Search PubMed⌕ Search

Biomedical subjects

S Wold

Publications and source records attributed to S Wold.

At least 19 recordsLinked to original sources
PubMed1996

The Escherichia coli Fis protein prevents initiation of DNA replication from oriC in vitro.

Fis protein participates in the normal control of chromosomal replication in Escherichia coli. However, the mechanism by which it executes its effect is largely unknown. We demonstrate an inhibitory influence of purified Fis protein on replication from oriC in vitro. Fis inhibits DNA synthesis equally well in replication systems either dependent upon or independent of RNA polymerase, even when the latter is stimulated by the presence of HU or IHF. The extent of inhibition by Fis is modulated by the concentrations of DnaA protein and RNA polymerase; the more limiting the amounts of these, the more severe the inhibition by Fis. Thus, the level of inhibition seems to depend on the ease with which the open complex can be formed. Fis-mediated inhibition of DNA replication does not depend on a functional primary Fis binding site between DnaA boxes R2 and R3 in oriC, as mutations that cause reduced binding of Fis to this site do not affect the degree of inhibition. The data presented suggest that Fis prevents formation of an initiation-proficient structure at oriC by forming an alternative, initiation-preventive complex. This indicates a negative role for Fis in the regulation of replication initiation.

Bacterial Proteins↗
PubMed1995

E. coli SeqA protein binds oriC in two different methyl-modulated reactions appropriate to its roles in DNA replication initiation and origin sequestration.

The seqA gene negatively modulates replication initiation at the E. coli origin, oriC. seqA is also essential for sequestration, which acts at oriC and the dnaA promoter to ensure that replication initiation occurs exactly once per chromosome per cell cycle. Initiation is promoted by full methylation of GATC sites clustered in oriC; sequestration is specific to the hemimethylated forms generated by replication. SeqA protein purification and DNA binding are described. SeqA interacts with fully methylated oriC strongly and specifically. This reaction requires multiple molecules of SeqA and determinants throughout oriC, including segments involved in open complex formation. SeqA interacts more strongly with hemimethylated DNA; in this case, oriC and non-oriC sequences are bound similarly. Also, binding of hemimethylated oriC by membrane fractions is due to SeqA. Direct interaction of SeqA protein with the replication origin is likely to be involved in both replication initiation and sequestration.

Bacterial Outer Membrane Proteins↗
PubMed1995

The speed of the Escherichia coli fork in vivo depends on the DnaB:DnaC ratio.

The DnaC protein is required for loading the DnaB helicase at oriC. Thus DnaC promotes the formation of the pre-replication complex, but must leave the complex in order for the DnaB protein to function as a helicase. In vitro, a slight excess of DnaC inhibits the movement of replication forks by inhibiting DnaB helicase activity (Allen and Kornberg, 1991). Here we show that inhibition of DNA replication by excess DnaC also occurs in vivo. The rate of replication-fork movement was measured by flow cytometry. Initiation of replication was inhibited with rifampicin and the rate of fork movement monitored during replication runout by measuring the increase in the fraction of the cell population with fully replicated chromosomes. The replication rate was inversely related to the amount of excess DnaC protein. Initiation of replication was also inhibited. Co-overexpression of DnaB protein alleviated the inhibition of replication caused by moderate excess of DnaC. The results show that DnaC interacts with replication forks during elongation in vivo, probably by binding to DnaB and inhibiting its helicase activity. Therefore, the ratio of DnaC to DnaB and the affinity of DnaC for a helicase hexamer at an established replication fork are of great importance for the rate of replication fork movement also in vivo.

Arabinose↗
PubMed1994

The initiation mass for DNA replication in Escherichia coli K-12 is dependent on growth rate.

It is widely accepted that the initiation mass of Escherichia coli is constant and independent of growth rate, and therefore is an important parameter in the regulation of initiation of DNA replication. We have used flow cytometry to measure the initiation mass of E. coli K-12 cells as a function of growth rate. The average initiation mass was determined by two methods: (i) from a mathematical relationship between average cell mass, cell age at initiation and number of origins present in the cells, and (ii) directly from the cell mass distribution. The light scattering signal from individual cells and the protein content per cell were employed as measures of cell mass. The initiation mass was found to increase monotonically with decreasing growth rate, being 1.6 times higher (light scattering) or 2.1 times higher (protein content) at 0.3 than at 2.5 doublings per hour. We conclude that the initiation mass is dependent on growth rate. This finding indicates that the control for timing of initiation is not governed by a direct connection between mass accumulation and the molecule(s) determining initiation of replication.

Cell Division↗
PubMed1993

Quantitative sequence-activity models (QSAM)--tools for sequence design.

Models have been developed that allow the biological activity of a DNA segment to be altered in a desired direction. Partial least squares projections to latent structures (PLS) was used to establish a quantitative model between a numerical description of 68 bp fragments of 25 E.coli promoters and their corresponding quantitative measure of in vivo strength. This quantitative sequence-activity model (QSAM) was used to generate two 68 bp fragments predicted to be more potent promoters than any of those on which the model originally was based. The optimized structures were experimentally verified to be strong promoters in vivo.

Base Composition↗
PubMed1992

Chemical purity and mutagenicity: case study of a drug in development.

During a routine Ames assay of a potential antipsychotic drug candidate, the compound appeared to be a frameshift mutagen in Salmonella typhimurium strains TA98 and TA1538. Additional testing indicated the mutagenic activity was due to one or more contaminants incurred during synthesis. While the compound was initially shown to be greater than 98% pure by high-performance liquid chromatography, the presence of small amounts (0.01-0.1%) of a highly mutagenic impurity produced positive mutagenicity results. The need to assess for chemical purity before discontinuing development of drug candidates found positive in the Ames assay is discussed.

Aminoquinolines↗
PubMed1991

Chemometrics, why, what and where to next?

The advantages of the application of chemometrics in pharmaceutical and biomedical analysis are discussed. Some chemometric approaches are described and the requirement for validation emphasized. Finally, possible future developments of chemometrics are assessed.

Biometry↗
PubMed1991

Interpreting complicated chromatographic patterns.

GC-MS, HPLC, automatic amino acid analysis, high-resolution two-dimensional electrophoresis and capillary electrophoresis are suitable for the multicomponent analysis of body fluids and tissues. Manual interpretation of the complex metabolite and protein profiles thereby obtained is usually difficult, except in the case of metabolic disorders, where major deviations from the normal profiles often are observed. Implementation of multivariate data analysis makes it possible to retrieve diagnostic information that otherwise may be overlooked, as shown in this report where patients with leprosy have been examined. Urine samples were analysed by ion-exchange chromatography and by GC-MS to obtain profiles of amino acids and organic acids. Qualitative and quantitative information on 68 metabolites were then analysed by principal components analysis (PCA) and by partial least square models (PLS). Three different PLS dimensions were found (cross-validation) corresponding to controls (persons without leprosy), paucibacillary and multibacillary leprosy.

Amino Acids↗
PubMed1991

Minimum analogue peptide sets (MAPS) for quantitative structure-activity relationships.

The information contents in previously published peptide sets was compared with smaller sets of peptides selected according to statistical designs. It was found that minimum analogue peptide sets (MAPS) constructed by factorial or fractional factorial designs in physiochemical properties contained substantial structure-activity information. Although five to six times smaller than the originally published peptide sets the MAPS resulted in QSAR models able to predict biological activity. The QSARs derived from a MAPS of nine dipeptides, and from a set of 58 dipeptides inhibiting angiotensin converting enzyme were compared and found to be of equal strength. Furthermore, for a set of bitter tasting dipeptides it was found that an incomplete MAPS of 10 dipeptides gave just as good a model as the model based on a set of 48 dipeptides. By comparison other non-designed sets of peptides gave QSARs with poor predictive power. It was also demonstrated how MAPS centered on a lead peptide can be constructed as to specifically explore the physiochemical and biological properties in the vicinity of the lead. It was concluded that small information-rich peptide sets MAPS can be constructed on the basis of statistical designs with principal properties of amino acids as design variables.

Amino Acid Sequence↗
PubMed1991

A multivariate representation and analysis of DNA sequence data.

A new way to represent and analyze DNA sequence data is described. This approach complements methods currently used, in that it allows the systematic part of the variation between different sequences to be modeled. This can prove as informative as absence of variation (homology), which is the most widely used criterion for comparing sequence data. A multivariate sequence-activity model (SAM), for DNA-promoter sequences is presented, by which the relative promoter strength is modeled in terms of the primary DNA-sequence. The model is shown to have a good predictive capability. The coefficients from the model are interpreted, and used to design new structures predicted to be strong promoters in the system investigated. The approach described is also applicable to other kinds of sequence data, e.g. RNAs, proteins or peptides.

Base Sequence↗
PubMed1991

A strategy for ranking environmentally occurring chemicals. Part VI. QSARs for the mutagenic effects of halogenated aliphatics.

A strategy for the systematic analysis and priority ranking of environmental chemicals has been applied to a class of 58 halogenated aliphatic hydrocarbons. A training set of ten compounds representing this class, was selected by statistical design. The training set compounds were then subjected to biological testing in the Salmonella typhimurium reverse mutation assay (Ames test). The measured biological data, recorded as dose-response curves, were analyzed to determine the mutagenic potency (slope of the initial portion) and the mutagen dose (MD 50) required to increase the number of revertants above the background by 50%. For each compound, four mutagenic potency estimates and four MD 50 values were determined, all originating from the tester strains TA 100 and TA 1535 with and without metabolic activation. The obtained responses were analyzed with multivariate techniques to give QSAR models relating the mutagenic potency data to the physico-chemical properties of the compounds. Finally, the derived QSARs were used to predict the mutagenic potencies and the MD 50S for the non-tested compounds in the class.

Chemical Phenomena↗
PubMed1990

Peptide QSAR on substance P analogues, enkephalins and bradykinins containing L- and D-amino acids.

Peptide QSARs are constructed for substance P analogues, enkephalins (two examples) and bradykinins containing both L- and D-amino acids. As descriptors in the QSARs, the previously developed descriptors z1 (hydrophobicity), z2 (bulk) and z3 (electronic effect) are used together with a qualitative variable coding for variation in chirality. Two parametrizations of the peptide sequences are tested. In the first no chiral description is used at all, and in the second chirality is described by the qualitative variable. It is concluded that for the current series of peptides, the biological response to variation in amino acid sequence and chirality can be modelled.

Amino Acid Sequence↗
PubMed1989

A multivariate approach to saccharide quantitative structure-activity relationships exemplified by two series of 9-hydroxyellipticine glycosides.

Multivariate saccharide quantitative structure-activity relationships (QSARs) have been developed for two series of 9-hydroxyellipticine glycosides. In order to describe the structural variation of the glycoside moieties, thirteen chromatographic variables were used. Eleven D-glycosides and seven L-glycosides were used in separate QSARs to model 9-hydroxyellipticine glycoside antitumour activity against L 1210 leukemia. The multivariate partial least squares (PLS) method was used to establish the QSARs.

Animals↗