Literature DB >> 22634710

Discrimination of genotoxic and non-genotoxic hepatocarcinogens by statistical analysis based on gene expression profiling in the mouse liver as determined by quantitative real-time PCR.

Takashi Watanabe1, Takayoshi Suzuki, Masakatsu Natsume, Madoka Nakajima, Kazunori Narumi, Shuichi Hamada, Tomohiro Sakuma, Akiko Koeda, Keiyu Oshida, Yohei Miyamoto, Akihisa Maeda, Michiasa Hirayama, Hisakazu Sanada, Hiroshi Honda, Wakako Ohyama, Emiko Okada, Yohei Fujiishi, Shizuyo Sutou, Ayami Tadakuma, Yasuyoshi Ishikawa, Mahoko Kido, Rina Minamiguchi, Izumi Hanahara, Chie Furihata.   

Abstract

The general aim of the present study is to discriminate between mouse genotoxic and non-genotoxic hepatocarcinogens via selected gene expression patterns in the liver as analyzed by quantitative real-time PCR (qPCR) and statistical analysis. qPCR was conducted on liver samples from groups of 5 male, 9-week-old B6C3F(1) mice, at 4 and 48h following a single intraperitoneal administration of chemicals. We quantified 35 genes selected from our previous DNA microarray studies using 12 different chemicals: 8 genotoxic hepatocarcinogens (2-acetylaminofluorene, 2,4-diaminotoluene, diisopropanolnitrosamine, 4-dimethylaminoazobenzene, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, N-nitrosomorpholine, quinoline and urethane) and 4 non-genotoxic hepatocarcinogens (1,4-dichlorobenzene, dichlorodiphenyltrichloroethane, di(2-ethylhexyl)phthalate and furan). A considerable number of genes exhibited significant changes in their gene expression ratios (experimental group/control group) analyzed statistically by the Dunnett's test and Welch's t-test. Finally, we distinguished between the genotoxic and non-genotoxic hepatocarcinogens by statistical analysis using principal component analysis (PCA) of the gene expression profiles for 7 genes (Btg2, Ccnf, Ccng1, Lpr1, Mbd1, Phlda3 and Tubb2c) at 4h and for 12 genes (Aen, Bax, Btg2, Ccnf, Ccng1, Cdkn1a, Gdf15, Lrp1, Mbd1, Phlda3, Plk2 and Tubb2c) at 48h. Seven major biological processes were extracted from the gene ontology analysis: apoptosis, the cell cycle, cell proliferation, DNA damage, DNA repair, oncogenes and tumor suppression. The major, biologically relevant gene pathway suggested was the DNA damage response pathway, resulting from signal transduction by a p53-class mediator leading to the induction of apoptosis. Eight genes (Aen, Bax, Btg2, Ccng1, Cdkn1a, Gdf15, Phlda3 and Plk2) that are directly associated with Trp53 contributed to the PCA. The current findings demonstrate a successful discrimination between genotoxic and non-genotoxic hepatocarcinogens, using qPCR and PCA, on 12 genes associated with a Trp53-mediated signaling pathway for DNA damage response at 4 and 48 h after a single administration of chemicals.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22634710     DOI: 10.1016/j.mrgentox.2012.04.011

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  10 in total

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Review 3.  Collaborative studies in toxicogenomics in rodent liver in JEMS·MMS; a useful application of principal component analysis on toxicogenomics.

Authors:  Chie Furihata; Takashi Watanabe; Takayoshi Suzuki; Shuichi Hamada; Madoka Nakajima
Journal:  Genes Environ       Date:  2016-08-01

4.  Procarcinogens - Determination and Evaluation by Yeast-Based Biosensor Transformed with Plasmids Incorporating RAD54 Reporter Construct and Cytochrome P450 Genes.

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Journal:  PLoS One       Date:  2016-12-22       Impact factor: 3.240

5.  Using FFPE RNA-Seq with 12 marker genes to evaluate genotoxic and non-genotoxic rat hepatocarcinogens.

Authors:  Chie Furihata; Xinyue You; Takeshi Toyoda; Kumiko Ogawa; Takayoshi Suzuki
Journal:  Genes Environ       Date:  2020-03-30

6.  RAID: Regression Analysis-Based Inductive DNA Microarray for Precise Read-Across.

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Journal:  Front Pharmacol       Date:  2022-07-22       Impact factor: 5.988

7.  Activation of the hypothalamic-pituitary-adrenal axis by exogenous and endogenous GDF15.

Authors:  Irene Cimino; Hanna Kim; Y C Loraine Tung; Kent Pedersen; Debra Rimmington; John A Tadross; Sara N Kohnke; Ana Neves-Costa; André Barros; Stephanie Joaquim; Don Bennett; Audrey Melvin; Samuel M Lockhart; Anthony J Rostron; Jonathan Scott; Hui Liu; Keith Burling; Peter Barker; Menna R Clatworthy; E-Chiang Lee; A John Simpson; Giles S H Yeo; Luís F Moita; Kendra K Bence; Sebastian Beck Jørgensen; Anthony P Coll; Danna M Breen; Stephen O'Rahilly
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-06       Impact factor: 12.779

8.  Investigating the different mechanisms of genotoxic and non-genotoxic carcinogens by a gene set analysis.

Authors:  Won Jun Lee; Sang Cheol Kim; Seul Ji Lee; Jeongmi Lee; Jeong Hill Park; Kyung-Sang Yu; Johan Lim; Sung Won Kwon
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

9.  p53-Dependent and cell specific epigenetic regulation of the polo-like kinases under oxidative stress.

Authors:  Alejandra Ward; John W Hudson
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

10.  A toxicogenomic approach for the risk assessment of the food contaminant acetamide.

Authors:  Rance Nault; Bryan Bals; Farzaneh Teymouri; Michael B Black; Melvin E Andersen; Patrick D McMullen; Seetha Krishnan; Nagesh Kuravadi; Neetha Paul; Santhosh Kumar; Kamala Kannan; K C Jayachandra; Lakshmanan Alagappan; Bhavesh Dhirajlal Patel; Kenneth T Bogen; Bhaskar B Gollapudi; James E Klaunig; Tim R Zacharewski; Venkataraman Bringi
Journal:  Toxicol Appl Pharmacol       Date:  2019-12-24       Impact factor: 4.219

  10 in total

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