Literature DB >> 22889811

RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.

Joost van Delft1, Stan Gaj, Matthias Lienhard, Marcus W Albrecht, Alexander Kirpiy, Karen Brauers, Sandra Claessen, Daneida Lizarraga, Hans Lehrach, Ralf Herwig, Jos Kleinjans.   

Abstract

Whole-genome transcriptome measurements are pivotal for characterizing molecular mechanisms of chemicals and predicting toxic classes, such as genotoxicity and carcinogenicity, from in vitro and in vivo assays. In recent years, deep sequencing technologies have been developed that hold the promise of measuring the transcriptome in a more complete and unbiased manner than DNA microarrays. Here, we applied this RNA-seq technology for the characterization of the transcriptomic responses in HepG2 cells upon exposure to benzo[a]pyrene (BaP), a well-known DNA damaging human carcinogen. Based on EnsEMBL genes, we demonstrate that RNA-seq detects ca 20% more genes than microarray-based technology but almost threefold more significantly differentially expressed genes. Functional enrichment analyses show that RNA-seq yields more insight into the biology and mechanisms related to the toxic effects caused by BaP, i.e., two- to fivefold more affected pathways and biological processes. Additionally, we demonstrate that RNA-seq allows detecting alternative isoform expression in many genes, including regulators of cell death and DNA repair such as TP53, BCL2 and XPA, which are relevant for genotoxic responses. Moreover, potentially novel isoforms were found, such as fragments of known transcripts, transcripts with additional exons, intron retention or exon-skipping events. The biological function(s) of these isoforms remain for the time being unknown. Finally, we demonstrate that RNA-seq enables the investigation of allele-specific gene expression, although no changes could be observed. Our results provide evidence that RNA-seq is a powerful tool for toxicology, which, compared with microarrays, is capable of generating novel and valuable information at the transcriptome level for characterizing deleterious effects caused by chemicals.

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Year:  2012        PMID: 22889811     DOI: 10.1093/toxsci/kfs250

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  25 in total

1.  Transcriptomic Changes in Zebrafish Embryos and Larvae Following Benzo[a]pyrene Exposure.

Authors:  Xiefan Fang; Jone Corrales; Cammi Thornton; Tracy Clerk; Brian E Scheffler; Kristine L Willett
Journal:  Toxicol Sci       Date:  2015-05-21       Impact factor: 4.849

2.  RNA-seq data analysis at the gene and CDS levels provides a comprehensive view of transcriptome responses induced by 4-hydroxynonenal.

Authors:  Qi Liu; Jody Ullery; Jing Zhu; Daniel C Liebler; Lawrence J Marnett; Bing Zhang
Journal:  Mol Biosyst       Date:  2013-09-20

Review 3.  From Classical Toxicology to Tox21: Some Critical Conceptual and Technological Advances in the Molecular Understanding of the Toxic Response Beginning From the Last Quarter of the 20th Century.

Authors:  Supratim Choudhuri; Geoffrey W Patton; Ronald F Chanderbhan; Antonia Mattia; Curtis D Klaassen
Journal:  Toxicol Sci       Date:  2018-01-01       Impact factor: 4.849

4.  Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data.

Authors:  Nicolas Borisov; Maria Suntsova; Maxim Sorokin; Andrew Garazha; Olga Kovalchuk; Alexander Aliper; Elena Ilnitskaya; Ksenia Lezhnina; Mikhail Korzinkin; Victor Tkachev; Vyacheslav Saenko; Yury Saenko; Dmitry G Sokov; Nurshat M Gaifullin; Kirill Kashintsev; Valery Shirokorad; Irina Shabalina; Alex Zhavoronkov; Bhubaneswar Mishra; Charles R Cantor; Anton Buzdin
Journal:  Cell Cycle       Date:  2017-08-21       Impact factor: 4.534

Review 5.  Analysis of the transcriptome in molecular epidemiology studies.

Authors:  Cliona M McHale; Luoping Zhang; Reuben Thomas; Martyn T Smith
Journal:  Environ Mol Mutagen       Date:  2013-08-01       Impact factor: 3.216

6.  ZEBRAFISH AS AN IN VIVO MODEL FOR SUSTAINABLE CHEMICAL DESIGN.

Authors:  Pamela D Noyes; Gloria R Garcia; Robert L Tanguay
Journal:  Green Chem       Date:  2016-10-21       Impact factor: 10.182

Review 7.  Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in drinking water.

Authors:  Ivy Moffat; Nikolai Chepelev; Sarah Labib; Julie Bourdon-Lacombe; Byron Kuo; Julie K Buick; France Lemieux; Andrew Williams; Sabina Halappanavar; Amal Malik; Mirjam Luijten; Jiri Aubrecht; Daniel R Hyduke; Albert J Fornace; Carol D Swartz; Leslie Recio; Carole L Yauk
Journal:  Crit Rev Toxicol       Date:  2015-01       Impact factor: 5.635

8.  First-generation annotations for the fathead minnow (Pimephales promelas) genome.

Authors:  Travis W Saari; Anthony L Schroeder; Gerald T Ankley; Daniel L Villeneuve
Journal:  Environ Toxicol Chem       Date:  2017-08-29       Impact factor: 3.742

9.  RNA-Seq gene expression profiling of HepG2 cells: the influence of experimental factors and comparison with liver tissue.

Authors:  Alexander V Tyakht; Elena N Ilina; Dmitry G Alexeev; Dmitry S Ischenko; Alexey Y Gorbachev; Tatiana A Semashko; Andrei K Larin; Oksana V Selezneva; Elena S Kostryukova; Pavel A Karalkin; Igor V Vakhrushev; Leonid K Kurbatov; Alexander I Archakov; Vadim M Govorun
Journal:  BMC Genomics       Date:  2014-12-15       Impact factor: 3.969

10.  High-throughput data integration of RNA-miRNA-circRNA reveals novel insights into mechanisms of benzo[a]pyrene-induced carcinogenicity.

Authors:  Florian Caiment; Stan Gaj; Sandra Claessen; Jos Kleinjans
Journal:  Nucleic Acids Res       Date:  2015-02-17       Impact factor: 16.971

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