X-ray crystal structure of human dopamine sulfotransferase, SULT1A3. Molecular modeling and quantitative structure-activity relationship analysis demonstrate a molecular basis for sulfotransferase substrate specificity

Humans are one of the few species that produce large amounts of catecholamine sulfates, and they have evolved a specific sulfotransferase, SULT1A3 (M-PST), to catalyze the formation of these conjugates. An orthologous protein has yet to be found in other species. To further our understanding of the molecular basis for the unique substrate selectivity of this enzyme, we have solved the crystal structure of human SULT1A3, complexed with 3'-phosphoadenosine 5'-phosphate (PAP), at 2.5 A resolution and carried out quantitative structure-activity relationship (QSAR) analysis with a series of phenols and catechols. SULT1A3 adopts a similar fold to mouse estrogen sulfotransferase, with a central five-stranded beta-sheet surrounded by alpha-helices. SULT1A3 is a dimer in solution but crystallized with a monomer in the asymmetric unit of the cell, although dimer interfaces were formed by interaction across crystallographic 2-fold axes. QSAR analysis revealed that the enzyme is highly selective for catechols, and catecholamines in particular, and that hydrogen bonding groups and lipophilicity (cLogD) strongly influenced K(m). We also investigated further the role of Glu(146) in SULT1A3 using site-directed mutagenesis and showed that it plays a key role not only in defining selectivity for dopamine but also in preventing many phenolic xenobiotics from binding to the enzyme.     

Effects of protein deficient diets on the developmental toxicity of inorganic arsenic in mice

BACKGROUND: Inorganic arsenic, when given by injection to pregnant laboratory animals (mice, rats, hamsters), has been shown to induce malformations. Arsenic methylation may be a detoxification step, and diets deficient in protein are a poor source of methyl donors and may possibly result in impaired arsenic methylation. Human health effects from chronic arsenic exposure have been reported mainly in populations with low socioeconomic status. Individuals in such populations are likely to suffer from malnutrition, which can compromise embryonic/fetal development and diminish arsenic methylating capacity. We sought to determine if dietary protein deficiency affects the developmental toxicity of inorganic arsenic. METHODS: Mated females were randomly assigned to one of 12 treatment groups. Experimental groups received either AsIII or AsV i.p. on Gestation Day 8 (GD 8, plug=GD 0) and were maintained on a 5%, 10%, or 20% protein custom mixed diet from GD 1 until sacrifice. Controls received the custom diets alone, were given AsIII or AsV i.p. on GD 8 with Teklad LM-485 rodent diet, or were fed the LM-485 diet alone. Test females were sacrificed on GD 17, and their litters were examined for mortality and developmental defects. RESULTS: Arsenic plus dietary protein deficiency decreased maternal weight gain and increased the incidences of exencephaly, ablepharia, and skeletal defects, such as malformed vertebral centra, fused ribs, and abnormal sternebrae (bipartite, rudimentary, or unossified). CONCLUSIONS: These results demonstrate that dietary protein deficiency enhances the developmental toxicity of inorganic arsenic, possibly by impairment of arsenic methylation.     

POSaM: a fast,flexible, open-source,inkjet oligonucleotide synthesizer and microarrayer

DNA arrays are valuable tools in molecular biology laboratories. Their rapid acceptance was aided by the release of plans for a pin-spotting microarrayer by researchers at Stanford. Inkjet microarraying is a flexible, complementary technique that allows the synthesis of arrays of any oligonucleotide sequences de novo. We describe here an open-source inkjet arrayer capable of rapidly producing sets of unique 9,800-feature arrays.     

Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine

The emergence of systems biology is bringing forth a new set of challenges for advancing science and technology. Defining ways of studying biological systems on a global level, integrating large and disparate data types, and dealing with the infrastructural changes necessary to carry out systems biology, are just a few of the extraordinary tasks of this growing discipline. Despite these challenges, the impact of systems biology will be far-reaching, and significant progress has already been made. Moving forward, the issue of how to use systems biology to improve the health of individuals must be a priority. It is becoming increasingly apparent that the field of systems biology and one of its important disciplines, proteomics, will have a major role in creating a predictive, preventative, and personalized approach to medicine. In this review, we define systems biology, discuss the current capabilities of proteomics and highlight some of the necessary milestones for moving systems biology and proteomics into mainstream health care.