Genes regulated by estrogen in breast tumor cells in vitro are similarly regulated in vivo in tumor xenografts and human breast tumors

Background  

Estrogen plays a central role in breast cancer pathogenesis. Although many studies have characterized the estrogen regulation of genes using in vitro cell culture models by global mRNA expression profiling, it is not clear whether these genes are similarly regulated in vivo or how they might be coordinately expressed in primary human tumors.     

Evidence of recurrent gene fusions in common epithelial tumors

Chromosomal aberrations that accompany carcinogenesis have been documented for almost half a century, with gene fusions being the most prevalent type of aberration. Gene fusions leading to generation of aberrant fusion proteins or aberrant expression of normal proteins are a potent route to carcinogenesis and have recently emerged as attractive therapeutic targets. Intriguingly, although gene fusions have been widely observed in hematological malignancies, they have been far less frequently described in the more-common epithelial carcinomas. It has been recently proposed that technical issues, rather than any fundamental dichotomy between hematological and solid cancers, account for the under-representation of gene fusions in epithelial cancers. Recent reports from our group support this contention and provide evidence of widespread recurrent gene fusions in prostate cancer using a novel analysis of gene-expression profiles. Here, we provide an appraisal of the state of the knowledge of gene fusions in epithelial cancers. Future implications of gene fusions in common epithelial cancers are also discussed.     

Protein microarrays using liquid phase fractionation of cell lysates

We describe an approach in which protein microarrays are produced using a two-dimensional (2-D) liquid phase fractionation of cell lysates. The method involves a pI-based fractionation using chromatofocusing in the first dimension followed by nonporous reversed-phase high-performance liquid chromatography (HPLC) of each pI fraction in the second dimension. This allows fractionation of cellular proteins in the liquid phase that could then be arrayed on nitrocellulose slides and used to study humoral response in cancer. Protein microarrays have been used to identify potential serum biomarkers for prostate cancer. It is shown that specific fractions are immunoreactive against prostate cancer serum but not against serum from healthy individuals. These proteins could serve as sero-diagnostic markers for prostate cancer. Importantly, this method allows for use of post-translationally modified proteins as baits for detection of humoral response. Proteins eliciting an immune response are identified using the molecular mass and peptide sequence data obtained using mass spectrometric analysis of the liquid fractions. The fractionation of proteins in the liquid phase make this method amenable to automation.     

EVect of Chitosan on Growth and Toxin Production by Alternaria alternata f. sp. lycopersici

The antifungal activity of chitosan, a biopolymer of beta-1-4 glucosamine, against Alternaria alternata f. sp. lycopersici , causal agent of black mold of tomato, was investigated. Chitosan was incorporated into potato-dextrose broth at concentrations of 100-6400 mug ml - 1, and the growth and toxin production by the fungus were assessed after 15 days of incubation. At the higher concentrations, chitosan significantly aVected both fungal growth and toxin production. However, at lower concentrations toxin production was aVected more than growth. The fungus sporulated excessively in the presence of chitosan, but the spores were less viable. Chitosan also induced aggregation, abnormal shape, excessive branching and hyphal contortion of fungal cells, and leakage of proteins. The virulence of the toxin in culture filtrates of the fungus grown on diVerent concentrations of chitosan was assessed by administering toxin on tomato disks. The phospholipid content, electrolyte leakage and activities of xylanase and pectin methylesterase were measured in the tomato tissue administered with culture filtrates containing fungal toxin. Decreased trends in the tendency to cause electrolyte leakage, phospholipid degradation and activation of xylanase and pectin methylesterase in the tomato tissue were observed with increasing concentrations of chitosan. The results showed that toxin produced in the presence of chitosan was less eVective in causing degradation of tomato tissue compared with the control. Thus, chitosan is a potential antifungal agent which can interfere with the pathogenic factors of the fungus.     

Probabilistic model of the human protein-protein interaction network

A catalog of all human protein-protein interactions would provide scientists with a framework to study protein deregulation in complex diseases such as cancer. Here we demonstrate that a probabilistic analysis integrating model organism interactome data, protein domain data, genome-wide gene expression data and functional annotation data predicts nearly 40,000 protein-protein interactions in humans-a result comparable to those obtained with experimental and computational approaches in model organisms. We validated the accuracy of the predictive model on an independent test set of known interactions and also experimentally confirmed two predicted interactions relevant to human cancer, implicating uncharacterized proteins into definitive pathways. We also applied the human interactome network to cancer genomics data and identified several interaction subnetworks activated in cancer. This integrative analysis provides a comprehensive framework for exploring the human protein interaction network.     

Internet-based profiler system as integrative framework to support translational research

Background  

Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to develop molecular biomarkers for diagnosis and prognosis by integrating tissue microarray (TMA) technology and an internet-database tool, Profiler. TMA technology allows investigators to study hundreds of patient samples on a single glass slide resulting in the conservation of tissue and the reduction in inter-experimental variability. The Profiler system allows investigator to reliably track, store, and evaluate TMA experiments. Here within we describe the process that has evolved through an empirical basis over the past 5 years at two academic institutions.     

A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models

In this paper we introduce a novel method for prescribing terminal boundary conditions in one-dimensional arterial flow networks. This is carried out by coupling the terminal arterial vessel with a poro-elastic tube, representing the flow resistance offered by microcirculation. The performance of the proposed porous media-based model has been investigated through several different numerical examples. First, we investigate model parameters that have a profound influence on the flow and pressure distributions of the system. The simulation results have been compared against the waveforms generated by three elements (RCR) Windkessel model. The proposed model is also integrated into a realistic arterial tree, and the results obtained have been compared against experimental data at different locations of the network. The accuracy and simplicity of the proposed model demonstrates that it can be an excellent alternative for the existing models.