Systems Toxicology and the Chemical Effects in Biological Systems (CEBS) Knowledge Base

The National Center for Toxicogenomics is developing the first public toxicogenomics knowledge base that combines molecular expression data sets from transcriptomics, proteomics, metabonomics, and conventional toxicology with metabolic, toxicologcal pathway, and gene regulatory network information relevant to environmental toxicology and human disease. It is called the Chemical Effects in Biological Systems (CEBS) knowledge base and is designed to meet the information needs of "systems toxicology," involving the study of perturbation by chemicals and stressors, monitoring changes in molecular expression and conventional toxicological parameters, and iteratively integrating biological response data to describe the functioning organism. Based upon functional genomics approaches used successfully in analyzing yeast gene expression data sets, relational and descriptive compendia will be assembled for toxicologically important genes, groups of genes, single nucleotide polymorphisms (SNPs), and mutant and knockout phenotypes. CEBS data sets will be fully documented in the experimental protocol and therefore searchable by compound, structure, toxicity end point, pathology and point, gene, gene group, SNP, pathway, and network as a function of dose, time, and the phenotype of the target tissue. A knowledge base is being developed by assimilating toxicological, biological, and chemical information from multiple public domain databases and by progressively refining that information about gene, protein, and metabolite expression for classes of chemicals and their biological effects in various species. By analogy to the GenBank database for genome sequences, researchers will globally query (or BLAST) CEBS using a transcriptome of a tissue of interest (or a list of outliers) to have the knowledge base return information on genes, groups of genes, metabolic and toxicological pathways, and contextually associated phenotypic information for compounds that display similar response profiles. With high-quality data content, CEBS will ultimately become a resource to support hypothesis-driven and discovery research that contributes effectively to drug safety and the improvement of risk assessments for chemicals in the environment. The CEBS development effort will span a decade or more.

[1]  M. Bittner,et al.  Data management and analysis for gene expression arrays , 1998, Nature Genetics.

[2]  Alex E. Lash,et al.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..

[3]  S W Burchiel,et al.  Analysis of genetic and epigenetic mechanisms of toxicity: potential roles of toxicogenomics and proteomics in toxicology. , 2001, Toxicological sciences : an official journal of the Society of Toxicology.

[4]  E Holmes,et al.  Metabonomic characterization of genetic variations in toxicological and metabolic responses using probabilistic neural networks. , 2001, Chemical research in toxicology.

[5]  D. Sattelle,et al.  A role for Caenorhabditis elegans in understanding the function and interactions of human disease genes. , 2000, Human molecular genetics.

[6]  Lee Bennett,et al.  Prediction of compound signature using high density gene expression profiling. , 2002, Toxicological sciences : an official journal of the Society of Toxicology.

[7]  J. Trent,et al.  Microarrays and toxicology: The advent of toxicogenomics , 1999, Molecular carcinogenesis.

[8]  Christian A. Rees,et al.  Molecular portraits of human breast tumours , 2000, Nature.

[9]  Yudong D. He,et al.  Functional Discovery via a Compendium of Expression Profiles , 2000, Cell.

[10]  J. Brady,et al.  A protective role for cyclooxygenase-2 in drug-induced liver injury in mice. , 2001, Chemical research in toxicology.

[11]  D. Nelson,et al.  A second CYP26 P450 in humans and zebrafish: CYP26B1. , 1999, Archives of biochemistry and biophysics.

[12]  Hiroyuki Ogata,et al.  KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..

[13]  J. Lindon,et al.  'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. , 1999, Xenobiotica; the fate of foreign compounds in biological systems.

[14]  R G Ulrich,et al.  Clustering of hepatotoxins based on mechanism of toxicity using gene expression profiles. , 2001, Toxicology and applied pharmacology.

[15]  Thomas P Conrads,et al.  The SELDI-TOF MS approach to proteomics: protein profiling and biomarker identification. , 2002, Biochemical and biophysical research communications.

[16]  Donna L Mendrick,et al.  Toxicogenomics: a new revolution in drug safety. , 2002, Drug discovery today.

[17]  Richard S Paules,et al.  An overview of toxicogenomics. , 2002, Current issues in molecular biology.

[18]  M. Merchant,et al.  A rapid protein profiling system that speeds study of cancer and other diseases. , 2000, American clinical laboratory.

[19]  Bjarte Dysvik,et al.  Molecular classification of borderline ovarian tumors using hierarchical cluster analysis of protein expression profiles , 2002, International journal of cancer.

[20]  Sudhir Kumar,et al.  Comparative Genomics in Eukaryotes , 2005 .

[21]  J. Waring Development of a DNA Microarray for Toxicology Based on Hepatotoxin-Regulated Sequences , 2002, EHP toxicogenomics : journal of the National Institute of Environmental Health Sciences.

[22]  Cynthia A Afshari,et al.  Perspective: microarray technology, seeing more than spots. , 2002, Endocrinology.

[23]  K. Olden New opportunities in toxicology in the post-genomic era. , 2002, Drug discovery today.

[24]  W. Pennie,et al.  Toxicogenomics; transcript profiling and potential application to chemical allergy. , 2002, Toxicology in vitro : an international journal published in association with BIBRA.

[25]  J. Brady,et al.  Expression profiling of acetaminophen liver toxicity in mice using microarray technology. , 2001, Biochemical and biophysical research communications.

[26]  Pierre R. Bushel,et al.  Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models , 2001, J. Comput. Biol..

[27]  Mark W. Craven,et al.  Identification of toxicologically predictive gene sets using cDNA microarrays. , 2001, Molecular pharmacology.

[28]  W. Farland,et al.  Current risk assessment approaches in different countries , 2000, Food additives and contaminants.

[29]  Robert P Tonge,et al.  Genomics and proteomics analysis of acetaminophen toxicity in mouse liver. , 2002, Toxicological sciences : an official journal of the Society of Toxicology.

[30]  E Holmes,et al.  Chemometric models for toxicity classification based on NMR spectra of biofluids. , 2000, Chemical research in toxicology.

[31]  Ash A. Alizadeh,et al.  Towards a novel classification of human malignancies based on gene expression patterns , 2001, The Journal of pathology.

[32]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[33]  Michael Seringhaus Developing Bioinformatics Computer Skills , 2002, The Yale Journal of Biology and Medicine.

[34]  J. Fitch,et al.  A rapid method to capture and screen for transcription factors by SELDI mass spectrometry. , 2002, Biochemical and biophysical research communications.

[35]  M D Waters,et al.  The Genetic Activity Profile database. , 1991, Environmental health perspectives.

[36]  James P. Sluka Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature , 2002 .

[37]  Peter D. Karp,et al.  An ontology for biological function based on molecular interactions , 2000, Bioinform..

[38]  G. Zweiger,et al.  Knowledge discovery in gene-expression-microarray data: mining the information output of the genome. , 1999, Trends in biotechnology.

[39]  E. Myers,et al.  Basic local alignment search tool. , 1990, Journal of molecular biology.

[40]  K. Morgan Gene expression analysis reveals chemical-specific profiles. , 2002, Toxicological sciences : an official journal of the Society of Toxicology.

[41]  R. Tennant,et al.  The National Center for Toxicogenomics: using new technologies to inform mechanistic toxicology. , 2002, Environmental health perspectives.

[42]  R. Somogyi,et al.  Gene Expression Microarray Data Analysis for Toxicology Profiling , 2000, Annals of the New York Academy of Sciences.

[43]  J. Lindon,et al.  Metabonomics: a platform for studying drug toxicity and gene function , 2002, Nature Reviews Drug Discovery.

[44]  T. Ideker,et al.  A new approach to decoding life: systems biology. , 2001, Annual review of genomics and human genetics.

[45]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[46]  Christopher J Portier,et al.  Toxicogenomics: the new frontier in risk analysis. , 2002, Carcinogenesis.

[47]  H. Li,et al.  A permutation procedure for the haplotype method for identification of disease‐predisposing variants , 2001 .

[48]  Kerry Blanchard,et al.  Methapyrilene Toxicity: Anchorage of Pathologic Observations to Gene Expression Alterations , 2002, Toxicologic pathology.

[49]  John C Lindon,et al.  Earthworm species of the genus Eisenia can be phenotypically differentiated by metabolic profiling , 2002, FEBS letters.

[50]  D W Nebert,et al.  P450 superfamily: update on new sequences, gene mapping, accession numbers and nomenclature. , 1996, Pharmacogenetics.

[51]  Kate Johnson,et al.  MAPS: a microarray project system for gene expression experiment information and data validation , 2001, Bioinform..

[52]  D. Nebert,et al.  Cytochrome P450: evolution and functional diversity. , 1994, Progress in liver diseases.

[53]  Evgeni Selkov,et al.  MPW: the Metabolic Pathways Database , 1998, Nucleic Acids Res..

[54]  Xin Chen,et al.  TRANSFAC: an integrated system for gene expression regulation , 2000, Nucleic Acids Res..

[55]  Temple F. Smith,et al.  Comparison of the complete protein sets of worm and yeast: orthology and divergence. , 1998, Science.

[56]  Stephen H. Friend,et al.  Toxicogenomics and drug discovery: will new technologies help us produce better drugs? , 2002, Nature Reviews Drug Discovery.

[57]  Ann M Richard,et al.  Distributed structure-searchable toxicity (DSSTox) public database network: a proposal. , 2002, Mutation research.

[58]  H. Schrem,et al.  Liver-Enriched Transcription Factors in Liver Function and Development. Part I: The Hepatocyte Nuclear Factor Network and Liver-Specific Gene Expression , 2002, Pharmacological Reviews.

[59]  W. Farland The U.S. Environmental Protection Agency's Risk Assessment Guidelines: Current Status and Future Directions , 1991, Toxicology and industrial health.

[60]  W. Farland Cancer risk assessment: evolution of the process. , 1996, Preventive medicine.

[61]  T R Zacharewski,et al.  Challenges and limitations of gene expression profiling in mechanistic and predictive toxicology. , 2001, Toxicological sciences : an official journal of the Society of Toxicology.

[62]  J. Emery,et al.  Unique gene expression patterns in liver and kidney associated with exposure to chemical toxicants. , 2001, The Journal of pharmacology and experimental therapeutics.

[63]  D. Nelson,et al.  Cytochrome P450 and the individuality of species. , 1999, Archives of biochemistry and biophysics.

[64]  N. Vermeulen,et al.  Paracetamol (Acetaminophen)-Induced Toxicity: Molecular and Biochemical Mechanisms, Analogues and Protective Approaches , 2001, Critical reviews in toxicology.

[65]  J. Kuromitsu,et al.  Microarray analysis of gene expression changes in mouse liver induced by peroxisome proliferator- activated receptor alpha agonists. , 2002, Biochemical and biophysical research communications.

[66]  Xin Chen,et al.  The TRANSFAC system on gene expression regulation , 2001, Nucleic Acids Res..

[67]  L. Crosby,et al.  Toxicogenomics, Drug Discovery, and the Pathologist , 2002, Toxicologic pathology.

[68]  Daniel Lee,et al.  The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic species , 2001, Nucleic Acids Res..

[69]  Marilyn J Aardema,et al.  Toxicology and genetic toxicology in the new era of "toxicogenomics": impact of "-omics" technologies. , 2002, Mutation research.

[70]  John Aach,et al.  Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range , 2002, Proceedings of the National Academy of Sciences of the United States of America.