Towards standards for data exchange and integration and their impact on a public database such as CEBS (Chemical Effects in Biological Systems).

Integration, re-use and meta-analysis of high content study data, typical of DNA microarray studies, can increase its scientific utility. Access to study data and design parameters would enhance the mining of data integrated across studies. However, without standards for which data to include in exchange, and common exchange formats, publication of high content data is time-consuming and often prohibitive. The MGED Society (www.mged.org) was formed in response to the widespread publication of microarray data, and the recognition of the utility of data re-use for meta-analysis. The NIEHS has developed the Chemical Effects in Biological Systems (CEBS) database, which can manage and integrate study data and design from biological and biomedical studies. As community standards are developed for study data and metadata it will become increasingly straightforward to publish high content data in CEBS, where they will be available for meta-analysis. Different exchange formats for study data are being developed: Standard for Exchange of Nonclinical Data (SEND; www.cdisc.org); Tox-ML (www.Leadscope.com) and Simple Investigation Formatted Text (SIFT) from the NIEHS. Data integration can be done at the level of conclusions about responsive genes and phenotypes, and this workflow is supported by CEBS. CEBS also integrates raw and preprocessed data within a given platform. The utility and a method for integrating data within and across DNA microarray studies is shown in an example analysis using DrugMatrix data deposited in CEBS by Iconix Pharmaceuticals.

Toward a checklist for exchange and interpretation of data from a toxicology study.

Data from toxicology and toxicogenomics studies are valuable, and can be combined for meta-analysis using public data repositories such as Chemical Effects in Biological Systems Knowledgebase, ArrayExpress, and Gene Expression Omnibus. In order to fully utilize the data for secondary analysis, it is necessary to have a description of the study and good annotation of the accompanying data. This study annotation permits sophisticated cross-study comparison and analysis, and allows data from comparable subjects to be identified and fully understood. The Minimal Information About a Microarray Experiment Standard was proposed to permit deposition and sharing of microarray data. We propose the first step toward an analogous standard for a toxicogenomics/toxicology study, by describing a checklist of information that best practices would suggest be included with the study data. When the information in this checklist is deposited together with the study data, the checklist information helps the public explore the study data in context of time, or identify data from similarly treated subjects, and also explore/identify potential sources of experimental variability. The proposed checklist summarizes useful information to include when sharing study data for publication, deposition into a database, or electronic exchange with collaborators. It is not a description of how to carry out an experiment, but a definition of how to describe an experiment. It is anticipated that once a toxicology checklist is accepted and put into use, then toxicology databases can be configured to require and output these fields, making it straightforward to annotate data for interpretation by others.

Prolonged drug selection of breast cancer cells and enrichment of cancer stem cell characteristics.

BACKGROUND: Cancer stem cells are presumed to have virtually unlimited proliferative and self-renewal abilities and to be highly resistant to chemotherapy, a feature that is associated with overexpression of ATP-binding cassette transporters. We investigated whether prolonged continuous selection of cells for drug resistance enriches cultures for cancer stem-like cells. METHODS: Cancer stem cells were defined as CD44+/CD24⁻ cells that could self-renew (ie, generate cells with the tumorigenic CD44+/CD24⁻ phenotype), differentiate, invade, and form tumors in vivo. We used doxorubicin-selected MCF-7/ADR cells, weakly tumorigenic parental MCF-7 cells, and MCF-7/MDR, an MCF-7 subline with forced expression of ABCB1 protein. Cells were examined for cell surface markers and side-population fractions by microarray and flow cytometry, with in vitro invasion assays, and for ability to form mammospheres. Xenograft tumors were generated in mice to examine tumorigenicity (n = 52). The mRNA expression of multidrug resistance genes was examined in putative cancer stem cells and pathway analysis of statistically significantly differentially expressed genes was performed. All statistical tests were two-sided. RESULTS: Pathway analysis showed that MCF-7/ADR cells express mRNAs from ABCB1 and other genes also found in breast cancer stem cells (eg, CD44, TGFB1, and SNAI1). MCF-7/ADR cells were highly invasive, formed mammospheres, and were tumorigenic in mice. In contrast to parental MCF-7 cells, more than 30% of MCF-7/ADR cells had a CD44+/CD24⁻ phenotype, could self-renew, and differentiate (ie, produce CD44+/CD24⁻ and CD44+/CD24+ cells) and overexpressed various multidrug resistance-linked genes (including ABCB1, CCNE1, and MMP9). MCF-7/ADR cells were statistically significantly more invasive in Matrigel than parental MCF-7 cells (MCF-7 cells = 0.82 cell per field and MCF-7/ADR = 7.51 cells per field, difference = 6.69 cells per field, 95% confidence interval = 4.82 to 8.55 cells per field, P < .001). No enrichment in the CD44+/CD24⁻ or CD133+ population was detected in MCF-7/MDR. CONCLUSION: The cell population with cancer stem cell characteristics increased after prolonged continuous selection for doxorubicin resistance.

Modeling biomedical experimental processes with OBI.

BACKGROUND: Experimental descriptions are typically stored as free text without using standardized terminology, creating challenges in comparison, reproduction and analysis. These difficulties impose limitations on data exchange and information retrieval. RESULTS: The Ontology for Biomedical Investigations (OBI), developed as a global, cross-community effort, provides a resource that represents biomedical investigations in an explicit and integrative framework. Here we detail three real-world applications of OBI, provide detailed modeling information and explain how to use OBI. CONCLUSION: We demonstrate how OBI can be applied to different biomedical investigations to both facilitate interpretation of the experimental process and increase the computational processing and integration within the Semantic Web. The logical definitions of the entities involved allow computers to unambiguously understand and integrate different biological experimental processes and their relevant components. AVAILABILITY: OBI is available at http://purl.obolibrary.org/obo/obi/2009-11-02/obi.owl.

Characterization and interlaboratory comparison of a gene expression signature for differentiating genotoxic mechanisms.

The genotoxicity testing battery is highly sensitive for detection of chemical carcinogens. However, it features a low specificity and provides only limited mechanistic information required for risk assessment of positive findings. This is especially important in case of positive findings in the in vitro chromosome damage assays, because chromosome damage may be also induced secondarily to cell death. An increasing body of evidence indicates that toxicogenomic analysis of cellular stress responses provides an insight into mechanisms of action of genotoxicants. To evaluate the utility of such a toxicogenomic analysis we evaluated gene expression profiles of TK6 cells treated with four model genotoxic agents using a targeted high density real-time PCR approach in a multilaboratory project coordinated by the Health and Environmental Sciences Institute Committee on the Application of Genomics in Mechanism-based Risk Assessment. We show that this gene profiling technology produced reproducible data across laboratories allowing us to conclude that expression analysis of a relevant gene set is capable of distinguishing compounds that cause DNA adducts or double strand breaks from those that interfere with mitotic spindle function or that cause chromosome damage as a consequence of cytotoxicity. Furthermore, our data suggest that the gene expression profiles at early time points are most likely to provide information relevant to mechanisms of genotoxic damage and that larger gene expression arrays will likely provide richer information for differentiating molecular mechanisms of action of genotoxicants. Although more compounds need to be tested to identify a robust molecular signature, this study confirms the potential of toxicogenomic analysis for investigation of genotoxic mechanisms.

Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype.

This report details the standardized experimental design and the different data streams that were collected (histopathology, clinical chemistry, hematology and gene expression from the target tissue (liver) and a bio-available tissue (blood)) after treatment with eight known hepatotoxicants (at multiple time points and doses with multiple biological replicates). The results of the study demonstrate the classification of histopathological differences, likely reflecting differences in mechanisms of cell-specific toxicity, using either liver tissue or blood transcriptomic data.

Comparison of drug transporter levels in normal colon, colon cancer, and Caco-2 cells: impact on drug disposition and discovery.

A critical step in early phase drug development is the determination of oral bioavailability. In part, the ability to predict whether a drug will be effectively transported across the gastrointestinal mucosa can be estimated from the physicochemical properties of the compound. Although advancements through rational drug design have more correctly predicted bioavailability, considerable variability remains to be explained. Transporter expression throughout the gastrointestinal tract may explain much of this variation. ATP-binding cassette (ABC) transporters were the first family of transporters identified to modify bioavailability. More recently, the solute carrier family has also been shown to alter the pharmacokinetic profile of drugs. Currently, the Caco-2 human colon carcinoma cell line is often used by the pharmaceutical industry to evaluate intestinal absorption of drugs; however, in vivo/in vitro permeabilities with carrier mediated drugs do not correlate well, suggesting that Caco-2 transporter expression varies from that of the small intestine. With this is mind, we integrated U133A GeneChip expression data from the NCBIs Gene Expression Omnibus (GEO) collection and then compared the expression pattern of Caco-2 cells to normal colon to determine if the Caco-2 cell line is a reliable model for colonic delivery. Furthermore, transporter expression of Caco-2 cells was compared to that of human colon tumors to assess whether this cell line could be useful to predict drug absorption for colon cancer. Our analysis shows that the expression pattern for Caco-2 cells closely resembles the gene expression profile of transporters within the normal colon, suggesting that this cell line may serve as an in vitro model of colonic drug adsorption. However, the molecular "fingerprint" of Caco-2 was distinctly different from tumor samples, indicating that the Caco-2 model would unlikely predict accurate drug absorption for colon cancer sites.

Modulation of cell adhesion molecules in various epithelial cell lines after treatment with PP2.

Regulation and expression of E-cadherin and other adhesion molecules were evaluated after exposure to a selective inhibitor of the Src family of tyrosine kinases and inducer of E-cadherin, PP2. E-cadherin is located within the intercellular junction, and it is involved in the management of paracellular permeability of various epithelial barriers in the body. Epithelial cell lines HCT-116, HT29, Caco-2, LS174T, and ARPE-19 were examined for morphological, functional, protein, and mRNA changes following 20 microM PP2 treatment. PP2 treatment caused cell clustering in Caco-2, HT29, and HCT-116 cells. E-cadherin also redistributed to the points of cell contact in Caco-2 cells. These changes suggest increased E-cadherin-dependent cell adhesion. Studies evaluating transepithelial electrical resistance, an established measurement of paracellular permeability, displayed increases in resistance for the Caco-2 cells following PP2 treatment, which correlates with our microscopy data. In addition, E-cadherin protein levels increased for all cells except HCT-116. ARPE-19 cells did not express E-cadherin at the protein or mRNA level. Expression of adhesion molecules varied for the cell lines, and only Claudin 3 mRNA expression was significantly increased in the three intestinal cell lines treated with PP2. Overall, our data suggest that E-cadherin is positively regulated by inhibition of Src tyrosine kinases at the functional and protein expression levels within these epithelial cell lines.

Toxicogenomics and systems toxicology: aims and prospects.

Toxicogenomics combines transcript, protein and metabolite profiling with conventional toxicology to investigate the interaction between genes and environmental stress in disease causation. The patterns of altered molecular expression that are caused by specific exposures or disease outcomes have revealed how several toxicants act and cause disease. Despite these success stories, the field faces noteworthy challenges in discriminating the molecular basis of toxicity. We argue that toxicology is gradually evolving into a systems toxicology that will eventually allow us to describe all the toxicological interactions that occur within a living system under stress and use our knowledge of toxicogenomic responses in one species to predict the modes-of-action of similar agents in other species.

Effects of an E-cadherin-derived peptide on the gene expression of Caco-2 cells.

PURPOSE: The goal of this study was to determine the effects of exposure to an HAV peptide (Ac-SHAVSS-NH2) on the protein and gene expression in Caco-2 cells, a model for the intestinal mucosa. METHODS: Caco-2 cells were incubated with either 100 or 500 microM of the hexapeptide then evaluated over a 48-h time period. RESULTS: Cell detachment from the monolayer was seen only after 48 h of exposure to the peptide, with the greatest effects occurring with a peptide concentration of 500 microM. Total protein expression of E-cadherin showed a decrease of nearly 20% at the 24-h time point for each concentration examined, whereas no significant changes were detected at the other time points studied. Short term exposure to a 500 microM solution of Ac-SHAVSS-NH2 caused few changes in gene expression as determined by Affymetrix GeneChip microarrays; however, longer exposure periods produced numerous changes in the treated cells. The variations in mRNA expression indicate that this HAV peptide has an effect in the E-cadherin signaling pathways. The greatest increases in mRNA expression were found in genes regulating excretion or degradation of the peptide. CONCLUSIONS: This work suggests that this HAV peptide produces effects that reach beyond modulation of adhesion.