瓦山安息香中苯并呋喃促雌激素合成的机理研究

雌激素是人体内重要的激素之一，具有广泛的生理功能。雌激素缺乏与许多疾病相关，如卵巢功能低下，更年期综合征以及骨质疏松等；雌激素过剩也将导致某些疾病，如乳腺癌、卵巢癌、子宫内膜癌等。目前，如何降低肿瘤组织中的雌激素水平而达到治疗肿瘤的目的，已经得到广泛的研究，但促雌激素生成或调节卵巢功能药物或其相关研究则很少。 本实验室前期的研究发现，瓦山安息香属植物果实中的乙醇提取物具有促雌激素生成作用，通过活性追踪和结构鉴定，确认促E2 生成的主要成分为苯并呋喃类化合物。苯并呋喃类化合物的作用与芳香酶有关，但其确切的作用机理有待证实和深入研究。 为了探讨安息香苯并呋喃类化合物的促雌激素合成的作用机理，拟采用如下的实验方案： 1、细胞学方面，对小鼠3T3-L1 前脂肪细胞、人乳腺癌细胞MCF-7、MDA-MB-231 以及人卵巢癌细胞OVCAR-3、OVCAR-4、OVCAR-5、OVCAR-8、IGROV1 等细胞株，采用RT-PCR 和ELISA 方法研究芳香酶Aro基因的表达和雌二醇E2 的生成，芳香酶抑制剂Formestane 作为阳性对照，研究时效曲线和量效曲线，确定安息香苯并呋喃类化合物SP25 的有效浓度和作用时间。 2、RNAi 方面，设计合成了针对人芳香酶Aro基因的3 对RNAi 序列，转染入细胞，芳香酶促进剂Forskolin 和地塞米松、芳香酶抑制剂Formestane 作为阳性对照，采用实时定量PCR 技术，研究RNA 干扰后，安息香苯并呋喃类化合物SP25 对人芳香酶Aro基因表达水平瓦山安息香苯并呋喃促雌激素合成的机理研究的影响。 3、雌激素受体方面，设计一段ERE 的雌激素调控元件，构建重组荧光素酶报告基因载体，瞬时转染人乳腺癌细胞株MDA-MB-231，建立针对雌激素受体的报告基因筛选模型，观察安息香苯并呋喃类化合物SP25 对雌激素受体的选择性和亲和力，从受体水平考察安息香苯并呋喃类化合物SP25 促进雌激素生成的药理学机理。 实验结果显示： 1、分化后的小鼠3T3-L1 前脂肪细胞、人乳腺癌细胞MCF-7 、MDA-MB-231 以及人卵巢癌细胞OVCAR-3、OVCAR-4、OVCAR-8 等细胞株具有芳香酶基因的表达。睾酮向雌二醇的转化能够被芳香酶抑制剂Formestane 所阻断，其中OVCAR-3 最适合进行下一步的RNAi研究。 2、RNAi 实验结果显示，设计的3 对RNAi 序列中R2 的干扰效果最强，相应的阴性对照C2 与R2 的表达量相差118 倍（24 小时）和19 倍（48 小时），显示R2/C2 这组序列可用于进一步的RNAi 试验。以R2 干扰OVCAR-3 细胞株，药物作用24、48 小时后，芳香酶抑制剂Formestane 与R2 相对表达量相比分别为0.83 倍和0.04 倍；芳香酶促进剂Forskolin 与R2 相对表达量相比分别为3.61 和1.84 倍；芳香酶促进剂地塞米松与R2 相对表达量相比分别为5.76 倍和3.49倍；苯并呋喃类化合物SP25 与R2 相对表达量相比分别为8.13 倍和4.59 倍。实验证实安息香苯并呋喃类化合物SP25 能够促进因RNAi 而发生基因沉默的人芳香酶Aro表达水平的上调。 3、雌激素受体实验结果显示，构建成功重组pERE-pGL3-promoter 荧光素酶报告基因载体和基于报告基因系统的雌激素受体激动剂或拮抗剂的细胞筛选模型。实验结果表明安息香苯并呋喃类化合物SP25 与雌激素受体ERα和ERβ亲和力选择性之比约为3：1 ，SP25通过与雌激素受体ERα结合作用其受体，刺激芳香酶的表达。 本课题通过RNA 干扰、ELISA、荧光实时定量PCR、报告基因筛选模型等技术手段，从细胞水平、蛋白酶水平和基因表达水平、雌激素受体水平等方面系统地研究了从瓦山安息香属植物果实中提取的苯并呋喃SP25 促进促雌激素生成的机理研究。试验结果显示苯并呋喃类化合物SP25 促雌激素生成的主要作用机制是直接促进芳香酶基因表达水平，以及与雌激素受体a 结合，刺激芳香酶活性。 Estrogen is an important hormone that has versatile physiologicalfunctions. Lack of estrogen will lead to many diseases such as lower ovarianfunction, climacteric syndrome and osteoporosis. Excessive estrogen alsoinduces breast carcinoma, oophoroma and endometrial carcinoma and otherdiseases. To depress the estrogen level in tumor tissue to cure carcinomawas widely studied, but there is only few studies reported on the induction ofestrogen and on the regulation of ovary function. We found that the extracts from seeds of Styrax perkinsiae couldpromote the synthesis of estrogen. The active compounds benzofurans wereidentified. Effect of benzofurans may be related to aromatase, but the mechanism was not clear. To reveal the mechanism of these benzofurans to promote estrogensynthesis, the following protocols were adopted: 1 Cytology: 3T3-L1 preadipocytes,human ovary carcinoma celllines OVCAR-3,OVCAR-4,OVCAR-5,OVCAR-8,IGROV1 andbreast carcinoma cell lines MCF-7 and MDA-MB-231 were usedto determine Aro gene expression and estrogen production withRT-PCR AND ELISA methods. Formestane, an aromataseinhibitor, was used as positive control. And dose-curve,time-curve and the effective concentration of SP25 were also studied. 2 Designed 3 pairs of RNAi for human aromatase gene, andtransfected into cell. Aromatase inducer Forskolin andDexamethasone, and aromatase inhibitor Formestane were usedas positive controls. We studied the change of Aro expressionlevel with SP25 by using real-time PCR after RNA interfering. 3 Estrogen Receptor: We constructed the recombined Luciferasereport vector and establish a screening system for estrogenagonist and antagon. With this system, we studied the affinity ofSP25 and estrogen receptor. Results: 1 Differentiated 3T3-L1 preadipocytes¡¢human ovary carcinomacell lines:OVCAR-3, OVCAR-4, OVCAR-8 and breast carcinomacell lines MCF-7, MDA-MB-231 had detected aromatase geneexpression.And OVCAR-3 is more suitable for further aromatasegene function research. 2 In RNAi assay, R2 has a strong interfering effcet in OVCAR-3 cellline, and ratio of C2 (the negative control) to R2 were 118 times(24 hours) and 19 times (48 hours). This means sucessful inRNA interfering. After R2 acted on OVCAR-3 cell line, the ratiosof formestane to R2 were 0.83 and 0.04 times, 5.76 and 3.49times (Dex), 3.61 and 1.84 times (forskolin) and 8.13 and 4.59times (sp25) after drug treated 24 or 48 hours respectively.These results indicated that SP25 can directly induce aromatasegene up-regulation. 3 We had constructed pERE-pGL3-promoter recombined vectorand the Luciferase report gene screening system. Luciferasereport gene assay showed that sp25 had a higher affinity with strogen receptor alpha than estrogen receptor beta, this indicated that SP25 can act on estrogen receptor and induce aromatase. Our results revealed that the mechanisms of benzofuran to promoteestrogen were the upregulation aromatase gene expression and promotion ofaromatase activity and have partially elective affinity with estrogen receptoralpha.

Biodiscovery of natural products from microbes associated with Irish coastal sponges

Marine sponges have been an abundant source of new metabolites in recent years. The symbiotic association between the bacteria and the sponge has enabled scientists to access the bacterial diversity present within the bacterial/sponge ecosystem. This study has focussed on accessing the bacterial diversity in two Irish coastal marine sponges, namely Amphilectus fucorum and Eurypon major. A novel species from the genus Aquimarina has been isolated from the sponge Amphilectus fucorum. The study has also resulted in the identification of an α–Proteobacteria, Pseudovibrio sp. as a potential producer of antibiotics. Thus a targeted based approach to specifically cultivate Pseudovibrio sp. may prove useful for the development of new metabolites from this particular genus. Bacterial isolates from the marine sponge Haliclona simulans were screened for anti–fungal activity and one isolate namely Streptomyces sp. SM8 displayed activity against all five fungal strains tested. The strain was also tested for anti–bacterial activity and it showed activity against both against B. subtilis and P. aeruginosa. Hence a combinatorial approach involving both biochemical and genomic approaches were employed in an attempt to identify the bioactive compounds with these activities which were being produced by this strain. Culture broths from Streptomyces sp. SM8 were extracted and purified by various techniques such as reverse–phase HPLC, MPLC and ash chromatography. Anti–bacterial activity was observed in a fraction which contained a hydroxylated saturated fatty acid and also another compound with a m/z 227 but further structural elucidation of these compounds proved unsuccessful. The anti–fungal fractions from SM8 were shown to contain antimycin–like compounds, with some of these compounds having different retention times from that of an antimycin standard. A high–throughput assay was developed to screen for novel calcineurin inhibitors using yeast as a model system and three putative bacterial extracts were found to be positive using this screen. One of these extracts from SM8 was subsequently analysed using NMR and the calcineurin inhibition activity was con rmed to belong to a butenolide type compound. A H. simulans metagenomic library was also screened using the novel calcineurin inhibitor high–throughput assay system and eight clones displaying putative calcineurin inhibitory activity were detected. The clone which displayed the best inhibitory activity was subsequently sequenced and following the use of other genetic based approaches it became clear that the inhibition was being caused by a hypothetical protein with similarity to a hypothetical Na+/Ca2+ exchanger protein. The Streptomyces sp. SM8 genome was sequenced from a fragment library using Roche 454 pyrosequencing technology to identify potential secondary metabolism clusters. The draft genome was annotated by IMG/ER using the Prodigal pipeline. The Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession AMPN00000000. The genome contains genes which appear to encode for several polyketide synthases (PKS), non–ribosomal peptide synthetases (NRPS), terpene and siderophore biosynthesis and ribosomal peptides. Transcriptional analyses led to the identification of three hybrid clusters of which one is predicted to be involved in the synthesis of antimycin, while the functions of the others are as yet unknown. Two NRPS clusters were also identified, of which one may be involved in gramicidin biosynthesis and the function of the other is unknown. A Streptomyces sp. SM8 NRPS antC gene knockout was constructed and extracts from the strain were shown to possess a mild anti–fungal activity when compared to the SM8 wild–type. Subsequent LCMS analysis of antC mutant extracts confirmed the absence of the antimycin in the extract proving that the observed anti–fungal activity may involve metabolite(s) other than antimycin. Anti–bacterial activity in the antC gene knockout strain against P. aeruginosa was reduced when compared to the SM8 wild–type indicating that antimycin may be contributing to the observed anti–bacterial activity in addition to the metabolite(s) already identified during the chemical analyses. This is the first report of antimycins exhibiting anti–bacterial activity against P. aeruginosa. One of the hybrid clusters potentially involved in secondary metabolism in SM8 that displayed high and consistent levels of gene–expression in RNA studies was analysed in an attempt to identify the metabolite being produced by the pathway. A number of unusual features were observed following bioinformatics analysis of the gene sequence of the cluster, including a formylation domain within the NRPS cluster which may add a formyl group to the growing chain. Another unusual feature is the lack of AT domains on two of the PKS modules. Other unusual features observed in this cluster is the lack of a KR domain in module 3 of the cluster and an aminotransferase domain in module 4 for which no clear role has been hypothesised.

sscMap: An extensible Java application for connecting small-molecule drugs using gene-expression signatures

Background
Connectivity mapping is a process to recognize novel pharmacological and toxicological properties in small molecules by comparing their gene expression signatures with others in a database. A simple and robust method for connectivity mapping with increased specificity and sensitivity was recently developed, and its utility demonstrated using experimentally derived gene signatures.

Results
This paper introduces sscMap (statistically significant connections' map), a Java application designed to undertake connectivity mapping tasks using the recently published method. The software is bundled with a default collection of reference gene-expression profiles based on the publicly available dataset from the Broad Institute Connectivity Map 02, which includes data from over 7000 Affymetrix microarrays, for over 1000 small-molecule compounds, and 6100 treatment instances in 5 human cell lines. In addition, the application allows users to add their custom collections of reference profiles and is applicable to a wide range of other 'omics technologies.

Conclusion
The utility of sscMap is two fold. First, it serves to make statistically significant connections between a user-supplied gene signature and the 6100 core reference profiles based on the Broad Institute expanded dataset. Second, it allows users to apply the same improved method to custom-built reference profiles which can be added to the database for future referencing. The software can be freely downloaded from http://purl.oclc.org/NET/sscMap

A simple and robust method for connecting small-molecule drugs using gene-expression signatures

Background

Interaction of a drug or chemical with a biological system can result in a gene-expression profile or signature characteristic of the event. Using a suitably robust algorithm these signatures can potentially be used to connect molecules with similar pharmacological or toxicological properties by gene expression profile. Lamb et al first proposed the Connectivity Map [Lamb et al (2006), Science 313, 1929–1935] to make successful connections among small molecules, genes, and diseases using genomic signatures.

Results

Here we have built on the principles of the Connectivity Map to present a simpler and more robust method for the construction of reference gene-expression profiles and for the connection scoring scheme, which importantly allows the valuation of statistical significance of all the connections observed. We tested the new method with two randomly generated gene signatures and three experimentally derived gene signatures (for HDAC inhibitors, estrogens, and immunosuppressive drugs, respectively). Our testing with this method indicates that it achieves a higher level of specificity and sensitivity and so advances the original method.

Conclusion

The method presented here not only offers more principled statistical procedures for testing connections, but more importantly it provides effective safeguard against false connections at the same time achieving increased sensitivity. With its robust performance, the method has potential use in the drug development pipeline for the early recognition of pharmacological and toxicological properties in chemicals and new drug candidates, and also more broadly in other 'omics sciences.

Application of connectivity mapping in predictive toxicology based on gene-expression similarity.

Connectivity mapping is the process of establishing connections between different biological states using gene-expression profiles or signatures. There are a number of applications but in toxicology the most pertinent is for understanding mechanisms of toxicity. In its essence the process involves comparing a query gene signature generated as a result of exposure of a biological system to a chemical to those in a database that have been previously derived. In the ideal situation the query gene-expression signature is characteristic of the event and will be matched to similar events in the database. Key criteria are therefore the means of choosing the signature to be matched and the means by which the match is made. In this article we explore these concepts with examples applicable to toxicology.

Interaction of Arabidopsis Thaliana with Plasmodiophora Brassicae

Plasmodiophora brassicae is a protistan pathogen that attacks roots of brassicaceous plant species causing devastating disease. Resistance is characterised by restriction of the pathogen and susceptibility by the development of severely malformed roots (‘clubroots’) and stunting of the plant that is associated with alterations in the synthesis of cytokinin and auxin hormones. We are examining the susceptible response in Arabidopsis and whether suppression of key resistance factors by the pathogen contributes to susceptibility. The interaction is being studied using a number of approaches including microscopy of the infection process and development of the pathogen within roots and host gene expression analysis. Quantitative PCR was used to confirm the timing of infection of roots and showed that infection occurred at day four and colonisation increased thereafter to high levels by 23 days after inoculation by which time roots were showing systemic abnormalities. To investigate the basis of this compatible interaction we have conducted a time course experiment following infection of a susceptible ecotype of Arabidopsis (Col-0) to examine whole genome geneexpression changes in the host. Differential gene expression analysis of inoculated versus control roots showed that a higher number of genes had altered expression levels at day four compared to that at day seven and at day ten. At day four the expression levels of several genes known to be important for recognition and signal transduction in resistant interactions and genes involved in the biosynthesis of lignin, phenylpropanoids and ethylene were suppressed. Suppression by P. brassicae of specific plant defence responses appears to be a key component of susceptibility in this system.

Adamts5, the gene encoding a proteoglycan-degrading metalloprotease, is expressed by specific cell lineages during mouse embryonic development and in adult tissues.

The secreted metalloprotease ADAMTS5 is implicated in destruction of the cartilage proteoglycan aggrecan in arthritis, but its physiological functions are unknown. Its expression profile during embryogenesis and in adult tissues is therefore of considerable interest. β-Galactosidase (β-gal) histochemistry, enabled by a LacZ cassette inserted in the Adamts5 locus, and validated by in situ hybridization with an Adamts5 cRNA probe and ADAMTS5 immunohistochemistry, was used to profile Adamts5 expression during mouse embryogenesis and in adult mouse tissues. Embryonic expression was scarce prior to 11.5 days of gestation (E11.5) and noted only in the floor plate of the developing brain at E9.5. After E11.5 there was continued expression in brain, especially in the choroid plexus, peripheral nerves, dorsal root ganglia, cranial nerve ganglia, spinal and cranial nerves, and neural plexuses of the gut. In addition to nerves, developing limbs have Adamts5 expression in skeletal muscle (from E13.5), tendons (from E16.5), and inter-digital mesenchyme of the developing autopod (E13.5–15.5). In adult tissues, there is constitutive Adamts5 expression in arterial smooth muscle cells, mesothelium lining the peritoneal, pericardial and pleural cavities, smooth muscle cells in bronchi and pancreatic ducts, glomerular mesangial cells in the kidney, dorsal root ganglia, and in Schwann cells of the peripheral and autonomic nervous system. Expression of Adamts5 during neuromuscular development and in smooth muscle cells coincides with the broadly distributed proteoglycan versican, an ADAMTS5 substrate. These observations suggest the major contexts in which developmental and physiological roles could be sought for this protease.

A gene expression signature for insulin resistance

Insulin resistance is a heterogeneous disorder caused by a range of genetic and environmental factors, and we hypothesize that its aetiology varies considerably between individuals. This heterogeneity provides significant challenges to the development of effective therapeutic regimes for long-term management of type 2 diabetes. We describe a novel strategy, using large-scale gene expression profiling, to develop a Gene Expression Signature (GES) that reflects the overall state of insulin resistance in cells and patients. The GES was developed from 3T3-L1 adipocytes that were made ‘insulin resistant’ by treatment with tumour necrosis factor-alpha (TNFα) and then reversed with aspirin and troglitazone (‘re-sensitized’). The GES consisted of five genes whose expression levels best discriminated between the insulin resistant and insulin re-sensitized states. We then used this GES to screen a compound library for agents that affected the GES genes in 3T3- L1 adipocytes in a way that most closely resembled the changes seen when insulin resistance was successfully reversed using aspirin and troglitazone. This screen identified both known and new insulin sensitizing compounds including non-steroidal anti inflammatory agents, β-adrenergic antagonists, beta-lactams and sodium channel blockers. We tested the biological relevance of this GES in participants in the San Antonio Family Heart Study (n = 1,240) and showed that patients with the lowest GES scores were more insulin resistant (according to HOMA_IR and fasting plasma insulin levels, P < 0.001). These findings show that GES technology can be used for both the discovery of insulin sensitizing compounds and the characterization of patients into subtypes of insulin resistance according to GES scores, opening the possibility of developing a personalized medicine approach to type 2 diabetes.