Structural basis of DNA recognition by p53 tetramers

The tumor-suppressor protein p53 is among the most effective of the cell's natural defenses against cancer. In response to cellular stress, p53 binds as a tetramer to diverse DNA targets containing two decameric half-sites, thereby activating the expression of genes involved in cell-cycle arrest or apoptosis. Here we present high-resolution crystal structures of sequence-specific complexes between the core domain of human p53 and different DNA half-sites. In all structures, four p53 molecules self-assemble on two DNA half-sites to form a tetramer that is a dimer of dimers, stabilized by protein-protein and base-stacking interactions. The protein-DNA interface varies as a function of the specific base sequence in correlation with the measured binding affinities of the complexes. The new data establish a structural framework for understanding the mechanisms of specificity, affinity, and cooperativity of DNA binding by p53 and suggest a model for its regulation by regions outside the sequence-specific DNA binding domain.     

Bias correction in the hierarchical likelihood approach to the analysis of multivariate survival data

Frailty models are useful for measuring unobserved heterogeneity in risk of failures across clusters, providing cluster-specific risk prediction. In a frailty model, the latent frailties shared by members within a cluster are assumed to act multiplicatively on the hazard function. In order to obtain parameter and frailty variate estimates, we consider the hierarchical likelihood (H-likelihood) approach (Ha, Lee and Song, 2001. Hierarchical-likelihood approach for frailty models. Biometrika 88, 233-243) in which the latent frailties are treated as "parameters" and estimated jointly with other parameters of interest. We find that the H-likelihood estimators perform well when the censoring rate is low, however, they are substantially biased when the censoring rate is moderate to high. In this paper, we propose a simple and easy-to-implement bias correction method for the H-likelihood estimators under a shared frailty model. We also extend the method to a multivariate frailty model, which incorporates complex dependence structure within clusters. We conduct an extensive simulation study and show that the proposed approach performs very well for censoring rates as high as 80%. We also illustrate the method with a breast cancer data set. Since the H-likelihood is the same as the penalized likelihood function, the proposed bias correction method is also applicable to the penalized likelihood estimators.     

Antigen-driven selection in germinal centers as reflected by the shape characteristics of immunoglobulin gene lineage trees: a large-scale simulation study

During the immune response, the generation of memory B lymphocytes in germinal centers involves affinity maturation of the cells’ antigen receptors, based on somatic hypermutation of receptor genes and antigen-driven selection of the resulting mutants. Affinity maturation is vital for immune protection, and is the basis of humoral immune learning and memory. Lineage trees of somatically hypermutated immunoglobulin genes often serve to qualitatively illustrate claims concerning the dynamics of affinity maturation in germinal centers. Here, we derive the quantitative relationships between parameters characterizing affinity maturation dynamics (proliferation, differentiation and mutation rates, initial affinity of the Ig to the antigen, and selection thresholds) and the mathematical properties of lineage trees, using a computer simulation which combines mathematical models for all mature B cell populations, stochastic models of hypermutation and selection, lineage tree generation and measurement of graphical tree characteristics. We identified seven key lineage tree properties, and found correlations of these with initial clone affinity and with the selection threshold. These two parameters were found to be the main factors affecting lineage tree shapes in both primary and secondary response trees. The results also confirm that recycling from centrocytes back to centroblasts is highly likely.     

A new UV-B absorbing mycosporine with photo protective activity from the lichenized ascomycete Collema cristatum.

A novel photo protective mycosporine was isolated from the lichenized ascomycete Collema cristatum. Biological activity was measured in terms of protection against UV-B induced membrane destruction and pyrimidine dimer formation in cultured human keratinocytes, and prevention of UV-B induced erythema. It was found that the pure isolated compound prevented UV-B induced cell destruction in a dose-dependent manner, that the compound partially prevented pyrimidine dimer formation and completely prevented UV-B induced erythema when applied to the skin prior to irradiation.     

Does the tube of a benthic chironomid larva play a role in protecting its dweller against chemical toxicants?

A laboratory culture of an Israeli benthic midge, Chironomus luridus, was exposed to two chemicals: copper and monochloramine. The objective of this study was to determine the protective nature of Chironomus' larval tube. Three experimental conditions were tested: larva with sand tubes, with silt tubes and without tubes. Larvae without tubes were significantly more sensitive to copper and chloramine than larvae that had sand or silt as tube building substrate. The tubes protected the insects against chemicals throughout 14 days of exposure time. Silt tubes had higher protective value than sand tubes, especially when exposed to copper for a short period of time (LC₅₀/ 24 h, with silt, sand, or none: 80.0, 7.0 and 3.4 mg l^–1 copper, respectively). C. luridus seemed to be better protected against copper than against chloramine (LC₅₀/ 24 h, with silt, sand, or none: 12.2, 6.4 and 3.7 mg l^–1 chloramine, respectively). The acute toxicity of copper to chironomid larvae was investigated using a cytochemical method. Larva in silt tubes had significantly higher non-specific esterase activity in midgut cells than larvae without tubes. We conclude that, in addition to its role in feeding, respiration and anti-predation shelter, the C. luridus tube protects its inhabitant from toxic substances.     

Function of Cancer Associated Genes Revealed by Modern Univariate and Multivariate Association Tests

Copy number variation (CNV) plays a role in pathogenesis of many human diseases, especially cancer. Several whole genome CNV association studies have been performed for the purpose of identifying cancer associated CNVs. Here we undertook a novel approach to whole genome CNV analysis, with the goal being identification of associations between CNV of different genes (CNV-CNV) across 60 human cancer cell lines. We hypothesize that these associations point to the roles of the associated genes in cancer, and can be indicators of their position in gene networks of cancer-driving processes. Recent studies show that gene associations are often non-linear and non-monotone. In order to obtain a more complete picture of all CNV associations, we performed omnibus univariate analysis by utilizing dCov, MIC, and HHG association tests, which are capable of detecting any type of association, including non-monotone relationships. For comparison we used Spearman and Pearson association tests, which detect only linear or monotone relationships. Application of dCov, MIC and HHG tests resulted in identification of twice as many associations compared to those found by Spearman and Pearson alone. Interestingly, most of the new associations were detected by the HHG test. Next, we utilized dCov''s and HHG''s ability to perform multivariate analysis. We tested for association between genes of unknown function and known cancer-related pathways. Our results indicate that multivariate analysis is much more effective than univariate analysis for the purpose of ascribing biological roles to genes of unknown function. We conclude that a combination of multivariate and univariate omnibus association tests can reveal significant information about gene networks of disease-driving processes. These methods can be applied to any large gene or pathway dataset, allowing more comprehensive analysis of biological processes.     

Porphyra-334, a potential natural source for UVA protective sunscreens.

The mycosporine-like amino acid (MAA), porphyra-334 (lambda(max) = 334 nm; epsilon = 42,300 M(-1) cm(-1)), was isolated from the aquatic cyanobacterium Aphanizomenon flos-aquae (AFA) and its structure was verified by spectroscopic methods. The UVA absorption properties of the crude methanolic extract were determined against two commercial sun care products in terms of mean critical wavelength, mean UVA/UVB ratios and UVA protection category (Boots the Chemists, Ltd.). The crude methanolic extract from AFA exhibited maximum UVA protection comparable to that determined for Boots SPF 4.     

Regulation of homoserine dehydrogenase inAzotobacter species

The regulation of homoserine dehydrogenase activity was studied in nineAzotobacter strains belonging to five different species. In all the species the enzyme is subject to feedback inhibition byl-threonine andl-isoleucine, the first being much more active as inhibitor. The inhibition byl-threonine is noncompetitive with respect to NADPH and of mixed type with respect to aspartate-Β-semialdehyde; the inhibition byl-isoleucine is noncompetitive with respect to both substrates. The synthesis of homoserine dehydrogenase inAzotobacter chroococcum I.P. is somewhat repressed by 1mm l-methionine and 5mm l-isoleucine. In all the strains examined either NADPH or NADH can serve as cofactors for this activity, though the ratio of activity with the two pyridine nucleotides (NADPH/NADH) shows higher values (3.3–3.8) in the speciesmacrocytogenes andinsignis than in thechroococcum, beijerinckii andvinelandii group (1.5–1.6). The pattern of control of this enzyme in the genusAzotobacter is discussed in relation to other bacterial homoserine dehydrogenases. We are grateful to Dr. G. N. Cohen, Service de Physiologie Microbienne, Institut Pasteur, Paris, for helpful discussions and encouragements.     

Linear measurement error models with restricted sampling

The relationship between nutrient consumption and chronic disease risk is the focus of a large number of epidemiological studies where food frequency questionnaires (FFQ) and food records are commonly used to assess dietary intake. However, these self-assessment tools are known to involve substantial random error for most nutrients, and probably important systematic error as well. Study subject selection in dietary intervention studies is sometimes conducted in two stages. At the first stage, FFQ-measured dietary intakes are observed and at the second stage another instrument, such as a 4-day food record, is administered only to participants who have fulfilled a prespecified criterion that is based on the baseline FFQ-measured dietary intake (e.g., only those reporting percent energy intake from fat above a prespecified quantity). Performing analysis without adjusting for this truncated sample design and for the measurement error in the nutrient consumption assessments will usually provide biased estimates for the population parameters. In this work we provide a general statistical analysis technique for such data with the classical additive measurement error that corrects for the two sources of bias. The proposed technique is based on multiple imputation for longitudinal data. Results of a simulation study along with a sensitivity analysis are presented, showing the performance of the proposed method under a simple linear regression model.