Making the most of affinity tags

Proteins do not naturally lend themselves to high-throughput analysis because of their diverse physiochemical properties. Consequently, affinity tags have become indispensable tools for structural and functional proteomics initiatives. Although originally developed to facilitate the detection and purification of recombinant proteins, in recent years it has become clear that affinity tags can have a positive impact on the yield, solubility and even the folding of their fusion partners. However, no single affinity tag is optimal with respect to all of these parameters; each has its strengths and weaknesses. Therefore, combinatorial tagging might be the only way to harness the full potential of affinity tags in a high-throughput setting.     

Making the most of high-throughput protein-interaction data

We review the estimation of coverage and error rate in high-throughput protein-protein interaction datasets and argue that reports of the low quality of such data are to a substantial extent based on misinterpretations. Probabilistic statistical models and methods can be used to estimate properties of interest and to make the best use of the available data.     

Making the most of 'omics' for crop breeding

Adoption of new breeding technologies is likely to underpin future gains in crop productivity. The rapid advances in 'omics' technologies provide an opportunity to generate new datasets for crop species. Integration of genome and functional omics data with genetic and phenotypic information is leading to the identification of genes and pathways responsible for important agronomic phenotypes. In addition, high-throughput genotyping technologies enable the screening of large germplasm collections to identify novel alleles from diverse sources, thus offering a major expansion in the variation available for breeding. In this review, we discuss these advances, which have opened the door to new techniques for construction and screening of breeding populations, to increase ultimately the efficiency of selection and accelerate the rates of genetic gain.     

Interactions between metal ions and carbohydrates: the coordination behavior of neutral erythritol to transition metal ions

The single crystals of coordinated complexes of neutral erythritol (C4H10O4) with various transition metal ions were synthesized and studied using FT-IR and single crystal X-ray diffraction analysis. Two CuCl2-erythritol complexes (denoted as CuE(I) and CuE(II)) were obtained. In CuE(I), Cu2+ coordinates with two chloride ions and four OH groups from two erythritol molecules. Two copper centers are linked by one erythritol molecule to form a zigzag chain. For CuE(II), each Cu2+ coordinates with two OH groups from an erythritol molecule and two chloride ions. The crystal of CuE(II) contains complexed and free erythritol, the dimers of [Cu2Cl4(C4H10O4)] further form a [Cu2Cl4(C4H10O4)]infinity chain via secondary Cu...Cl bonds, both the dimer unit of [Cu2Cl4.(C4H10O4)] and non-coordinated C4H10O4 unit exist side by side in the crystal. MnCl2-erythritol complex whose structure is similar to CuE(I) is also acquired. The OH groups of erythritol act as ligand to coordinate to metal ions on one hand, one the other hand, OH groups form hydrogen bonds network that link chain and layer together to build three-dimensional structures.     

Roles of metal ions in nucleases

The hydrolysis of phosphodiester bonds by metallonucleases is crucial to most aspects of nucleic acid processing. In recent years, studies of the classical restriction endonucleases have given way to the characterization of metallonucleases with widely divergent active site motifs. These developments fuel debates regarding the roles of metal ions in these enzymes. It is fortuitous that the current literature also includes the increased application of a variety of computational techniques to test the roles of metal ions in nucleic acid hydrolysis by these systems. This includes recent proposals and indirect evidence that these enzymes utilize metal ion movement in these reactions.     

Biosorption of metal ions byAzotobacter vinelandii

Azotobacter vinelandii was better than eitherDerxia gummosa orRhizobium trifolii for sorption of UO ₂ ²⁺ . Its maximum binding capacity was 0.25 mmol UO ₂ ²⁺ /g dry biomass with an affinity constant of 333 l/mmol at pH 4.1 according to the Langmuir model. In a semisynthetic medium,A. vinelandii showed the highest sorption capacity in the early stationary phase. The binding of UO ₂ ²⁺ , Cu²⁺, Ca²⁺ and Zn²⁺ was affected by the pH of the solution. With HCl as eluent, virtually all the sorbed UO ₂ ²⁺ was released. The presence of Cu²⁺, Cd²⁺, Ca²⁺, and Zn²⁺ inhibited the UO ₂ ²⁺ biosorption whereas Mg²⁺ and K⁺ had no effect.     

Formation of gels in the presence of metal ions

A small library of stereoisomeric pseudopeptides able to make gels in different solvents has been prepared and their attitude to make gels in the presence of several metal ions was evaluated. Four benzyl esters and four carboxylic acids, all containing a moiety of azelaic acid (a long chain dicarboxylic acid) coupled with four different pseudopeptide moieties sharing the same skeleton (a phenyl group one atom apart from the oxazolidin-2-one carboxylic group), were synthesized in solution, by standard coupling reaction. The tendency of these pseudopeptides to form gels was evaluated using the inversion test of 10 mM solutions of pure compounds and of stoichiometric mixtures of pseudopeptides and metal ions. To obtain additional information on the molecular association, the gel samples were left dry in the air to form xerogels that were further analyzed using SEM and XRD. The formation of gel containing Zn(II) or Cu(II) ions gave good results in term of incorporation of the metal ions, while the presence of Cu(I), Al(III) and Mg(II) gave less satisfactory results. This outcome is a first insight in the formation of stable LMWGs formed by stoichiometric mixtures of pseudopeptides and metal ions. Further studies will be carried out to develop similar compounds of pharmacological interest.     

Effect of metal ions on the rearrangement of dopachrome

In vitro experiments are reported showing that a number of transition metal ions exert a profound influence on both the kinetics and chemical course of the rearrangement of dopachrome, a key step in the biosynthesis of melanins. HPLC analysis shows that Cu2+, Ni2+ and Co2+ are particularly effective in inducing the non-decarboxylative rearrangement of dopachrome at physiological pH values, leading mainly to 5,6-dihydroxyindole-2-carboxylic acid, whereas in the absence of metal ions the reaction proceeds with concomitant loss of carbon dioxide to give almost exclusively 5,6-dihydroxyindole. Kinetic experiments provide evidence that the rate of the metal-promoted rearrangement is first order with respect to both aminochrome and metal concentration and decreases in the presence of increasing concentrations of EDTA, consistent with a mechanism involving a direct 1:1 dopachrome-metal ion interaction in the transition state. When considered in the light of the known metal accumulation in pigmented tissues, the results of this study provide a new entry into the regulatory mechanisms involved in the biosynthesis of melanins.     

Making the most of a patient's laboratory data: optimisation of signal-to-noise ratio

All results in laboratory medicine are compared to some reference for interpretation. This reference may be a previous result from the same patient, a reference population--either healthy or diseased, or both--or a decision limit recommended by an expert group. The aim for the medical laboratory is to improve the signal-to-noise ratio by increasing the signal or reducing the noise. This presentation deals with the more general tools for reduction of the noise component, and focuses on biological within-subject variation, reference intervals and decision models. Regarding biological within-subject variation, the estimation of reference change value (RCV) as a yardstick for judging measured differences within the patient over time is an important tool. Here, only type 1 errors are usually applied, but type 2 errors should also be taken into consideration. Moreover, variance homogeneity is assumed for the application of RCV, but this assumption is not always fulfilled, and erroneous interpretations may be introduced. A tool for comparison of different and more complicated algorithms applied to serial measurements is computer simulation (e.g. on data from tumour markers). In order to reduce the noise component from reference intervals, partitioning according to relevant subgroups is a tool, and useful criteria for judging whether subgroups should be combined are reported. Geographical and racial differences may cause different reference distributions (e.g. plasma proteins), but it has been possible to establish common reference intervals for 25 common components in Caucasians in the five Nordic countries. Transformation of data and presentation of accumulated ranked values in rankit plots where Gaussian (or log-Gaussian) distributions show up as straight lines is a valuable tool for interpretation of the distributions and comparison of subgroups. In this way it is often possible to isolate a low-risk group which fits a log-Gaussian distribution. In case of thyroid autoantibodies the distributions look biphasic, even after all possible rule-out criteria have been exhausted, but a composite model makes it possible to extract a reference population from the mixture. The classical decision model is bimodal, reflecting an assumption of two independent but overlapping distributions, with a clear but unknown prevalence for the disease. When a decision limit (cut-off point) is applied, the percentages of false positive and false negative results will be determined, but the underlying prevalence is unchanged. In contrast to this, the unimodal distributions cover a continuum of probabilities for a certain disease (risk) and the decision limit is arbitrarily chosen. Thus, the disease or risk is defined by the measured component. Consequently, the decision limit directly defines the prevalence, and this limit can be different over time and geography as has been the case for cholesterol or glucose.     

Antibody-based sensors for heavy metal ions

Competitive immunoassays for Cd(II), Co(II), Pb(II) and U(VI) were developed using identical reagents in two different assay formats, a competitive microwell format and an immunosensor format with the KinExA™ 3000. Four different monoclonal antibodies specific for complexes of EDTA–Cd(II), DTPA–Co(II), 2,9-dicarboxyl-1,10-phenanthroline–U(VI), or cyclohexyl–DTPA–Pb(II) were incubated with the appropriate soluble metal–chelate complex. In the microwell assay format, the immobilized version of the metal–chelate complex was present simultaneously in the assay mixture. In the KinExA format, the antibody was allowed to pre-equilibrate with the soluble metal-chelate complex, then the incubation mixture was rapidly passed through a microcolumn containing the immobilized metal-chelate complex. In all four assays, the KinExA format yielded an assay with 10–1000-fold greater sensitivity. The enhanced sensitivity of the KinExA format is most likely due to the differences in the affinity of the monoclonal antibodies for the soluble versus the immobilized metal–chelate complex. The KinExA 3000 instrument and the Cd(II)-specific antibody were used to construct a prototype assay that could correctly assess the concentration of cadmium spiked into a groundwater sample. Mean analytical recovery of added Cd(II) was 114.25±11.37%. The precision of the assay was satisfactory; coefficients of variation were 0.81–7.77% and 3.62–14.16% for within run and between run precision, respectively.