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Journal Abstract Search

479 related items for PubMed ID: 18996174

  • 1. Use of toxicogenomics to understand mechanisms of drug-induced hepatotoxicity during drug discovery and development.
    Blomme EA, Yang Y, Waring JF.
    Toxicol Lett; 2009 Apr 10; 186(1):22-31. PubMed ID: 18996174
    [Abstract] [Full Text] [Related]

  • 2. Utilization of causal reasoning of hepatic gene expression in rats to identify molecular pathways of idiosyncratic drug-induced liver injury.
    Laifenfeld D, Qiu L, Swiss R, Park J, Macoritto M, Will Y, Younis HS, Lawton M.
    Toxicol Sci; 2014 Jan 10; 137(1):234-48. PubMed ID: 24136188
    [Abstract] [Full Text] [Related]

  • 3. Systems toxicology used in nanotoxicology: mechanistic insights into the hepatotoxicity of nano-copper particles from toxicogenomics.
    Yang B, Wang Q, Lei R, Wu C, Shi C, Wang Q, Yuan Y, Wang Y, Luo Y, Hu Z, Ma H, Liao M.
    J Nanosci Nanotechnol; 2010 Dec 10; 10(12):8527-37. PubMed ID: 21121362
    [Abstract] [Full Text] [Related]

  • 4. In vitro transcriptomic prediction of hepatotoxicity for early drug discovery.
    Cheng F, Theodorescu D, Schulman IG, Lee JK.
    J Theor Biol; 2011 Dec 07; 290():27-36. PubMed ID: 21884709
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  • 6. A novel transcriptomics based in vitro method to compare and predict hepatotoxicity based on mode of action.
    De Abrew KN, Overmann GJ, Adams RL, Tiesman JP, Dunavent J, Shan YK, Carr GJ, Daston GP, Naciff JM.
    Toxicology; 2015 Feb 03; 328():29-39. PubMed ID: 25475144
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  • 8. Comparative gene and protein expression analyses of a panel of cytokines in acute and chronic drug-induced liver injury in rats.
    Hanafusa H, Morikawa Y, Uehara T, Kaneto M, Ono A, Yamada H, Ohno Y, Urushidani T.
    Toxicology; 2014 Oct 03; 324():43-54. PubMed ID: 25051504
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  • 9. Use of transcriptomics in understanding mechanisms of drug-induced toxicity.
    Cui Y, Paules RS.
    Pharmacogenomics; 2010 Apr 03; 11(4):573-85. PubMed ID: 20350139
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  • 10. Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans?
    Zhang M, Chen M, Tong W.
    Chem Res Toxicol; 2012 Jan 13; 25(1):122-9. PubMed ID: 22122743
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  • 11. A simple transcriptomic signature able to predict drug-induced hepatic steatosis.
    Benet M, Moya M, Donato MT, Lahoz A, Hervás D, Guzmán C, Gómez-Lechón MJ, Castell JV, Jover R.
    Arch Toxicol; 2014 Apr 13; 88(4):967-82. PubMed ID: 24469900
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  • 12. Toxicogenomics strategies for predicting drug toxicity.
    Martin R, Rose D, Yu K, Barros S.
    Pharmacogenomics; 2006 Oct 13; 7(7):1003-16. PubMed ID: 17054411
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  • 13. Acute hepatotoxicity: a predictive model based on focused illumina microarrays.
    Zidek N, Hellmann J, Kramer PJ, Hewitt PG.
    Toxicol Sci; 2007 Sep 13; 99(1):289-302. PubMed ID: 17522070
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  • 14. Oxidative stress/reactive metabolite gene expression signature in rat liver detects idiosyncratic hepatotoxicants.
    Leone A, Nie A, Brandon Parker J, Sawant S, Piechta LA, Kelley MF, Mark Kao L, Jim Proctor S, Verheyen G, Johnson MD, Lord PG, McMillian MK.
    Toxicol Appl Pharmacol; 2014 Mar 15; 275(3):189-97. PubMed ID: 24486436
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  • 15. A computational toxicogenomics approach identifies a list of highly hepatotoxic compounds from a large microarray database.
    Rueda-Zárate HA, Imaz-Rosshandler I, Cárdenas-Ovando RA, Castillo-Fernández JE, Noguez-Monroy J, Rangel-Escareño C.
    PLoS One; 2017 Mar 15; 12(4):e0176284. PubMed ID: 28448553
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  • 17. Integrative cross-omics analysis in primary mouse hepatocytes unravels mechanisms of cyclosporin A-induced hepatotoxicity.
    Van den Hof WF, Van Summeren A, Lommen A, Coonen ML, Brauers K, van Herwijnen M, Wodzig WK, Kleinjans JC.
    Toxicology; 2014 Oct 03; 324():18-26. PubMed ID: 25047351
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  • 18. The Japanese toxicogenomics project: application of toxicogenomics.
    Uehara T, Ono A, Maruyama T, Kato I, Yamada H, Ohno Y, Urushidani T.
    Mol Nutr Food Res; 2010 Feb 03; 54(2):218-27. PubMed ID: 20041446
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  • 19. Toxicogenomics in drug discovery and development -- making an impact.
    Wills Q, Mitchell C.
    Altern Lab Anim; 2009 Sep 03; 37 Suppl 1():33-7. PubMed ID: 19807202
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  • 20. Quantitative Transcriptional Biomarkers of Xenobiotic Receptor Activation in Rat Liver for the Early Assessment of Drug Safety Liabilities.
    Podtelezhnikov AA, Monroe JJ, Aslamkhan AG, Pearson K, Qin C, Tamburino AM, Loboda AP, Glaab WE, Sistare FD, Tanis KQ.
    Toxicol Sci; 2020 May 01; 175(1):98-112. PubMed ID: 32119089
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