Molecular basis of L-rhamnose branch formation in streptococcal coaggregation receptor polysaccharides

The presence of L-rhamnose (Rha) branches in the coaggregation receptor polysaccharides (RPS) of Streptococcus gordonii 38 and Streptococcus oralis J22 was eliminated by replacement of wefB with ermAM in these strains. The expression of this gene in S. oralis 34 did not, however, result in the addition of Rha branches to the linear RPS of this strain, which is identical to that produced by the wefB-deficient mutant of S. gordonii 38. This paradoxical finding was explained by a subtle difference in acceptor specificity of the galactose-1-phosphotransferases encoded by downstream wefC in S. gordonii 38 and wefH in S. oralis 34. These genes were distinguished by the unique ability of WefC to act on the branched acceptor formed by the action of WefB.     

Design and synthesis of potent and subtype-selective PPARalpha agonists

Beginning with a moderately potent PPARgamma agonist 9, a series of potent and highly subtype-selective PPARalpha agonists was identified through a systematic SAR study. Based on the results of the efficacy studies in the hamster and dog models of dyslipidemia and the desired pharmacokinetic data, the optimized compound 39 was selected for further profiling.     

Efficient Semiparametric Marginal Estimation for the Partially Linear Additive Model for Longitudinal/Clustered Data

We consider the efficient estimation of a regression parameter in a partially linear additive nonparametric regression model from repeated measures data when the covariates are multivariate. To date, while there is some literature in the scalar covariate case, the problem has not been addressed in the multivariate additive model case. Ours represents a first contribution in this direction. As part of this work, we first describe the behavior of nonparametric estimators for additive models with repeated measures when the underlying model is not additive. These results are critical when one considers variants of the basic additive model. We apply them to the partially linear additive repeated-measures model, deriving an explicit consistent estimator of the parametric component; if the errors are in addition Gaussian, the estimator is semiparametric efficient. We also apply our basic methods to a unique testing problem that arises in genetic epidemiology; in combination with a projection argument we develop an efficient and easily computed testing scheme. Simulations and an empirical example from nutritional epidemiology illustrate our methods.     

Identifying Relationships among Genomic Disease Regions: Predicting Genes at Pathogenic SNP Associations and Rare Deletions

Translating a set of disease regions into insight about pathogenic mechanisms requires not only the ability to identify the key disease genes within them, but also the biological relationships among those key genes. Here we describe a statistical method, Gene Relationships Among Implicated Loci (GRAIL), that takes a list of disease regions and automatically assesses the degree of relatedness of implicated genes using 250,000 PubMed abstracts. We first evaluated GRAIL by assessing its ability to identify subsets of highly related genes in common pathways from validated lipid and height SNP associations from recent genome-wide studies. We then tested GRAIL, by assessing its ability to separate true disease regions from many false positive disease regions in two separate practical applications in human genetics. First, we took 74 nominally associated Crohn''s disease SNPs and applied GRAIL to identify a subset of 13 SNPs with highly related genes. Of these, ten convincingly validated in follow-up genotyping; genotyping results for the remaining three were inconclusive. Next, we applied GRAIL to 165 rare deletion events seen in schizophrenia cases (less than one-third of which are contributing to disease risk). We demonstrate that GRAIL is able to identify a subset of 16 deletions containing highly related genes; many of these genes are expressed in the central nervous system and play a role in neuronal synapses. GRAIL offers a statistically robust approach to identifying functionally related genes from across multiple disease regions—that likely represent key disease pathways. An online version of this method is available for public use (http://www.broad.mit.edu/mpg/grail/).     

3'-N-Alkylamino-3'-deoxy-ara-uridines: a new class of potential inhibitors of ribonuclease A and angiogenin

In this study, we report the inhibition of ribonuclease A (RNase A) by certain aminonucleosides. This is the first such instance of the use of this group of compounds to investigate the inhibitory activity of this protein. The compounds synthesized have been tested for their ability to inhibit the ribonucleolytic activity of RNase A by an agarose gel-based assay. A tRNA precipitation assay and inhibition kinetic studies with cytidine 2',3'-cyclic monophosphate as the substrate have also been conducted for two of the compounds. Results indicate substantial inhibitory activity with inhibition association constants in the micromolar range. The experimental studies have been substantiated by docking of the aminonucleoside ligands to RNase A using AutoDock. We find that the ligands preferentially bind to the active site of the protein molecule with a favorable free energy of binding. The study has been extended to a member of the ribonuclease superfamily, angiogenin, which is a potent inducer of blood vessel formation. We show that the aminonucleosides act as potent inhibitors of angiogenin induced angiogenesis.     

Gene prioritization through genomic data fusion

The identification of genes involved in health and disease remains a challenge. We describe a bioinformatics approach, together with a freely accessible, interactive and flexible software termed Endeavour, to prioritize candidate genes underlying biological processes or diseases, based on their similarity to known genes involved in these phenomena. Unlike previous approaches, ours generates distinct prioritizations for multiple heterogeneous data sources, which are then integrated, or fused, into a global ranking using order statistics. In addition, it offers the flexibility of including additional data sources. Validation of our approach revealed it was able to efficiently prioritize 627 genes in disease data sets and 76 genes in biological pathway sets, identify candidates of 16 mono- or polygenic diseases, and discover regulatory genes of myeloid differentiation. Furthermore, the approach identified a novel gene involved in craniofacial development from a 2-Mb chromosomal region, deleted in some patients with DiGeorge-like birth defects. The approach described here offers an alternative integrative method for gene discovery.     

An intersubunit disulfide bond prevents in vitro aggregation of a superoxide dismutase-1 mutant linked to familial amytrophic lateral sclerosis

Familial amyotrophic lateral sclerosis (FALS) is linked to over 90 point mutations in superoxide dismutase-1 (SOD1), a dimeric metalloenzyme. The postmortem FALS brain is characterized by SOD1 inclusions in the motor neurons of regions in which neuronal loss is most significant. These findings, together with animal modeling studies, suggest that aggregation of mutant SOD1 produces a pathogenic species. We demonstrate here that a mutant form of SOD1 (A4V) that is linked to a particularly aggressive form of FALS aggregates in vitro, while wild-type SOD1 (WT) is stable. Some A4V aggregates resemble amyloid pores formed by other disease-associated proteins. The WT dimer is significantly more stable than the A4V dimer, suggesting that dimer dissociation may be the required first step of aggregation. To test this hypothesis, an intersubunit disulfide bond between symmetry-related residues at the A4V dimer interface was introduced. The resultant disulfide bond (V148C-V148C') eliminated the concentration-dependent loss of enzymatic activity of A4V, stabilized the A4V dimer, and completely abolished aggregation. A drug-like molecule that could stabilize the A4V dimer could slow the onset and progression of FALS.     

5-Aryl thiazolidine-2,4-diones as selective PPARgamma agonists

A series of 5-aryl thiazolidine-2,4-diones containing 4-phenoxyphenyl side chains was designed, synthesized, and evaluated for PPAR agonist activities. One such compound 28 exhibited comparable levels of glucose correction to rosiglitazone in the db/db mouse type 2 diabetes animal model.