Literature DB >> 16209655

Systems toxicology: applications of toxicogenomics, transcriptomics, proteomics and metabolomics in toxicology.

Wilbert H M Heijne1, Anne S Kienhuis, Ben van Ommen, Rob H Stierum, John P Groten.   

Abstract

Toxicogenomics can facilitate the identification and characterization of toxicity, as illustrated in this review. Toxicogenomics, the application of the functional genomics technologies (transcriptomics, proteomics and metabolomics) in toxicology enables the study of adverse effects of xenobiotic substances in relation to structure and activity of the genome. The advantages and limitations of the different technologies are evaluated, and the prospects for integration of the technologies into a systems biology or systems toxicology approach are discussed. Applications of toxicogenomics in various laboratories around the world show that the crucial steps and sequence of events at the molecular level can be studied to provide detailed insights into mechanisms of toxic action. Toxicogenomics allowed for more sensitive and earlier detection of adverse effects in (animal) toxicity studies. Furthermore, the effects of exposure to mixtures could be studied in more detail. This review argues that in the (near) future, human health risk assessment will truly benefit from toxicogenomics (systems toxicology).

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Year:  2005        PMID: 16209655     DOI: 10.1586/14789450.2.5.767

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  33 in total

Review 1.  Use of transcriptomics in understanding mechanisms of drug-induced toxicity.

Authors:  Yuxia Cui; Richard S Paules
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

2.  Integrated transcriptional and proteomic analysis with in vitro biochemical assay reveal the important role of CYP3A46 in T-2 toxin hydroxylation in porcine primary hepatocytes.

Authors:  Jianshe Wang; Jun Jiang; Hongxia Zhang; Junping Wang; Hua Cai; Cheng Li; Kangbai Li; Jing Liu; Xuejiang Guo; Guangxun Zou; Dazhi Wang; Yiqun Deng; Jiayin Dai
Journal:  Mol Cell Proteomics       Date:  2011-06-16       Impact factor: 5.911

Review 3.  Metabolomics: Applications and Promise in Mycobacterial Disease.

Authors:  Mehdi Mirsaeidi; Mohammad Mehdi Banoei; Brent W Winston; Dean E Schraufnagel
Journal:  Ann Am Thorac Soc       Date:  2015-09

4.  Predicting mechanism of action of cellular perturbations with pathway activity signatures.

Authors:  Yan Ren; Siva Sivaganesan; Nicholas A Clark; Lixia Zhang; Jacek Biesiada; Wen Niu; David R Plas; Mario Medvedovic
Journal:  Bioinformatics       Date:  2020-09-15       Impact factor: 6.937

5.  Liquid chromatography-mass spectrometry-based parallel metabolic profiling of human and mouse model serum reveals putative biomarkers associated with the progression of nonalcoholic fatty liver disease.

Authors:  Jonathan Barr; Mercedes Vázquez-Chantada; Cristina Alonso; Miriam Pérez-Cormenzana; Rebeca Mayo; Asier Galán; Juan Caballería; Antonio Martín-Duce; Albert Tran; Conrad Wagner; Zigmund Luka; Shelly C Lu; Azucena Castro; Yannick Le Marchand-Brustel; M Luz Martínez-Chantar; Nicolas Veyrie; Karine Clément; Joan Tordjman; Philippe Gual; José M Mato
Journal:  J Proteome Res       Date:  2010-09-03       Impact factor: 4.466

Review 6.  Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.

Authors:  Yen Sia Low; Alexander Yeugenyevich Sedykh; Ivan Rusyn; Alexander Tropsha
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

Review 7.  Review: toxicometabolomics.

Authors:  Mounir Bouhifd; Thomas Hartung; Helena T Hogberg; Andre Kleensang; Liang Zhao
Journal:  J Appl Toxicol       Date:  2013-05-30       Impact factor: 3.446

8.  Paintomics: a web based tool for the joint visualization of transcriptomics and metabolomics data.

Authors:  Fernando García-Alcalde; Federico García-López; Joaquín Dopazo; Ana Conesa
Journal:  Bioinformatics       Date:  2010-11-23       Impact factor: 6.937

Review 9.  The role of molecular biology in the biomonitoring of human exposure to chemicals.

Authors:  Balam Muñoz; Arnulfo Albores
Journal:  Int J Mol Sci       Date:  2010-11-12       Impact factor: 5.923

10.  Constructing a fish metabolic network model.

Authors:  Shuzhao Li; Alexander Pozhitkov; Rachel A Ryan; Charles S Manning; Nancy Brown-Peterson; Marius Brouwer
Journal:  Genome Biol       Date:  2010-11-29       Impact factor: 13.583

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