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Journal of Environmental Pathology, Toxicology and Oncology

Published 4 issues per year

ISSN Print: 0731-8898

ISSN Online: 2162-6537

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 2.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.8 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00049 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.59 SJR: 0.429 SNIP: 0.507 CiteScore™:: 3.9 H-Index: 49

Indexed in

Application of DNA Microarray to Toxicological Research

Volume 23, Issue 1, 2004, 20 pages
DOI: 10.1615/JEnvPathToxOncol.v23.i1.20
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ABSTRACT

DNA microarray technology is becoming increasingly popular in the field of toxicological research. Information on the global gene expression profile may provide clues to understanding biological actions of toxic substances at the molecular, cellular, tissue, and individual animal levels. This review focuses on the practical aspects of DNA microarray experiments and their applications to relatively small sizes of research projects in toxicology. Fırst, different types of DNA microarrays and their characters are reviewed. Then, two fundamental concepts of DNA microarray data analysis—supervised and unsupervised methods—and their applications to toxicological research projects are discussed. Typical pitfalls of DNA microarray experiments are examined. Finally, strategies of experimental design and data analysis of minimum scale DNA microarray project are provided.

CITED BY
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  2. Sveshnikova A. N., Ivanov P. S., Biotechnology. Gene expression and microchips: Problems of the quantitative analysis, Russian Journal of General Chemistry, 77, 11, 2007. Crossref

  3. Preston R. Julian, Mechanistic data and cancer risk assessment: The need for quantitative molecular endpoints, Environmental and Molecular Mutagenesis, 45, 2-3, 2005. Crossref

  4. Chen Chin-Fu, Cheng Chun-Huai, Regulation of Cellular Metabolism and Cytokines by the Medicinal Herb Feverfew in the Human Monocytic THP-1 Cells, Evidence-Based Complementary and Alternative Medicine, 6, 1, 2009. Crossref

  5. Ruiz-Garcia Ana, Bermejo Marival, Moss Aaron, Casabo Vicente G., Pharmacokinetics in Drug Discovery, Journal of Pharmaceutical Sciences, 97, 2, 2008. Crossref

  6. Ward Kenneth, Microarray technology in obstetrics and gynecology: A guide for clinicians, American Journal of Obstetrics and Gynecology, 195, 2, 2006. Crossref

  7. Boswell Mikki G., Wells Melissa C., Kirk Lyndsey M., Ju Zhenlin, Zhang Ziping, Booth Rachell E., Walter Ronald B., Comparison of gene expression responses to hypoxia in viviparous (Xiphophorus) and oviparous (Oryzias) fishes using a medaka microarray, Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 149, 2, 2009. Crossref

  8. Ju Zhenlin, Wells Melissa C., Heater Sheila J., Walter Ronald B., Multiple tissue gene expression analyses in Japanese medaka (Oryzias latipes) exposed to hypoxia, Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 145, 1, 2007. Crossref

  9. Hammerling Ulf, Tallsjö Annika, Grafström Roland, Ilbäck Nils-Gunnar, Comparative Hazard Characterization in Food Toxicology, Critical Reviews in Food Science and Nutrition, 49, 7, 2009. Crossref

  10. Muyal Jai Prakash, Singh Shiv K., Fehrenbach Heinz, DNA-Microarray Technology: Comparison of Methodological Factors of Recent Technique Towards Gene Expression Profiling, Critical Reviews in Biotechnology, 28, 4, 2008. Crossref

  11. Ahmed Farid E, Microarray RNA transcriptional profiling: Part I. Platforms, experimental design and standardization, Expert Review of Molecular Diagnostics, 6, 4, 2006. Crossref

  12. Quantitative biology, in Applying Genomic and Proteomic Microarray Technology in Drug Discovery, 2004. Crossref

  13. High Throughput Screening and Microarray Analysis, in Principles of Toxicology Testing, 2007. Crossref

  14. Cell culture methodology, in Principles of Toxicology Testing, 2013. Crossref

  15. Omics and Microarrays Revisited, in Applying Genomic and Proteomic Microarray Technology in Drug Discovery, Second Edition, 2013. Crossref

  16. Kim Jin-Baek, Kim Sang Hoon, Ha Bo-Keun, Kang Si-Yong, Jang Cheol Seong, Seo Yong Weon, Kim Dong Sub, Differentially expressed genes in response to gamma-irradiation during the vegetative stage in Arabidopsis thaliana, Molecular Biology Reports, 41, 4, 2014. Crossref

  17. Gao Xiugong, Yourick Jeffrey J., Topping Vanessa D., Black Thomas, Olejnik Nicholas, Keltner Zachary, Sprando Robert L., Toxicogenomic study in rat thymus of F1 generation offspring following maternal exposure to silver ion, Toxicology Reports, 2, 2015. Crossref

  18. Sahu Saura C., Zheng Jiwen, Yourick Jeffrey J., Sprando Robert L., Gao Xiugong, Toxicogenomic responses of human liver HepG2 cells to silver nanoparticles, Journal of Applied Toxicology, 35, 10, 2015. Crossref

  19. Wishart David S., Bioinformatics in Drug Development and Assessment, Drug Metabolism Reviews, 37, 2, 2005. Crossref

  20. Jin Hui-Ying, Microarray analysis ofEscherichia coliO157:H7, World Journal of Gastroenterology, 11, 37, 2005. Crossref

  21. Hirakawa Brad, Jessen Bart A., Illanes Oscar, de Peyster Ann, McDermott Thomas, Stevens Gregory J., Toxicogenomic Analysis of Cardiotoxicity in Rats, Genomics Insights, 1, 2008. Crossref

  22. Seliger Hartmut, Introduction, in Microarrays, 2007. Crossref

  23. Ganter Brigitte, Snyder Ronald D, Halbert Donald N, Lee May D, Toxicogenomics in drug discovery and development: mechanistic analysis of compound/class-dependent effects using the DrugMatrix® database, Pharmacogenomics, 7, 7, 2006. Crossref

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