genes, and these were amplified from chromosomal DNA of G. stearothermophilus, ligated into plasmid vectors and expressed in Escherichia coli. The purified solute-binding protein (designated ArtJ) was demonstrated to bind L-arginine with high affinity (Kd=0.39+/-0.06 microM). Competition experiments revealed only partial inhibition by excess L-lysine (38 %) and L-ornithine (46 %), while no inhibition was observed with L-histidine or other amino acids tested. The membrane-associated transport complex, composed of a permease (designated ArtM) and an ATPase component (designated ArtP), was solubilized from E. coli membranes by decanoylsucrose and purified by metal-affinity chromatography. The ArtMP complex, when incorporated into liposomes formed from a crude extract of G. stearothermophilus lipids, displayed ATPase activity in the presence of ArtJ only. Addition of L-arginine further stimulated the activity twofold. ATP hydrolysis was optimal at 60 degrees C and sensitive to the specific inhibitor vanadate. Analysis of kinetic parameters revealed a maximal velocity of ATP hydrolysis of 0.71 micromol Pi min(-1) (mg protein)(-1) and a Km(ATP) of 1.59 mM. Together, these results identify the ArtJMP complex as a high-affinity arginine ABC transporter.

ATP-Binding Cassette Transporters↗

Autocatalytic processing of the potyvirus helper component proteinase in Escherichia coli and in vitro.

The virus-encoded proteins of tobacco etch virus (TEV), a plant potyvirus, arise by proteolytic processing of a large polyprotein precursor. The TEV genome codes for two proteinases, a 49-kilodalton proteinase and helper component proteinase (HC-Pro), which cleave the polyprotein at specific sites. The only known cleavage event catalyzed by HC-Pro occurs at the HC-Pro carboxyl terminus. The proteolytic activity of HC-Pro was analyzed by expression of the enzyme in bacterial and cell-free systems. The carboxyl-terminal domain of HC-Pro exhibited proteolytic activity in Escherichia coli with a processing half-time of approximately 100 s. The processing kinetics of HC-Pro expressed in vitro by cell-free transcription and translation was variable, depending on the presence or absence of TEV polypeptide sequences at the amino terminus of the proteolytic domain. Cleavage of the HC-Pro carboxyl terminus appeared to proceed exclusively by an autocatalytic mechanism; the proteinase synthesized in vitro exhibited little or no proteolytic activity when reacted with the HC-Pro cleavage site in trans or biomolecular reactions.

Cell-Free System↗

Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm).

This article describes the applicability of multivariate projection techniques, such as principal-component analysis (PCA) and partial least-squares (PLS) projections to latent structures, to the large-volume high-density data structures obtained within genomics, proteomics, and metabonomics. PCA and PLS, and their extensions, derive their usefulness from their ability to analyze data with many, noisy, collinear, and even incomplete variables in both X and Y. Three examples are used as illustrations: the first example is a genomics data set and involves modeling of microarray data of cell cycle-regulated genes in the microorganism Saccharomyces cerevisiae. The second example contains NMR-metabonomics data, measured on urine samples of male rats treated with either of the drugs chloroquine or amiodarone. The third and last data set describes sequence-function classification studies in a set of G-protein-coupled receptors using hierarchical PCA.

Animals↗

Aldehyde dehydrogenase gene superfamily: the 2002 update.

The aldehyde dehydrogenase (ALDH) superfamily represents a divergently related group of enzymes that metabolize a wide variety of endogenous and exogenous aldehydes. With the advent of megabase genome sequencing, the ALDH superfamily is continuously expanding on many fronts. The presence of ALDH encoding genes in the vast majority of archaeal, eubacterial and eukaryotic genomes supports the notion that these enzymes are important components of metabolic processes in living organisms and that the ALDH superfamily is ancient in origin. As of July 2002, the ALDH superfamily consists of 555 distinct genes: 32 in archaea, 351 in eubacteria, and 172 in eukaryota. Complete sequencing of individual genomes reveals the number of ALDH genes found per organism ranges from 1 to 5 in archaeal species, 1-26 genes in eubacterial species, and 8-17 genes in eukaryotic species. In the human genome, 17 functional genes and 3 pseudogenes have been identified to date. A standardized ALDH gene nomenclature system has been developed based on multiple alignment analysis of eukaryotic ALDH amino acid sequences. Both Human and Mouse Genome Projects have accepted this nomenclature system. In this report, we present a complete listing of all ALDH sequences known to date, along with the evolutionary analysis of the eukaryotic ALDHs. Thus far, the eukaryotic ALDHs comprise 20 gene families. Detailed information on ALDH gene superfamily is also available at http://www.uchsc.edu/sp/sp/alcdbase/aldhcov.html.

Aldehyde Dehydrogenase↗

Recent developments in computational proteomics.

The mapping of the human genome was completed earlier this year and efforts are underway to understand the role of gene products (i.e. proteins) in biological pathways and human disease and to exploit their functional roles to derive protein therapeutics and protein-based drugs. A key component to the next revolution in the 'post-genomic' era will be the increasingly widespread use of protein structure in rational experimental design. Improvements in quality, availability and utility of large-scale 3D and 4D protein structural information are enabling a revolution in rational design, having particular impact on drug discovery and optimization. New computational methodologies now yield modeled structures that are, in many cases, quantitatively comparable with crystal structures, at a fraction of the cost.

Animals↗

Recent developments in computational proteomics.

The mapping of the human genome was completed earlier this year and efforts are underway to understand the role of gene products (i.e. proteins) in biological pathways and human disease and to exploit their functional roles to derive protein therapeutics and protein-based drugs. A key component to the next revolution in the 'post-genomic' era will be the increasingly widespread use of protein structure in rational experimental design. Improvements in quality, availability and utility of large-scale three- and four-dimensional protein structural information are enabling a revolution in rational design, having particular impact on drug discovery and optimization. New computational methodologies now yield modeled structures that are, in many cases, quantitatively comparable with crystal structures, at a fraction of the cost.

Journal Article↗

Cellular functions of the BRCA tumour-suppressor proteins.

Inherited germline mutations in either BRCA1 or BRCA2 confer a significant lifetime risk of developing breast or ovarian cancer. Defining how these two genes function at the cellular level is essential for understanding their role in tumour suppression. Although BRCA1 and BRCA2 were independently cloned over 10 years ago, it is only in the last few years that significant progress has been made towards understanding their function in cells. It is now widely accepted that both genes play critical roles in the maintenance of genome stability. Evidence implicates BRCA2 as an integral component of the homologous recombination machinery, whereas BRCA1 is an E3 ubiquitin ligase that has an impact on DNA repair, transcriptional regulation, cell-cycle progression and meiotic sex chromosome inactivation. In this article, I will review the most recent advances and provide a perspective of potential future directions in this field.

BRCA1 Protein↗

The relative contribution of the X chromosome to ocular phenotypes.

The X chromosome is unique, both in terms of functional expression and evolutionary history. Population frequencies for a minority of conditions, such as mental retardation, are directly related to the X chromosome. To explore these ideas, we investigated the general role of the X chromosome in ocular genetics through bioinformatic analysis of the distribution of eye-related genes in the human genome. The proportion of eye-disease loci located on the X chromosome compared to those eye diseases with an autosomal locus was calculated. The resultant figure (3.47) is lower than that calculated for mental retardation (9.74). A comparison between the number of X chromosome genes expressed in the eye compared to the number of autosomal genes expressed in the eye also did not reveal significant differences. Of all genes expressed in the eye, 2.9% are thought to be located on the X chromosome, fewer than found for the larger autosomes (which range from 10.1% to 3.6%). The eye's functional genetic components appear to be dispersed throughout the human genome, possibly to ensure survival in the event of significant cytogenetic derangement.

Chromosomes, Human, X↗

Genomic localization of hepatitis B virus in a human hepatoma cell line.

The integration of hepatitis B viral sequences in the human hepatoma Alexander cell line has been investigated after fractionation of the cell line DNA by centrifugation in a Cs2SO4/BAMD (3,6-(bis-acetato mercurimethyl) dioxane) density gradient. Eight out of nine integrated viral sequences were localized in DNA component H3, which only represents 4% of the human genome and matches the base composition of HBV sequences. These results indicate a targeting and/or a higher stability of the latter in a specific, small compartment of the host genome.

Carcinoma, Hepatocellular↗

Molecular biology of Borna disease virus and persistence.

Borna disease virus (BDV) causes central nervous system (CNS) disease that is frequently manifested by behavioral abnormalities. Recent evidence indicates that the natural host range and geographic distribution of BDV is wider than originally thought BDV has been molecularly characterized as a non-segmented, negative single-stranded (NNS) RNA virus. Its genome (ca 8.9 kb), the smallest among known NNS RNA viruses, has an organization similar to that of other members of the order Mononegavirales. BDV has the property, unique among known animal NNS RNA viruses, of a nuclear site for the replication and transcription of its genome. The nucleocytoplasmic transport of BDV macromolecules is an essential component of the life cycle of BDV. An overlap of transcription units and transcriptive signals, overlap of ORFs, transcriptional readthrough and RNA splicing regulate expression of the BDV compact genome. The concurrent use of such diversity of strategies for the regulation of virus gene expression is unique among known NNS RNA viruses. Moreover, BDV appears to have also an unusual assembly process. Based on its unique genetic and biological features, BDV is considered to be the prototypic member of a new virus family, Bornaviridae, within the order Mononegavirales. Therefore, the investigation of the molecular biology of BDV may provide new insights about the biology of mononegaviruses, which include important human pathogens.

Animals↗

Flock House virus subgenomic RNA3 is replicated and its replication correlates with transactivation of RNA2.

The nodavirus Flock House virus has a bipartite genome composed of RNAs 1 and 2, which encode the catalytic component of the RNA-dependent RNA polymerase (RdRp) and the capsid protein precursor, respectively. In addition to catalyzing replication of the viral genome, the RdRp also transcribes from RNA1 a subgenomic RNA3, which is both required for and suppressed by RNA2 replication. Here, we show that in the absence of RNA1 replication, FHV RdRp replicated positive-sense RNA3 transcripts fully and copied negative-sense RNA3 transcripts into positive strands. The two nonstructural proteins encoded by RNA3 were dispensable for replication, but sequences in the 3'-terminal 58 nucleotides were required. RNA3 variants that failed to replicate also failed to transactivate RNA2. These results imply that RNA3 is naturally produced both by transcription from RNA1 and by subsequent RNA1-independent replication and that RNA3 replication may be necessary for transactivation of RNA2.

Capsid↗

Differentiation of troponin in cardiac and skeletal muscles in chicken embryos as studied by immunofluorescence microscopy.

The differentiation of troponin (TN) in cardiac and skeletal muscles of chicken embryos was studied by indirect immunofluorescence microscopy. Serial sections of embryos were stained with antibodies specific to TN components (TN-T, -I, and -C) from adult chicken cardiac and skeletal muscles. Cardiac muscle began to be stained with antibodies raised against cardiac TN components in embryos after stage 10 (Hamburger and Hamilton numbering, 1951, J. Morphol. 88:49-92). It reacted also with antiskeletal TN-I from stage 10 to hatching. Skeletal muscle was stained with antibodies raised against skeletal TN components after stage 14. It also reacted with anticardiac TN-T and C from stage C from stage 14 to hatching. It is concluded that, during embryonic development, cardiac muscle synthesizes TN-T and C that possess cardiac-type antigenicity and TN-I that has antigenic determinants similar to those present in cardiac as well as in skeletal muscles. Embryonic skeletal muscle synthesizes TN-I that possesses antigenicity for skeletal muscle and TN-T and C which share the antigenicities for both cardiac and skeletal muscles. Thus, in the development of cardiac and skeletal muscles, a process occurs in which the fiber changes its genomic programming: it ceases synthesis of the TN components that are immunologically indistinguishable from one another and synthesizes only tissue-type specific proteins after hatching.

Animals↗

Testis-specific murine centrin, Cetn1: genomic characterization and evidence for retroposition of a gene encoding a centrosome protein.

Centrin is a centrosome component in species from yeast to humans. Here, the mouse centrin 1 gene (Cetn1) is analyzed with respect to its genomic structure, chromosome localization, tissue-specific expression, and phylogenetic relationship to the other mouse centrin genes and their human orthologs. Cetn1 is an intronless gene located on chromosome 18A2 that encodes a 172-amino-acid protein with a predicted molecular mass of 19,696 Da (pI 4.61) and all of the structural features common to centrin. Cetn1 possesses the sequence features of an expressed retroposon: the gene lacks introns, the open reading frame is not interrupted by stop codons, and the coding region is flanked by a pair of direct repeats. Reverse transcriptase-polymerase chain reaction and Northern blot analysis demonstrate that Cetn1 expression is limited exclusively to the testis in adult male mice. Cetn1 expression is first seen in the neonatal testis at 14 days postpartum, reaching adult levels by day 17. These observations provide new insight into the regulation, function, and evolutionary history of centrin in higher eukaryotes.

Amino Acid Sequence↗

The Z curve database: a graphic representation of genome sequences.

MOTIVATION: Genome projects for many prokaryotic and eukaryotic species have been completed and more new genome projects are being underway currently. The availability of a large number of genomic sequences for researchers creates a need to find graphic tools to study genomes in a perceivable form. The Z curve is one of such tools available for visualizing genomes. The Z curve is a unique three-dimensional curve representation for a given DNA sequence in the sense that each can be uniquely reconstructed given the other. The Z curve database for more than 1000 genomes have been established here. RESULTS: The database contains the Z curves for archaea, bacteria, eukaryota, organelles, phages, plasmids, viroids and viruses, whose genomic sequences are currently available. All the 3-dimensional Z curves and their three component curves are stored in the database. The applications of the Z curve database on comparative genomics, gene prediction, computation of G+C content with a windowless technique, prediction of replication origins and terminations of bacterial and archaeal genomes and study of local deviations from the Chargaff Parity Rule 2 etc. are presented in detail. The Z curve database reported here is a treasure trove in which biologists could find useful biological knowledge.

Animals↗

Positive inotropism induced by androgens in isolated left atrium of rat: evidence for a cAMP-dependent transcriptional mechanism.

Steroid hormones exert their biological actions via intracellular receptors modulation of transcription. In addition, a number of molecular interactions, and the existence of membrane receptors in several tissues, support the hypothesis of nongenomic action of steroids. The androgens, 5alpha- and 5beta-dihydrotestosterone (0.1 to 100 microM), induce a rapid positive inotropism in the isolated left atrium of male Wistar rats whose time course of response might suggest that it is a non-genomic effect. However, the fact that the facilitation of contractility was inhibited by actinomycin D (5 microg/ml) and cycloheximide (10 microg/ml) indicates that a transcriptional component might play a role. The existence of a rapid functional genomic role would be somewhat surprising. However, rapid transcriptional mechanisms were also observed in certain cAMP-dependent responses. In the left atrium of rat, Rp-cAMPS (10 microM), a cAMP-dependent protein kinase inhibitor, antagonized 5alpha- but not 5beta-dihydrotestosterone-induced positive inotropism. The inhibition by Rp-cAMPS of isoproterenol- and forskolin-induced positive inotropism, and the fact that these cAMP-dependent effects were also inhibited by actinomycin D and cycloheximide, suggest that a cAMP-dependent transcriptional component may be partly involved in the positive inotropism induced by 5alpha-dihydrotestosterone. In addition, 5alpha-dihydrotestosterone might increase the basal adenylyl cyclase activity by acting on unoccupied beta-adrenoceptor-G-protein-adenylyl cyclase complexes, since the elicited inotropism was inhibited by a beta-blocker, atenolol (1 microM), a G-protein inhibitor, pertussis toxin (2 microg/ml, 3 h), and an adenylyl cyclase inhibitor, dideoxy-adenosine (10 microM).

Adenylate Cyclase Toxin↗