title: ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.
abstract: The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and systems toxicology. Many technological advances such as microarrays are enabling this paradigm shift that indicates an unprecedented advancement in the methods of understanding the expression of toxicity at the molecular level. At the National Center for Toxicological Research (NCTR) of the U.S. Food and Drug Administration, core facilities for genomic, proteomic, and metabonomic technologies have been established that use standardized experimental procedures to support centerwide toxicogenomic research. Collectively, these facilities are continuously producing an unprecedented volume of data. NCTR plans to develop a toxicoinformatics integrated system (TIS) for the purpose of fully integrating genomic, proteomic, and metabonomic data with the data in public repositories as well as conventional (Italic)in vitro(/Italic) and (Italic)in vivo(/Italic) toxicology data. The TIS will enable data curation in accordance with standard ontology and provide or interface a rich collection of tools for data analysis and knowledge mining. In this article the design, practical issues, and functions of the TIS are discussed through presenting its prototype version, ArrayTrack, for the management and analysis of DNA microarray data. ArrayTrack is logically constructed of three linked components: a) a library (LIB) that mirrors critical data in public databases; b) a database (MicroarrayDB) that stores microarray experiment information that is Minimal Information About a Microarray Experiment (MIAME) compliant; and c) tools (TOOL) that operate on experimental and public data for knowledge discovery. Using ArrayTrack, we can select an analysis method from the TOOL and apply the method to selected microarray data stored in the MicroarrayDB; the analysis results can be linked directly to gene information in the LIB.
authors: Center for Toxicoinformatics, Division of Biometry and Risk Assessment, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA. wtong@nctr.fda.gov
authors: Weida
authors: W
authors: Tong
authors: Xiaoxi
authors: X
authors: Cao
authors: Stephen
authors: S
authors: Harris
authors: Hongmei
authors: H
authors: Sun
authors: Hong
authors: H
authors: Fang
authors: James
authors: J
authors: Fuscoe
authors: Angela
authors: A
authors: Harris
authors: Huixiao
authors: H
authors: Hong
authors: Qian
authors: Q
authors: Xie
authors: Roger
authors: R
authors: Perkins
authors: Leming
authors: L
authors: Shi
authors: Dan
authors: D
authors: Casciano
mesh_terms: D016208:Databases, Factual; D015723:Gene Library; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000592:standards* / Q000706:statistics & numerical data*; D040081:Protein Array Analysis / Q000592:standards* / Q000706:statistics & numerical data*; D040442:Public Health Informatics; D017150:Public Sector; D012016:Reference Values; D013223:Statistics as Topic; D043922:Toxicogenetics / Q000639:trends*; D014116:Toxicology / Q000639:trends; D014481:United States; D014486:United States Food and Drug Administration