Immunoaffinity purification and quantitation of a rat protein similar to the human decidua-associated protein (hDP) 71

The role of human decidua-associated protein (hDP) 71, copurified consistently with hDP 200, identified as rheumatoid factor, remains undetermined. The possibility of using a rat as an experimental model for the further research of hDp 71, was examined. A rat protein, similar to the hDp 71, was immunoaffinity purified using the same monoclonal antibody recognizing hDp 71. The protein was named rat decidua- associated protein (rDP) 71. The level of hDp 71 in extracts of endometrial epithelium and stroma, as well as in uterine washings, was measured throughout the oestrous cycle and on 5 consecutive days, starting the day after the rats mated. Moreover, the effect of oestrogen and progesterone on the level of hDp 71 was examined. The results demonstrate the oestrogen-dependent accumulation of rDP 71 in uterine lumen, and support the use of a rat as an experimental animal model to investigate the possible physiological role of this protein in the reproductive process.     

Polymorphisms in the estrogen receptor 1 and vitamin C and matrix metalloproteinase gene families are associated with susceptibility to lymphoma

Background

Non-Hodgkin lymphoma (NHL) is the fifth most common cancer in the U.S. and few causes have been identified. Genetic association studies may help identify environmental risk factors and enhance our understanding of disease mechanisms.

Methodology/Principal Findings

768 coding and haplotype tagging SNPs in 146 genes were examined using Illumina GoldenGate technology in a large population-based case-control study of NHL in the San Francisco Bay Area (1,292 cases 1,375 controls are included here). Statistical analyses were restricted to HIV- participants of white non-Hispanic origin. Genes involved in steroidogenesis, immune function, cell signaling, sunlight exposure, xenobiotic metabolism/oxidative stress, energy balance, and uptake and metabolism of cholesterol, folate and vitamin C were investigated. Sixteen SNPs in eight pathways and nine haplotypes were associated with NHL after correction for multiple testing at the adjusted q<0.10 level. Eight SNPs were tested in an independent case-control study of lymphoma in Germany (494 NHL cases and 494 matched controls). Novel associations with common variants in estrogen receptor 1 (ESR1) and in the vitamin C receptor and matrix metalloproteinase gene families were observed. Four ESR1 SNPs were associated with follicular lymphoma (FL) in the U.S. study, with rs3020314 remaining associated with reduced risk of FL after multiple testing adjustments [odds ratio (OR) = 0.42, 95% confidence interval (CI) = 0.23–0.77) and replication in the German study (OR = 0.24, 95% CI = 0.06–0.94). Several SNPs and haplotypes in the matrix metalloproteinase-3 (MMP3) and MMP9 genes and in the vitamin C receptor genes, solute carrier family 23 member 1 (SLC23A1) and SLC23A2, showed associations with NHL risk.

Conclusions/Significance

Our findings suggest a role for estrogen, vitamin C and matrix metalloproteinases in the pathogenesis of NHL that will require further validation.     

The FEATURE framework for protein function annotation: modeling new functions,improving performance,and extending to novel applications

Structural genomics efforts contribute new protein structures that often lack significant sequence and fold similarity to known proteins. Traditional sequence and structure-based methods may not be sufficient to annotate the molecular functions of these structures. Techniques that combine structural and functional modeling can be valuable for functional annotation. FEATURE is a flexible framework for modeling and recognition of functional sites in macromolecular structures. Here, we present an overview of the main components of the FEATURE framework, and describe the recent developments in its use. These include automating training sets selection to increase functional coverage, coupling FEATURE to structural diversity generating methods such as molecular dynamics simulations and loop modeling methods to improve performance, and using FEATURE in large-scale modeling and structure determination efforts.     

Prolactin receptor-associated protein/17beta-hydroxysteroid dehydrogenase type 7 gene (Hsd17b7) plays a crucial role in embryonic development and fetal survival

Our laboratory has previously cloned and purified a protein named PRAP (prolactin receptor-associated protein) that was shown to be a novel 17beta-hydroxysteroid dehydrogenase (HSD) enzyme with dual activity. This enzyme, renamed HSD17B7 or PRAP/17beta-HSD7, converts estrone to estradiol and is also involved in cholesterol biosynthesis. The major site of its expression is the corpus luteum of a great number of species including rodents and humans. To examine the functional significance of HSD17B7 in pregnancy, we generated a knockout mouse model with targeted deletions of exons 1-4 of this gene. We anticipated a mouse with a severe fertility defect due to its inability to regulate estrogen levels during pregnancy. The heterozygous mutant mice are normal in their development and gross anatomy. The females cycle normally, and both male and female are fertile with normal litter size. To our surprise, the breeding of heterozygous mice yielded no viable HSD17B7 null mice. However, we found HSD17B7 null embryo alive in utero on d 8.5 and d 9.5. By d 10.5, the fetuses grow and suffer from severe brain malformation and heart defect. Because the brain depends on in situ cholesterol biosynthesis for its development beginning at d 10, the major cause of fetal death appears to be due to the cholesterol synthetic activity of this enzyme. By ablating HSD17B7 function, we have uncovered, in vivo, an important requirement for this enzyme during fetal development.     

Haplotype reconstruction from genotype data using Imperfect Phylogeny

Critical to the understanding of the genetic basis for complex diseases is the modeling of human variation. Most of this variation can be characterized by single nucleotide polymorphisms (SNPs) which are mutations at a single nucleotide position. To characterize the genetic variation between different people, we must determine an individual's haplotype or which nucleotide base occurs at each position of these common SNPs for each chromosome. In this paper, we present results for a highly accurate method for haplotype resolution from genotype data. Our method leverages a new insight into the underlying structure of haplotypes that shows that SNPs are organized in highly correlated 'blocks'. In a few recent studies, considerable parts of the human genome were partitioned into blocks, such that the majority of the sequenced genotypes have one of about four common haplotypes in each block. Our method partitions the SNPs into blocks, and for each block, we predict the common haplotypes and each individual's haplotype. We evaluate our method over biological data. Our method predicts the common haplotypes perfectly and has a very low error rate (<2% over the data) when taking into account the predictions for the uncommon haplotypes. Our method is extremely efficient compared with previous methods such as PHASE and HAPLOTYPER. Its efficiency allows us to find the block partition of the haplotypes, to cope with missing data and to work with large datasets. AVAILABILITY: The algorithm is available via a Web server at http://www.calit2.net/compbio/hap/     

Synthesis and biological evaluation of thiazolidine-2,4-dione and 2,4-thione derivatives as inhibitors of translation initiation

In an effort to generate novel translation initiation inhibitors for cancer therapy, a series of 2'-benzyloxy-5'-substituted-5-benzylidene-thiazolidine-2,4-thione and dione derivatives was synthesized and evaluated for activity in translation initiation specific assays. Several candidates of the 5-benzylidene-thiazolidine-2,4-diones (3c, 3d, and 3f) and -thiones (2b, 2e, and 2j), inhibit cell growth with low microM GI(50) mediated by inhibition of translation initiation, which involves partial depletion of intracellular Ca(2+) stores and strong phosphorylation of eIF2alpha.     

ATP-dependent association between subunits of Clp protease in pea chloroplasts

The chloroplast ATP-dependent Clp protease (EC 3.4.21.92) is composed of the proteolytic subunit ClpP and the regulatory ATPase, ClpC. Although both subunits are found in the stroma, the interaction between the two is dynamic. When immunoprecipitation with antibodies against ClpC was performed on stroma from dark-adapted pea (Pisum sativum L. cv. Alaska) chloroplasts, ClpC but not ClpP was precipitated. However, when stroma was supplemented with ATP, both ClpC and ClpP were precipitated. Co-immunoprecipitation was even more efficient in the presence of ATP-gamma-S, suggesting that the association between regulatory and proteolytic subunits is dependent on binding of ATP to ClpC, but not its hydrolysis. To further test this association, stroma was fractionated by column chromatography, and the presence of Clp subunits in the different fractions was monitored immunologically. When stroma depleted of ATP was fractionated on an ion-exchange column, ClpP and ClpC migrated separately, whereas in the presence of ATP-gamma-S both subunits co-migrated. Similar results were observed in size-exclusion chromatography. To further characterize the precipitated enzyme, its proteolytic activity was assayed by testing its ability to degrade beta-casein. No degradation was observed in the absence of ATP, and degradation was inhibited in the presence of phenylmethylsulfonyl fluoride, consistent with Clp being an ATP-dependent serine protease. The activity of the isolated enzyme was further tested using chimeric OE33 as a model substrate. This protein was also degraded in an ATP-dependent manner, supporting the suggested role of Clp protease as a major housekeeping protease in the stroma.