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M E Dalphin

Publications and source records attributed to M E Dalphin.

13 recordsLinked to original sources
PubMed1999

TransTerm, the translational signal database, extended to include full coding sequences and untranslated regions.

TransTerm is a database of mRNA sequences and parameters useful for detecting translational control signals in general. TransTerm-98 has been expanded beyond previous years to include full coding sequences and UTRs, while retaining the original small contexts about the coding sequence start- and stop-codons. The database contains more than 130 000 non-redundant coding sequences with associated untranslated regions (UTRs) from over 450 species. This includes the complete genomes of 12 prokaryotic and one eukaryotic organism. Several coding sequence parameters are available: coding sequence length, Nc, GC3 and, when it is computable, Codon Adaptation Index (CAI). Codon usage tables and summaries of start- and stop-codon contexts are also included. TransTerm-98 has both a relational database form with a WWW interface and a flatfile format, also available by Internet browser. TransTerm is available at: http://biochem.otago.ac.nz:800/Transterm/homepage.h tml

Codon↗
PubMed1998

The translational signal database, TransTerm, is now a relational database.

TransTerm-97 contains more than 97 500 non-redundant coding-sequence initiation and termination contexts compiled from GenBank, release 101 (15-June-1997). In addition, several coding sequence parameters are available: coding sequence length, Nc, GC3, and, when it is computable, codon adaptation index (CAI). Codon usage tables and summaries of start and stop codon contexts are also included. The information covers more than 325 species and organelles, including seven complete bacterial genomes and one complete eukaryotic genome. To promote research in translational control of protein synthesis, TransTerm has been converted into a relational database to ease the process of making queries. The relational database manager, Postgresql, gives access to the database using SQL (Structured Query Language). A World Wide Web interface using forms is being completed to allow the casual user access to the database. Extensions are planned to include the full 5'-UTR, full coding sequence and 3'-UTR. TransTerm-97 is available on the World Wide Web at:http://biochem. otago.ac.nz:800/Transterm/homepage.html

Animals↗
PubMed1997

The translational signal database, TransTerm: more organisms, complete genomes.

TransTerm is a database of initiation and termination sequence contexts from more than 250 organisms listed in GenBank, including the four complete genomes:Haemophilus influenzae, Methanococcus jannaschii, Mycoplasma genitalium,and Saccharomyces cerevisiae. For the current release, more than 60 000 coding sequences were analysed. The tabulated data include initiation and termination contexts organised by species along with quantitative parameters about individual coding sequences (length, %GC, GC3, Nc and CAI). There are also tables of initiation- and termination-region nucleotide-frequencies, codon usage tables and summaries of stop signal usage. TransTerm is available on the World Wide Web at: http://biochem.otago.ac.nz:800/Transterm/homepage.h tml

Base Sequence↗
PubMed1996

Is the in-frame termination signal of the Escherichia coli release factor-2 frameshift site weakened by a particularly poor context?

The synthesis of release factor-2 (RF-2) in bacteria is regulated by a high efficiency +1 frameshifting event at an in-frame UGA stop codon. The stop codon does not specify the termination of synthesis efficiently because of several upstream stimulators for frameshifting. This study focusses on whether the particular context of the stop codon within the frameshift site of the Escherichia coli RF-2 mRNA contributes to the poor efficiency of termination. The context of UGA in this recoding site is rare at natural termination sites in E.coli genes. We have evaluated how the three nucleotides downstream from the stop codon (+4, +5 and +6 positions) in the native UGACUA sequence affect the competitiveness of the termination codon against the frameshifting event. Changing the C in the +4 position and, separately, the A in the +6 position significantly increase the termination signal strength at the frameshift site, whereas the nucleotide in the +5 position had little influence. The efficiency of particular termination signals as a function of the +4 or +6 nucleotides correlates with how often they occur at natural termination sites in E.coli; strong signals occur more frequently and weak signals are less common.

Base Sequence↗
PubMed1996

TransTerm: a database of translational signals.

The TransTerm database of sequence contexts of stop and start codons has been expanded to include approximately 50% more species than last year's release. It now contains 148 organisms and >39 500 coding sequences; it is now available on the World Wide Web. The database includes: (i) initiation and termination sequence contexts organized by species; (ii) summary parameters about the individual sequences (sequence length, GC%, GC3, Nc, CAI) in addition to tables of base frequencies for each species' stop and start codon sequence context; (iii) species codon usage tables; and (iv) summary tables of stop signal frequency.

Animals↗
PubMed1996

The translational stop signal: codon with a context, or extended factor recognition element?

Wide ranging studies of the readthrough of translational stop codons within the last 25 years have suggested that the stop codon might be only part of the molecular signature for recognition of the termination signal. Such studies do not distinguish between effects on suppression and effects on termination, and so we have used a number of different approaches to deduce whether the stop signal is a codon with a context or an extended factor recognition element. A data base of natural termination sites from a wide range of organisms (148 organisms, approximately 40,000 sequences) shows a very marked bias in the bases surrounding the stop codon in the genes for all organisms examined, with the most dramatic bias in the base following the codon (+4). The nature of this base determines the efficiency of the stop signal in vivo, and in Escherichia coli this is reinforced by overexpressing the stimulatory factor, release factor 3. Strong signals, defined by their high relative rates of selecting the decoding release factors, are enhanced whereas weak signals respond relatively poorly. Site-directed cross-linking from the +1, and bases up to +6 but not beyond make close contact with the bacterial release factor-2. The translational stop signal is deduced to be an extended factor recognition sequence with a core element, rather than simply a factor recognition triplet codon influenced by context.

Base Sequence↗
PubMed1995

Translational termination efficiency in mammals is influenced by the base following the stop codon.

The base following stop codons in mammalian genes is strongly biased, suggesting that it might be important for the termination event. This proposal has been tested experimentally both in vivo by using the human type I iodothyronine deiodinase mRNA and the recoding event at the internal UGA codon and in vitro by measuring the ability of each of the 12 possible 4-base stop signals to direct the eukaryotic polypeptide release factor to release a model peptide, formylmethionine, from the ribosome. The internal UGA in the deiodinase mRNA is used as a codon for incorporation of selenocysteine into the protein. Changing the base following this UGA codon affected the ratio of termination to selenocysteine incorporation in vivo at this codon: 1:3 (C or U) and 3:1 (A or G). These UGAN sequences have the same order of efficiency of termination as was found with the in vitro termination assay (4th base: A approximately G >> C approximately U). The efficiency of in vitro termination varied in the same manner over a 70-fold range for the UAAN series and over an 8-fold range for the UGAN and UAGN series. There is a correlation between the strength of the signals and how frequently they occur at natural termination sites. Together these data suggest that the base following the stop codon influences translational termination efficiency as part of a larger termination signal in the expression of mammalian genes.

Animals↗
PubMed1994

The translational termination signal database (TransTerm) now also includes initiation contexts.

The TransTerm database of termination codon contexts has been extended to include sense codon usage, and initiation codon contexts. The database was constructed from 23,721 coding sequences from 93 organisms. The database contains: a) the sequence around the termination codon (-10, +10); b) the sequence around the initiation codon (-20, +10); c) the length, 'G+C%' of the third position of codons (GC3), the 'codon adaptation index' (CAI) and the 'effective number of codons' statistic (Nc); d) summary tables for each organism including total codon usage, stop codon and tetranucleotide stop-signal usage, and matrices tallying base frequencies at each position around the initiation and termination codons. The data are arranged to facilitate investigation of the relationships between the three phases of protein synthesis. The database is available electronically from EMBL.

Animals↗
PubMed1993

The translational termination signal database.

The Translational Termination Database (TransTerm) consists of the immediate context sequences around the natural termination codons from 45 organisms, and summary tables. The influence of termination codon context on their effectivness as stop signals has been widely documented. The SPECIES--TRI.DAT table shows trinucleotide stop codon usage in each organism and for comparison the occurrence of these sequences in the noncoding region. The SPECIES--TETRA.DAT table contains is a similar table of tetranucleotide stop signal usage. The database is available from EMBL.

Animals↗
PubMed1993

Mammalian polypeptide chain release factor and tryptophanyl-tRNA synthetase are distinct proteins.

A very high (approximately 90%) structural similarity exists between the bovine, human and murine tryptophanyl-tRNA synthetases (WRS), and quite unexpectedly the rabbit polypeptide chain release factor (eRF). This similarity may point to a very close resemblance or identity between these proteins involved in distinct steps of protein synthesis, or inadvertently to an incorrect assignment of the clone reported to encode eRF, since the structure of clones encoding WRS were confirmed by peptide sequencing. Using high resolution column chromatography and sucrose gradient centrifugation combined with assays for WRS and eRF activities, we show that functionally distinct WRS and eRF proteins can be completely separated from each other. Moreover, a putative anti-eRF monoclonal antibody appears incapable of immunoprecipitating the eRF activity or binding to protein(s) possessing eRF activity. This antibody binds to protein fractions which coincide in various separation procedures with rabbit WRS activity, and to pure bovine WRS. The protein expressed in Escherichia coli from the original cDNA clone initially reported to encode eRF, has WRS activity but not eRF activity. Resequencing of the fragment of the original rabbit cDNA demonstrates the presence of the previously overlooked HXGH motif typical of class I aminoacyl-tRNA synthetases. Consequently, mammalian WRS and eRF are different proteins, and the cDNA clone formerly assigned as encoding eRF encodes rabbit WRS.

Adenosine Triphosphate↗
PubMed1992

Proteolysis of bacteriophage phi X174 prohead accessory protein gpB by Escherichia coli OmpT protease is not essential for phage maturation in vivo.

To examine whether cleavage of the phi X174 prohead accessory protein, gpB, by the OmpT protease is required for phage development in vivo, a phage mutant lacking the OmpT cleavage site and an Escherichia coli C delta ompT strain were constructed. The results of burst size experiments suggest that neither the cleavage site nor the OmpT protein is required for phi X174 development.

Bacteriophage phi X 174↗
PubMedDate not supplied

Translational termination efficiency in both bacteria and mammals is regulated by the base following the stop codon.

The translational stop signal and polypeptide release factor (RF) complexed with Escherichia coli ribosomes have been shown to be in close physical contact by site-directed photochemical cross-linking experiments. The RF has a protease-sensitive site in a highly conserved exposed loop that is proposed to interact with the peptidyltransferase center of the ribosome. Loss of peptidyl-tRNA hydrolysis activity and enhanced codon-ribosome binding by the cleaved RF is consistent with a model whereby the RF spans the decoding and peptidyltransferase centers of the ribosome with domains of the RF linked by conformational coupling. The cross-link between the stop signal and RF at the ribosomal decoding site is influenced by the base following the termination codon. This base determines the efficiency with which the stop signal is decoded by the RF in both mammalian and bacterial systems in vivo. The wide range of efficiencies correlates with the frequency with which the signals occur at natural termination sites, with rarely used weak signals often found at recoding sites and strong signals found in highly expressed genes. Stop signals are found at some recoding sites in viruses where -1 frame-shifting occurs, but the generally accepted mechanism of simultaneous slippage from the A and P sites does not explain their presence here. The HIV-1 gag-pol-1 frame shifting site has been used to show that stop signals significantly influence frame-shifting efficiency on prokaryotic ribosomes by a RF-mediated mechanism. These data can be explained by an E/P site simultaneous slippage mechanism whereby the stop codon actually enters the ribosomal A site and can influence the event.

Animals↗