New predictive markers for managing prostate cancer are urgently required because of the highly variable natural history of this disease. At the time of diagnosis, Gleason score provides the gold standard for assessing the aggressiveness of prostate cancer. However, the recent discovery of TMPRSS2 fusions to the ERG gene in prostate cancer raises the possibility of using alterations at the ERG locus as additional mechanism-based prognostic indicators. Fluorescence in situ hybridization (FISH) assays were used to assess ERG gene status in a cohort of 445 prostate cancers from patients who had been conservatively managed. The FISH assays detected separation of 5 0 (labelled green) and 3 0 (labelled red) ERG sequences, which is a consequence of the TMPRSS2-ERG fusion, and additionally identify interstitial deletion of genomic sequences between the tandemly located TMPRSS2 and ERG gene sequences on chromosome 21. Cancers lacking ERG alterations exhibited favourable cause-specific survival (90% survival at 8 years). We identify a novel category of prostate cancers, characterized by duplication of the fusion of TMPRSS2 to ERG sequences together with interstitial deletion of sequences 5 0 to ERG (called '2 þ Edel'), which by comparison exhibited extremely poor cause-specific survival (hazard ratio ¼ 6.10, 95% confidence ratio ¼ 3.33-11.15, Po0.001, 25% survival at 8 years). In multivariate analysis, '2 þ Edel' provided significant prognostic information (P ¼ 0.003) in addition to that provided by Gleason score and prostate-specific antigen level at diagnosis. Other individual categories of ERG alteration were associated with intermediate or good prognosis. We conclude that determination of ERG gene status, including duplication of the fusion of TMPRSS2 to ERG sequences in 2 þ Edel, allows stratification of prostate cancer into distinct survival categories.

Many methods for the detection of genomic DNA methylation states have appeared. Currently, nearly all such methods employ bisulfite-mediated deamination of denatured DNA. While this treatment effectively deaminates cytosines to uracils, leaving most 5-methylcytosines intact, it also introduces abasic sites that generate a significant number of single-strand breaks in DNA. We have investigated the interplay of these two processes in order to determine their relative effects on the methylation-sensitive QPCR method. The extent of cleavage of the input DNA is significant and appears to be an increasing function of DNA concentration. Even so, the results suggest that only ∼10% of a 62-nt target will be lost due to degradation and targets up to 131 nt will suffer only a 20% loss. More significant losses were found to occur during the subsequent removal of bisulfite and desulfonation steps that appear to be the result of size selectivity associated with matrix binding and elution required prior to QPCR in the most commonly used protocols. For biospecimens yielding <1 μg of DNA, these findings suggest that bisulfite treatment, in current implementations of MS-QPCR, result in low recoveries that preclude reliable analysis of DNA methylation patterns regardless of target size.

Electrophoretic mobility shift analysis (EMSA) is a well-characterized and widely used technique for the analysis of protein-DNA interaction and the analysis of transcription factor combinatorics. Currently implemented EMSA generally involves the time-consuming use of radiolabeled DNA and polyacrylamide gel electrophoresis. We are studying the bionanoscience of self-assembling supramolecular protein-nucleic nanostructures. We have undertaken these studies because they promise to enhance our understanding of assemblies formed during prebiotic evolution, provide tools for analysis of biological processes like DNA recombination, and may lead to the development of nanoscale biosensors designed for site-specific molecular targeting. During the course of that work, we noted that EMSA of these complex structures could be effectively implemented with microfluidics chips designed for the separation of DNA fragments. In this report we compare the two techniques and demonstrate that the microfluidics system is also capable of resolving complex mixtures produced by decorating DNA recombination intermediates with mixtures of DNA binding proteins. Moreover, the microfluidics chip system improves EMSA by permitting analysis with smaller samples, avoiding the use of radiolabeling, and reducing the time involved to a matter of minutes.

5-Aza-2′-deoxycytidine (5azaC-dR) has been employed as an inhibitor of DNA methylation, a chemotherapeutic agent, a clastogen, a mutagen, an inducer of fragile sites and a carcinogen. However, its effects are difficult to quantify because it rapidly breaks down in aqueous solution to the stable compound 2′-deoxyriboguanylurea (GuaUre-dR). Here, we used a phosphoramidite that permits the introduction of GuaUre-dR at defined positions in synthetic oligodeoxynucleotides to demonstrate that it is a potent inhibitor of human DNA methyltransferase 1 (hDNMT1) and the bacterial DNA methyltransferase (M.EcoRII) and that it is a mutagen that can form productive base pairs with either Guanine or Cytosine. Pure GuaUre-dR was found to be an effective demethylating agent and was able to induce 5azaC-dR type fragile sites FRA1J and FRA9E in human cells. Moreover, we report that demethylation associated with C:G → G:C transversion and C:G → T:A transition mutations was observed in human cells exposed to pure GuaUre-dR. The data suggest that most of the effects attributed to 5azaC-dR are exhibited by its stable primary breakdown product.

BACKGROUND: TMPRSS2:ERG fusions are promising prostate cancer biomarkers. Because they can occur in multiple forms in a single cancer specimen, we developed a quantitative PCR test that detects both type III and type VI TMPRSS2:ERG fusions. The assay is quantified from a standard curve determined with a plasmid-cloned type III TMPRSS2:ERG fusion target.

Bionanotechnology is an emerging field in nanotechnology. In general, it uses concepts from chemistry, biochemistry, and molecular biology to identify components and processes for the construction of self-assembling materials and devices. Distant goals of the science of bionanotechnology range from developing programmable nanoscale devices that can sample or alter their environments to developing assemblies capable of Darwinian evolution. At the heart of these approaches is the concept of the production of supramolecular assemblies (SMAs; also known as supramolecular aggregates) by programmed self-assembly in an aqueous medium. Ordered arrays, planar and closed-shell tilings, dynamic machines, and switches have been designed and constructed by using DNA-DNA, protein-protein, and protein-nucleic acid biospecificities. We review the designs and the analytical techniques that have been employed in the production of SMAs that do not occur in nature.

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