Jennifer Fostel

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. ncbi Towards standards for data exchange and integration and their impact on a public database such as CEBS (Chemical Effects in Biological Systems)
    Jennifer M Fostel
    Global Health Sector, SRA International, Inc, LLC, Durham, North Carolina, USA
    Toxicol Appl Pharmacol 233:54-62. 2008
  2. ncbi Toward a checklist for exchange and interpretation of data from a toxicology study
    Jennifer M Fostel
    NIEHS, LMIT ITSS Contract, Research Triangle Park, North Carolina 27709 2233, USA
    Toxicol Sci 99:26-34. 2007
  3. ncbi Maximizing biomarker discovery by minimizing gene signatures
    Chang Chang
    The Center for Bioinformatics and Institute of Biomedical Sciences, School of Life Science, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
    BMC Genomics 12:S6. 2011
  4. ncbi Transcriptomic analysis of pathways regulated by toll-like receptor 4 in a murine model of chronic pulmonary inflammation and carcinogenesis
    Alison K Bauer
    Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
    Mol Cancer 8:107. 2009
  5. ncbi Modeling biomedical experimental processes with OBI
    Ryan R Brinkman
    British Columbia Cancer Agency, Vancouver, Canada
    J Biomed Semantics 1:S7. 2010
  6. ncbi Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype
    Edward K Lobenhofer
    Cogenics, Division of Clinical Data, Inc, Morrisville, NC 27560, USA
    Genome Biol 9:R100. 2008
  7. ncbi Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories
    Michael J Boedigheimer
    CDER, US FDA, Silver Spring, MD 20993, USA
    BMC Genomics 9:285. 2008
  8. ncbi Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis
    Jennifer Fostel
    National Center for Toxicogenomics, NIEHS MD F1 05, 111 Alexander Drive, PO Box 12233, Research Triangle Park, NC 27709 2233, USA
    Pharmacogenomics 7:441-54. 2006
  9. ncbi Chemical effects in biological systems--data dictionary (CEBS-DD): a compendium of terms for the capture and integration of biological study design description, conventional phenotypes, and 'omics data
    Jennifer Fostel
    LIMT Lockheed Martin Information Technology LMIT, Research Triangle Park, NC 27709, USA
    Toxicol Sci 88:585-601. 2005
  10. ncbi Predictive ADME-Tox London, UK, 27 -- 28 April 2005
    Jennifer Fostel
    US National Center for Toxicogenomics, National Institute for Environmental Health Sciences, Lockheed Martin Information Technology, Research Triangle Park, North Carolina, USA
    Expert Opin Drug Metab Toxicol 1:565-70. 2005

Collaborators

Detail Information

Publications17

  1. ncbi Towards standards for data exchange and integration and their impact on a public database such as CEBS (Chemical Effects in Biological Systems)
    Jennifer M Fostel
    Global Health Sector, SRA International, Inc, LLC, Durham, North Carolina, USA
    Toxicol Appl Pharmacol 233:54-62. 2008
    ..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...
  2. ncbi Toward a checklist for exchange and interpretation of data from a toxicology study
    Jennifer M Fostel
    NIEHS, LMIT ITSS Contract, Research Triangle Park, North Carolina 27709 2233, USA
    Toxicol Sci 99:26-34. 2007
    ..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...
  3. ncbi Maximizing biomarker discovery by minimizing gene signatures
    Chang Chang
    The Center for Bioinformatics and Institute of Biomedical Sciences, School of Life Science, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
    BMC Genomics 12:S6. 2011
    ....
  4. ncbi Transcriptomic analysis of pathways regulated by toll-like receptor 4 in a murine model of chronic pulmonary inflammation and carcinogenesis
    Alison K Bauer
    Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
    Mol Cancer 8:107. 2009
    ..This study was designed to identify TLR4-mediated gene expression pathways that may be used as prognostic indicators of susceptibility to lung tumorigenesis in mice and provide insight into the mechanism...
  5. ncbi Modeling biomedical experimental processes with OBI
    Ryan R Brinkman
    British Columbia Cancer Agency, Vancouver, Canada
    J Biomed Semantics 1:S7. 2010
    ..AVAILABILITY : OBI is available at http://purl.obolibrary.org/obo/obi/2009-11-02/obi.owl...
  6. ncbi Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype
    Edward K Lobenhofer
    Cogenics, Division of Clinical Data, Inc, Morrisville, NC 27560, USA
    Genome Biol 9:R100. 2008
    ..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...
  7. ncbi Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories
    Michael J Boedigheimer
    CDER, US FDA, Silver Spring, MD 20993, USA
    BMC Genomics 9:285. 2008
    ....
  8. ncbi Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis
    Jennifer Fostel
    National Center for Toxicogenomics, NIEHS MD F1 05, 111 Alexander Drive, PO Box 12233, Research Triangle Park, NC 27709 2233, USA
    Pharmacogenomics 7:441-54. 2006
    ..To identify biomarkers of chronic fatigue syndrome (CFS) and related disorders through analysis of microarray data, pathology test results and self-report symptom profiles...
  9. ncbi Chemical effects in biological systems--data dictionary (CEBS-DD): a compendium of terms for the capture and integration of biological study design description, conventional phenotypes, and 'omics data
    Jennifer Fostel
    LIMT Lockheed Martin Information Technology LMIT, Research Triangle Park, NC 27709, USA
    Toxicol Sci 88:585-601. 2005
    ..To illustrate the utility of the CEBS-DD, we present an example of integrating data from two proteomics and transcriptomics studies of the response to acute acetaminophen toxicity (A. N. Heinloth et al., 2004, Toxicol. Sci. 80, 193-202)...
  10. ncbi Predictive ADME-Tox London, UK, 27 -- 28 April 2005
    Jennifer Fostel
    US National Center for Toxicogenomics, National Institute for Environmental Health Sciences, Lockheed Martin Information Technology, Research Triangle Park, North Carolina, USA
    Expert Opin Drug Metab Toxicol 1:565-70. 2005
    ..In addition, collaboration to apply novel methods such as metabonomics profiling to withdrawn drugs may permit the identification of new safety biomarkers to prevent such costly failures...
  11. ncbi Sources of variance in baseline gene expression in the rodent liver
    J Christopher Corton
    Integrated Systems Toxicology Division, National Health and Environmental Effects Research Lab, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
    Mutat Res 746:104-12. 2012
    ..Identification of batteries of genes that are altered in a variety of background conditions could be used to predict responses to drugs and chemicals in appropriate models of the human liver...
  12. ncbi CEBS--Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data
    Michael Waters
    NIEHS, National Center for Toxicogenomics, PO Box 12233, Research Triangle Park, NC 27709, USA
    Nucleic Acids Res 36:D892-900. 2008
    ..niehs.nih.gov. BID can be accessed via the user interface from https://dir-apps.niehs.nih.gov/arc/. Requests for a copy of BID and for depositing data into CEBS or BID are available at http://www.niehs.nih.gov/cebs-df/...
  13. ncbi Toxicogenomics and systems toxicology: aims and prospects
    Michael D Waters
    National Center for Toxicogenomics, National Institute of Environmental Health Sciences, PO Box 12233, MD F1 05, 111 Alexander Drive, Research Triangle Park, North Carolina 27709 2233, USA
    Nat Rev Genet 5:936-48. 2004
    ....
  14. ncbi Comparison of drug transporter levels in normal colon, colon cancer, and Caco-2 cells: impact on drug disposition and discovery
    Anna Maria Calcagno
    Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
    Mol Pharm 3:87-93. 2006
    ..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...
  15. ncbi Modulation of cell adhesion molecules in various epithelial cell lines after treatment with PP2
    Anna Maria Calcagno
    Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas 66047, USA
    Mol Pharm 2:170-84. 2005
    ..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...
  16. ncbi Effects of an E-cadherin-derived peptide on the gene expression of Caco-2 cells
    Anna Maria Calcagno
    Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas 66047, USA
    Pharm Res 21:2085-94. 2004
    ..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...
  17. ncbi Future of toxicogenomics and safety signatures: balancing public access to data with proprietary drug discovery
    Jennifer M Fostel
    Pharmacogenomics 8:425-30. 2007