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Items: 1 to 20 of 83

1.
2.

Hybrid in silico models for drug-induced liver injury using chemical descriptors and in vitro cell-imaging information.

Zhu XW, Sedykh A, Liu SS.

J Appl Toxicol. 2014 Mar;34(3):281-8. doi: 10.1002/jat.2879. Epub 2013 May 3.

3.

Effects of dietary phenolics and botanical extracts on hepatotoxicity-related endpoints in human and rat hepatoma cells and statistical models for prediction of hepatotoxicity.

Liu Y, Flynn TJ, Ferguson MS, Hoagland EM, Yu LL.

Food Chem Toxicol. 2011 Aug;49(8):1820-7. doi: 10.1016/j.fct.2011.04.034. Epub 2011 May 5.

PMID:
21569817
4.

High concordance of drug-induced human hepatotoxicity with in vitro cytotoxicity measured in a novel cell-based model using high content screening.

O'Brien PJ, Irwin W, Diaz D, Howard-Cofield E, Krejsa CM, Slaughter MR, Gao B, Kaludercic N, Angeline A, Bernardi P, Brain P, Hougham C.

Arch Toxicol. 2006 Sep;80(9):580-604. Epub 2006 Apr 6.

PMID:
16598496
5.

Acute hepatotoxicity: a predictive model based on focused illumina microarrays.

Zidek N, Hellmann J, Kramer PJ, Hewitt PG.

Toxicol Sci. 2007 Sep;99(1):289-302. Epub 2007 May 22.

PMID:
17522070
6.

A multicenter assessment of single-cell models aligned to standard measures of cell health for prediction of acute hepatotoxicity.

Sison-Young RL, Lauschke VM, Johann E, Alexandre E, Antherieu S, Aerts H, Gerets HH, Labbe G, Hoët D, Dorau M, Schofield CA, Lovatt CA, Holder JC, Stahl SH, Richert L, Kitteringham NR, Jones RP, Elmasry M, Weaver RJ, Hewitt PG, Ingelman-Sundberg M, Goldring CE, Park BK.

Arch Toxicol. 2017 Mar;91(3):1385-1400. doi: 10.1007/s00204-016-1745-4. Epub 2016 Jun 25.

7.

Classification of hepatotoxicants using HepG2 cells: A proof of principle study.

Van den Hof WF, Coonen ML, van Herwijnen M, Brauers K, Wodzig WK, van Delft JH, Kleinjans JC.

Chem Res Toxicol. 2014 Mar 17;27(3):433-42. doi: 10.1021/tx4004165. Epub 2014 Jan 28.

PMID:
24437676
8.

Measuring and modeling of binary mixture effects of pharmaceuticals and nickel on cell viability/cytotoxicity in the human hepatoma derived cell line HepG2.

Rudzok S, Schlink U, Herbarth O, Bauer M.

Toxicol Appl Pharmacol. 2010 May 1;244(3):336-43. doi: 10.1016/j.taap.2010.01.012. Epub 2010 Feb 2.

PMID:
20132835
10.
11.

Prediction of compound signature using high density gene expression profiling.

Hamadeh HK, Bushel PR, Jayadev S, DiSorbo O, Bennett L, Li L, Tennant R, Stoll R, Barrett JC, Paules RS, Blanchard K, Afshari CA.

Toxicol Sci. 2002 Jun;67(2):232-40.

PMID:
12011482
12.

How to reduce false positive results when undertaking in vitro genotoxicity testing and thus avoid unnecessary follow-up animal tests: Report of an ECVAM Workshop.

Kirkland D, Pfuhler S, Tweats D, Aardema M, Corvi R, Darroudi F, Elhajouji A, Glatt H, Hastwell P, Hayashi M, Kasper P, Kirchner S, Lynch A, Marzin D, Maurici D, Meunier JR, Müller L, Nohynek G, Parry J, Parry E, Thybaud V, Tice R, van Benthem J, Vanparys P, White P.

Mutat Res. 2007 Mar 30;628(1):31-55. Epub 2007 Jan 13.

PMID:
17293159
13.

HepG2 cells simultaneously expressing five P450 enzymes for the screening of hepatotoxicity: identification of bioactivable drugs and the potential mechanism of toxicity involved.

Tolosa L, Gómez-Lechón MJ, Pérez-Cataldo G, Castell JV, Donato MT.

Arch Toxicol. 2013 Jun;87(6):1115-27. doi: 10.1007/s00204-013-1012-x. Epub 2013 Feb 9.

PMID:
23397584
14.

Role of tissue repair in toxicologic interactions among hepatotoxic organics.

Soni MG, Mehendale HM.

Environ Health Perspect. 1998 Dec;106 Suppl 6:1307-17. Review.

15.

Alternative methods for the median lethal dose (LD(50)) test: the up-and-down procedure for acute oral toxicity.

Rispin A, Farrar D, Margosches E, Gupta K, Stitzel K, Carr G, Greene M, Meyer W, McCall D.

ILAR J. 2002;43(4):233-43.

PMID:
12391399
16.

Identification of a metabolic biomarker panel in rats for prediction of acute and idiosyncratic hepatotoxicity.

Sun J, Slavov S, Schnackenberg LK, Ando Y, Greenhaw J, Yang X, Salminen W, Mendrick DL, Beger R.

Comput Struct Biotechnol J. 2014 Aug 9;10(17):78-89. doi: 10.1016/j.csbj.2014.08.001. eCollection 2014 Jul.

17.

In silico models for the prediction of dose-dependent human hepatotoxicity.

Cheng A, Dixon SL.

J Comput Aided Mol Des. 2003 Dec;17(12):811-23.

PMID:
15124930
18.

Expression profile of liver genes in response to hepatotoxicants identified using a SAGE-based customized DNA microarray system.

Inadera H, Tachibana S, Takasaki I, Tabuchi Y, Matsushima K, Uchida M, Shimomura A.

Toxicol Lett. 2008 Feb 28;177(1):20-30. doi: 10.1016/j.toxlet.2007.12.004. Epub 2007 Dec 23.

PMID:
18243596
19.

Tissue repair: an important determinant of final outcome of toxicant-induced injury.

Mehendale HM.

Toxicol Pathol. 2005;33(1):41-51. Review.

PMID:
15805055
20.

Discriminating the molecular basis of hepatotoxicity using the large-scale characteristic molecular signatures of toxicants by expression profiling analysis.

Eun JW, Ryu SY, Noh JH, Lee MJ, Jang JJ, Ryu JC, Jung KH, Kim JK, Bae HJ, Xie H, Kim SY, Lee SH, Park WS, Yoo NJ, Lee JY, Nam SW.

Toxicology. 2008 Jul 30;249(2-3):176-83. doi: 10.1016/j.tox.2008.05.001. Epub 2008 May 14.

PMID:
18579281

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