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PubMed2005

Adoption of array technologies into the clinical laboratory.

Array-based methods are making substantial contributions to the discovery of disease biomarkers and are fueling the growth of multianalyte testing for disease diagnosis and treatment. The distillation of high-density array results into sets of signature markers promises to improve disease staging, risk stratification and treatment decisions. To accommodate the growing requirement for multiplex testing, clinical laboratories are converting several single-analyte tests into array-based formats. However, adoption of array technologies provides several challenges to the laboratory, which must evaluate these new formats, train laboratory personnel, market the new services and obtain reimbursement for new analytes. Liquid-bead arrays are an attractive format for routine clinical diagnostics due to a combination of appropriate analyte density, simultaneous array decoding and detection, and flexibility for rapid customization. In this review, the suitability of several array platforms to diagnostic testing and applications of liquid-bead arrays for cystic fibrosis testing, multidisease carrier status assays and leukemia subtyping are discussed. As our understanding of the clinical utility of new or established biomarkers and recommendations for testing change, flexibility and adaptability of array platforms will be imperative. Future development of novel assay formats and improved quantitation will expand the number of diseases tested and lead to further integration into the diagnostic laboratory.

Genetic Testing↗
PubMed2003

Polyamine-dependent gene expression.

The polyamines spermidine and spermine along with the diamine putrescine are involved in many cellular processes, including chromatin condensation, maintenance of DNA structure, RNA processing, translation and protein activation. The polyamines influence the formation of compacted chromatin and have a well-established role in DNA aggregation. Polyamines are used in the posttranslational modification of eukaryotic initiation factor 5A, which regulates the transport and processing of specific RNA. The polyamines also participate in a novel RNA-decoding mechanism, a translational frame-shift, of at least two known genes, the TY1 transposon and mammalian antizyme. Polyamines are crucial for their own regulation and are involved in feedback mechanisms affecting both polyamine synthesis and catabolism. Recently, it has become apparent that the polyamines are able to influence the action of the protein kinase casein kinase 2. Here we address several roles of polyamines in gene expression.

Animals↗
PubMedDate not supplied

Analyzing gene expression time-courses.

Measuring gene expression over time can provide important insights into basic cellular processes. Identifying groups of genes with similar expression time-courses is a crucial first step in the analysis. As biologically relevant groups frequently overlap, due to genes having several distinct roles in those cellular processes, this is a difficult problem for classical clustering methods. We use a mixture model to circumvent this principal problem, with hidden Markov models (HMMs) as effective and flexible components. We show that the ensuing estimation problem can be addressed with additional labeled data-partially supervised learning of mixtures-through a modification of the Expectation-Maximization (EM) algorithm. Good starting points for the mixture estimation are obtained through a modification to Bayesian model merging, which allows us to learn a collection of initial HMMs. We infer groups from mixtures with a simple information-theoretic decoding heuristic, which quantifies the level of ambiguity in group assignment. The effectiveness is shown with high-quality annotation data. As the HMMs we propose capture asynchronous behavior by design, the groups we find are also asynchronous. Synchronous subgroups are obtained from a novel algorithm based on Viterbi paths. We show the suitability of our HMM mixture approach on biological and simulated data and through the favorable comparison with previous approaches. A software implementing the method is freely available under the GPL from http://ghmm.org/gql.

Algorithms↗
PubMed1997

Molecular characterization of the prokaryotic efp gene product involved in a peptidyltransferase reaction.

The translation factor EF-P is required for efficient prokaryotic peptide bond synthesis on 70S ribosomes from fMet-tRNAfMet. This protein has been purified from Escherichia coli cells and the gene, efp, encoding it has been cloned and sequenced. We have isolated recombinant clones which overexpress a protein that co-migrates with purified EF-P upon SDS-PAGE analysis. Using these clones, we report the purification, crystallization and initial characterization of the efp gene product. The mechanism by which EF-P stimulates peptide-bond synthesis was studied using several antibiotics that inhibit translocation, peptide-bond synthesis and decoding. The stimulation of peptidyltransferase by EF-P was not inhibited by antibiotics that affect translocation and occupation of the A site (in the elongation state), ie thiostrepton, viomycin, neomycin and fusidic acid but was inhibited by streptomycin as well as by inhibitors of peptidyltransferase, chloramphenicol and lincomycin. This observation and the requirement for L16 but not for the L7/L12 nor L6 or L11 r-proteins suggest that the binding site for EF-P may overlap the peptidyltransferase center of the ribosome.

Anti-Bacterial Agents↗
PubMed2006

The E-site story: the importance of maintaining two tRNAs on the ribosome during protein synthesis.

In the sixties James Watson suggested a twosite model for the ribosome comprising the P site for the peptidyl transfer RNA (tRNA) before peptide-bond formation and the A site, where decoding takes place according to the codon exposed there. In the eighties a third tRNA binding site was detected, the E site, which was specific for deacylated tRNA and turned out to be a universal feature of ribosomes. However, despite having three tRNA binding sites, only two tRNAs occupy the ribosome at a time during protein synthesis: at the A and P sites before translocation (PRE state) and at the P and E sites after translocation (POST state). The importance of having two tRNAs in the POST state has been revealed during the last 25 years, showing that the E site contributes two fundamental features: (i) the fact that incorporation of a wrong amino acid is not harmful for the cell (only 1 in about 400 misincorporations destroys the function of a protein) stems from the presence of an E-tRNA; (ii) maintenance of the reading frame is one of the most remarkable achievements of the ribosome, essential for faithful translation of the genetic information. The presence of the POST state E-tRNA prevents loss of the reading frame.

Amino Acid Substitution↗
PubMed1991

Selenocysteyl-tRNA occurs in the diatom Thalassiosira and in the ciliate Tetrahymena.

Selenocysteyl-tRNAs that decode UGA were identified previously in animal and bacterial cells and the genes for these tRNAs have been shown to be widespread in animals and eubacteria. In the present study, we identify a selenocysteyl-tRNA that codes for UGA in Thalassiosira pseudonana, which is a diatom, and in Tetrahymena borealis, which is a ciliate. The fact that these very diverse unicellular organisms also contain a selenocysteyl-tRNA suggests that selenocysteine-containing proteins and the use of UGA as a codon for selenocysteine are widespread, if not ubiquitous, in nature.

Animals↗
PubMed2006

Statistical assessment of the global regulatory role of histone acetylation in Saccharomyces cerevisiae.

BACKGROUND: Histone acetylation plays important but incompletely understood roles in gene regulation. A comprehensive understanding of the regulatory role of histone acetylation is difficult because many different histone acetylation patterns exist and their effects are confounded by other factors, such as the transcription factor binding sequence motif information and nucleosome occupancy. RESULTS: We analyzed recent genomewide histone acetylation data using a few complementary statistical models and tested the validity of a cumulative model in approximating the global regulatory effect of histone acetylation. Confounding effects due to transcription factor binding sequence information were estimated by using two independent motif-based algorithms followed by a variable selection method. We found that the sequence information has a significant role in regulating transcription, and we also found a clear additional histone acetylation effect. Our model fits well with observed genome-wide data. Strikingly, including more complicated combinatorial effects does not improve the model's performance. Through a statistical analysis of conditional independence, we found that H4 acetylation may not have significant direct impact on global gene expression. CONCLUSION: Decoding the combinatorial complexity of histone modification requires not only new data but also new methods to analyze the data. Our statistical analysis confirms that histone acetylation has a significant effect on gene transcription rates in addition to that attributable to upstream sequence motifs. Our analysis also suggests that a cumulative effect model for global histone acetylation is justified, although a more complex histone code may be important at specific gene loci. We also found that the regulatory roles among different histone acetylation sites have important differences.

Acetylation↗
PubMed2026

Multi-omics Mendelian Randomization Prioritizes Neutrophil Extracellular Trap-related Genes Associated with Atrial Fibrillation Risk.

BACKGROUND: Neutrophil extracellular traps (NETs) participate in thrombosis, inflammation, and cardiovascular remodeling, yet whether NET-related genes (NRGs) are associated with atrial fibrillation (AF) risk across multiple molecular layers remains unclear. This study used a multiomics Mendelian randomization framework to prioritize NRGs supported by methylation, expression, and protein quantitative trait loci (QTL) data. METHODS: Genome-wide significant cis instruments (P < 5 &#xd7; 10-8) were obtained for 90 methylation QTLs (mQTLs), 100 expression QTLs (eQTLs), and 38 protein QTLs (pQTLs) mapped to 137 literature- curated NRG entries. Summary-data-based Mendelian randomization (SMR) coupled with the heterogeneity in dependent instruments (HEIDI) test was applied using whole-blood mQTL data (n = 1,980), eQTLGen blood eQTL data (n = 31,684), and deCODE plasma pQTL data (n = 35,559). AF outcome data were obtained from a meta-analysis including 60,620 cases and 970,216 controls of European ancestry. RESULTS: At the methylation level, 21 CpG-feature associations across 13 genes remained significant after HEIDI filtering and false discovery rate (FDR) correction. Expression-level analysis identified eight significant gene-AF associations, whereas protein-level analysis identified seven significant features representing five unique proteins. Cross-omics integration prioritized C3, MAPK3, and STAT3 as Tier 1 genes, CTSC, LPAR3, and THBD as Tier 2 genes, and fourteen additional genes as Tier 3 candidates. C3 showed risk-increasing protein-level associations together with multiple significant CpG signals, whereas MAPK3 and STAT3 showed directionally protective expression/protein or methylation/protein patterns. DISCUSSION: The cross-omics convergence on C3, MAPK3, and STAT3 is consistent with complement activation, immune-fibrotic signaling, and cytokine-regulatory pathways implicated in AF biology, but the findings should be interpreted as genetic prioritization rather than definitive intervention-ready causality. CpG-level heterogeneity at the C3 locus and the blood/plasma origin of the QTL resources further support a cautious interpretation. Modest colocalization support and the unresolved possibility of pQTL sample overlap further support this cautious, hypothesis-generating interpretation. CONCLUSION: Multi-omics SMR prioritizes C3, MAPK3, and STAT3 as the most consistently supported NET-related genes associated with AF risk. These findings provide a framework for atrialtissue replication and mechanistic validation of NET-related pathways in AF.

Atrial fibrillation↗
PubMed2001

Requirement for Ca2+/calmodulin-dependent kinase type IV/Gr in setting the thymocyte selection threshold.

The outcome of thymocyte selection is influenced by the nature of Ca2+ signals transduced by the TCR. Robust Ca2+ responses characterize high-affinity, negatively selecting peptide/TCR interactions, while modest responses typify lower-affinity, positively selecting interactions. To elucidate mechanisms by which thymocytes decode distinct Ca2+ signals, we examined selection events in mice lacking Ca2+/calmodulin-dependent protein kinase type IV/Gr (CaMKIV/Gr), which is enriched in thymocytes. CaMKIV/Gr-deficient thymocytes exhibited impaired positive selection and defective Ca2+-dependent gene transcription. Significantly, CaMKIV/Gr deficiency raised the selection threshold of peptide/TCR interactions such that a peptide that normally induced weak negative selection instead promoted positive selection. These results demonstrate an important role for CaMKIV/Gr in sensitizing thymocytes to selection by low-affinity peptides.

Animals↗
PubMed1999

How is muscle phenotype controlled by nerve activity?

Motor neurons are known to affect muscle growth and fiber type profile (fast/slow, oxidative/glycolytic) by regulating muscle gene expression. However, the mechanism by which the information contained in specific action potential patterns is decoded by the transcriptional machinery of muscle fiber nuclei remains to be established. This is a basic issue in nerve/muscle biology, which has major implications in neurology, sport medicine and aging. We describe here a general strategy aimed at identifying the signal transduction pathways mediating the effects of nerve activity. This approach is based on the overexpression of constitutively active or dominant negative transduction factors in regenerating skeletal muscle.

Action Potentials↗
PubMed1988

Mutations within the decoding site of Escherichia coli 16S rRNA: growth rate impairment, lethality and intragenic suppression.

Several C----U transitions and small deletions were introduced into the conserved region centered on base C1400 in Escherichia coli 16S rRNA by in vitro mutagenesis. The mutations were placed within rrnB operons on multicopy plasmids under the transcriptional regulation of either the normal rrnB P1P2 promoters or the temperature-inducible PL promoter from bacteriophage lambda and introduced into E. coli hosts. When expressed from the P1P2 promoters, several of the mutant 16S rRNAs impaired cell growth while others, including one in which U replaced C at position 1400 within the ribosomal decoding site, had little or no effect on cell doubling time. However, C----U transitions at positions 1395 and 1407, as well as the deletion of C1400, appeared to render their hosts inviable. Cells in which these mutations were expressed from the lambdaPL promoter died within four generations after induction. Unexpectedly, the lethal phenotype was suppressed intragenically by replacement of G1505 with A, C or U. Suppression may alleviate a functional defect in 30S subunits containing the U1395, U1407 or deltaC1400 mutations.

Base Sequence↗
PubMed2001

The Candida albicans gene encoding the cytoplasmic leucyl-tRNA synthetase: implications for the evolution of CUG codon reassignment.

In a number of Candida species the 'universal' leucine codon CUG is decoded as serine. To help understand the evolution of such a codon reassignment we have analyzed the Candida albicans leucyl-tRNA synthetase (CaLeuRS) gene (CaCDC60). The predicted CaLeuRS sequence shows a significant level of amino acid identity to LeuRS from other organisms. A mitochondrial LeuRS (ScNAM2) homologue, which shared low identity with the CaLeuRS, was also identified in C. albicans. Antigenically-related LeuRSs were identified in a range of Candida species decoding the CUG codon as both serine and leucine, using an antibody raised against the N-terminal 15 amino acids of the CaLeuRS. Complementation experiments demonstrated that the CaLeuRS was able to functionally complement a Saccharomyces cerevisiae cdc60::kanMX null mutation. We conclude that there is no alteration in tRNA recognition and aminoacylation by the C. albicans LeuRS, which argues against it having a role in codon reassignment. The nucleotide sequences of the CaCDC60 and CaNAM2 genes were deposited at GenBank under Accession numbers AF293346 and AF352020, respectively.

Amino Acid Sequence↗
PubMed2004

Support for EKN1 as the susceptibility locus for dyslexia on 15q21.

Dyslexia has been linked to a number of chromosomal regions including 15q. Recently a gene, EKN1, with unknown function in the linked region, was identified via a translocation breakpoint. This gene was further supported as a susceptibility locus by association studies in a Finnish sample. We investigated the possibility of this locus as a susceptibility gene contributing to dyslexia, analyzed as a categorical trait, and analyzed key reading phenotypes as quantitative traits using six polymorphisms including the two previously reported to be associated with dyslexia. In our sample of 148 families identified through a proband with reading difficulties, we found significant evidence for an association to dyslexia analyzed as a categorical trait and found evidence of association to the reading and related processes of phonological awareness, word identification, decoding, rapid automatized naming, language ability, and verbal short-term memory. However, association was observed with different alleles and haplotypes than those reported to be associated in a Finnish sample. These findings provide support for EKN1 as a risk locus for dyslexia and as contributing to reading component processes and reading-related abilities. Based on these findings, further studies of this gene in independent samples are now required to determine the relationship of this gene to dyslexia.

Child↗
PubMed1996

Secondary structure and patterns of evolution among mammalian mitochondrial 12S rRNA molecules.

Forty-nine complete 12S ribosomal RNA (rRNA) gene sequences from a diverse assortment of mammals (one monotreme, 11 marsupials, 37 placentals), including 11 new sequences, were employed to establish a "core" secondary structure model for mammalian 12S rRNA. Base-pairing interactions were assessed according to the criteria of potential base-pairing as well as evidence for base-pairing in the form of compensatory mutations. In cases where compensatory evidence was not available among mammalian sequences, we evaluated evidence among other vertebrate 12S rRNAs. Our results suggest a core model for secondary structure in mammalian 12S rRNAs with deletions as well as additions to the Gutell (1994: Nucleic Acids Res. 22) models for Bos and Homo. In all, we recognize 40 stems, 34 of which are supported by at least some compensatory evidence within Mammalia. We also investigated the occurrence and conservation in mammalian 12S rRNAs of nucleotide positions that are known to participate in the decoding site in E. coli. Twenty-four nucleotide positions known to participate in the decoding site in E. coli also occur among mammalian 12S rRNAs and 17 are invariant for the same base as in E. coli. Patterns of nucleotide substitution were assessed based on our secondary structure model. Transitions in loops become saturated by approximately 10-20 million years. Transitions in stems, in turn, show partial saturation at 20 million years but divergence continues to increase beyond 100 million years. Transversions accumulate linearly beyond 100 million years in both stems and loops although the rate of accumulation of transversions is three- to fourfold higher in loops. Presumably, this difference results from constraints to maintain pairing in stems.

Animals↗
PubMed1993

Selection of a 'minimal' glutaminyl-tRNA synthetase and the evolution of class I synthetases.

The evolution of the aminoacyl-tRNA synthetases is intriguing in light of their elaborate relationship with tRNAs and their significance in the decoding process. Based on sequence motifs and structure determination, these enzymes have been assigned to two classes. The crystal structure of Escherichia coli glutaminyl-tRNA synthetase (GlnRS), a class I enzyme, complexed to tRNA(Gln) and ATP has been described. It is shown here that a 'minimal' GlnRS, i.e. a GlnRS from which domains interacting with the acceptor-end and the anticodon of the tRNA have been deleted, has enzymatic activity and can charge a tRNA(Tyr)-derived amber suppressor (supF) with glutamine. The catalytic core of GlnRS, which is structurally conserved in other class I synthetases, is therefore sufficient for the aminoacylation of tRNA substrates. Some of these truncated enzymes have lost their ability to discriminate against non-cognate tRNAs, implying a more specific role of the acceptor-end-binding domain in the recognition of tRNAs. Our results indicate that the catalytic and substrate recognition properties are carried by distinct domains of GlnRS, and support the notion that class I aminoacyl-tRNA synthetases evolved from a common ancestor, jointly with tRNAs and the genetic code, by the addition of non-catalytic domains conferring new recognition specificities.

Amino Acyl-tRNA Synthetases↗
PubMed2002

Expression of mutant alanine tRNAs increases spontaneous mutagenesis in Escherichia coli.

The expression of mutA, an allele of the glycine tRNA gene glyV, can confer a novel mutator phenotype that correlates with its ability to promote Asp-->Gly mistranslation. Both activities are mediated by a single base change within the anticodon such that the mutant tRNA can decode aspartate codons (GAC/U) instead of the normal glycine codons (GCC/U). Here, we investigate whether specific Asp-->Gly mistranslation is required for the unexpected mutator phenotype. To address this question, we created and expressed 18 individual alleles of alaV, the gene encoding an alanine tRNA, in which the alanine anticodon was replaced with those specifying other amino acids such that the mutant (alaVX) tRNAs are expected to potentiate X-->Ala mistranslation, where X is one of the other amino acids. Almost all alaVX alleles proved to be mutators in an assay that measured the frequency of rifampicin-resistant mutants, with one allele (alaVGlu) being a stronger mutator than mutA. The alaVGlu mutator phenotype resembles that of mutA in mutational specificity (predominantly transversions), as well as SOS independence, but in a puzzling twist differs from mutA in that it does not require a functional recA gene. Our results suggest that general mistranslation (as opposed to Asp-->Gly alone) can induce a mutator phenotype. Furthermore, these findings predict that a large number of conditions that increase translational errors, such as genetic defects in the translational apparatus, as well as environmental and physiological stimuli (such as amino acid starvation or exposure to antibiotics) are likely to activate a mutator response. Thus, both genetic and epigenetic mechanisms can accelerate the acquisition of mutations.

Alleles↗
PubMed1983

Effect of codon shortening and the antibiotics viomycin and sparsomycin upon the behaviour of bound aminoacyl-tRNA. Decoding at the ribosomal A site.

70 S ribosomes were programmed with initiator tRNA and messenger oligonucleotides AUG(U)n and AUG(C)n, where n = 1, 2 or 3. The binding of the ternary complexes [Phe-tRNA X EF-Tu X GTP] and [Pro-tRNA X EF-Tu X GTP] to the programmed ribosomes was studied. If codon-anticodon interaction is restricted to only one basepair, the ternary complex leaves the ribosome before GTP hydrolysis. Two basepairs allow hydrolysis of GTP, but the aminoacyl-tRNA dissociates and is recycled, resulting in wastage of GTP. Three basepairs result in apparently stable binding of aminoacyl-tRNA to the ribosome. The antibiotic sparsomycin weakens the binding by an amount roughly equivalent to one messenger base, while viomycin has the reverse effect.

Antibiotics, Antineoplastic↗
PubMed1979

Studies on tRNA adaptation, tRNA turnover, precursor tRNA and tRNA gene distribution in Bombyx mori by using two-dimensional polyacrylamide gel electrophoresis.

Eighteen out of twenty amino acids have been used for identifying tRNAs from the silkworm Bombyx mori L. fractionated on two-dimensional polyacrylamide gel electrophoresis. 43 spots out of 53 have been identified. This mapping confirms previous results and brings new answers to some questions on the regulation of tRNA biosynthesis. 1. In addition to quantitative adaptation of tRNAs to the composition of silk proteins (fibroin from the posterior silk gland, sericin from the middle part) and of iso-tRNAs from posterior silk gland to the major codons of fibroin mRNA, we also observe adaptation of tRNA from various tissues to the average amino acid content of proteins from fat body, gut, gonads and carcass of the silkworm. 2. In the silk gland, turnover rates of several tRNA species are similar. The selective accumulation of tRNAs needed for decoding fibroin and sericin mRNAs which takes place during the Vth larval instar, cannot be explained by the occurrence of a preferential degradation of some tRNA species. 3. Under given conditions for incubating silk glands, it is possible to obtain an accumulation of precursor tRNA species, which are enriched in pre-tRNAAla and pre-tRNAGly in the posterior silk gland and pre-tRNASer in the middle part. 4. The distribution of tRNA genes is not random. tRNA genes for glycine, alanine and serine are prominent. Selective transcription of batteries of iso-tRNA genes could explain our data.

Animals↗