Literature DB >> 22790972

A decade of toxicogenomic research and its contribution to toxicological science.

Minjun Chen1, Min Zhang, Jürgen Borlak, Weida Tong.   

Abstract

Toxicogenomics enjoyed considerable attention as a ground-breaking addition to conventional toxicology assays at its inception. However, the pace at which toxicogenomics was expected to perform has been tempered in recent years. Next to cost, the lack of advanced knowledge discovery and data mining tools significantly hampered progress in this new field of toxicological sciences. Recently, two of the largest toxicogenomics databases were made freely available to the public. These comprehensive studies are expected to stimulate knowledge discovery and development of novel data mining tools, which are essential to advance this field. In this review, we provide a concise summary of each of these two databases with a brief discussion on the commonalities and differences between them. We place our emphasis on some key questions in toxicogenomics and how these questions can be appropriately addressed with the two databases. Finally, we provide a perspective on the future direction of toxicogenomics and how new technologies such as RNA-Seq may impact this field.

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Year:  2012        PMID: 22790972     DOI: 10.1093/toxsci/kfs223

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


  43 in total

1.  The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.

Authors:  Charles Wang; Binsheng Gong; Pierre R Bushel; Jean Thierry-Mieg; Danielle Thierry-Mieg; Joshua Xu; Hong Fang; Huixiao Hong; Jie Shen; Zhenqiang Su; Joe Meehan; Xiaojin Li; Lu Yang; Haiqing Li; Paweł P Łabaj; David P Kreil; Dalila Megherbi; Stan Gaj; Florian Caiment; Joost van Delft; Jos Kleinjans; Andreas Scherer; Viswanath Devanarayan; Jian Wang; Yong Yang; Hui-Rong Qian; Lee J Lancashire; Marina Bessarabova; Yuri Nikolsky; Cesare Furlanello; Marco Chierici; Davide Albanese; Giuseppe Jurman; Samantha Riccadonna; Michele Filosi; Roberto Visintainer; Ke K Zhang; Jianying Li; Jui-Hua Hsieh; Daniel L Svoboda; James C Fuscoe; Youping Deng; Leming Shi; Richard S Paules; Scott S Auerbach; Weida Tong
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

2.  A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model.

Authors:  Minjun Chen; Chun-Wei Tung; Qiang Shi; Lei Guo; Leming Shi; Hong Fang; Jürgen Borlak; Weida Tong
Journal:  Arch Toxicol       Date:  2014-06-11       Impact factor: 5.153

Review 3.  Back to the Future - Part 2. Post-mortem assessment and evolutionary role of the bio-medicolegal sciences.

Authors:  Santo Davide Ferrara; Giovanni Cecchetto; Rossana Cecchi; Donata Favretto; Silke Grabherr; Takaki Ishikawa; Toshikazu Kondo; Massimo Montisci; Heidi Pfeiffer; Maurizio Rippa Bonati; Dina Shokry; Marielle Vennemann; Thomas Bajanowski
Journal:  Int J Legal Med       Date:  2017-04-25       Impact factor: 2.686

Review 4.  Managing the sequence-specificity of antisense oligonucleotides in drug discovery.

Authors:  Peter H Hagedorn; Bo R Hansen; Troels Koch; Morten Lindow
Journal:  Nucleic Acids Res       Date:  2017-03-17       Impact factor: 16.971

5.  Toxicogenomic module associations with pathogenesis: a network-based approach to understanding drug toxicity.

Authors:  J J Sutherland; Y W Webster; J A Willy; G H Searfoss; K M Goldstein; A R Irizarry; D G Hall; J L Stevens
Journal:  Pharmacogenomics J       Date:  2017-04-25       Impact factor: 3.550

6.  Enrichment with wood blocks does not affect toxicity assessment in an exploratory toxicology model using Sprague-Dawley rats.

Authors:  Amy C Ditewig; Natalie A Bratcher; Donna R Davila; Brian D Dayton; Paige Ebert; Philippe Lesuisse; Michael J Liguori; Jill M Wetter; Hyuna Yang; Wayne R Buck
Journal:  J Am Assoc Lab Anim Sci       Date:  2014-05       Impact factor: 1.232

7.  Evaluating genotoxic risks in Brazilian public health agents occupationally exposed to pesticides: a multi-biomarker approach.

Authors:  Fernanda Craveiro Franco; Alessandro Arruda Alves; Fernanda Ribeiro Godoy; Juliana Boaventura Avelar; Douglas Dantas Rodrigues; Thays Millena Alves Pedroso; Aparecido Divino da Cruz; Fausto Nomura; Daniela de Melo E Silva
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-13       Impact factor: 4.223

8.  A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.

Authors:  Kamin J Johnson; Scott S Auerbach; Eduardo Costa
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

9.  Safety Assessments of Nickel Boride Nanoparticles on the Human Pulmonary Alveolar Cells by Using Cell Viability and Gene Expression Analyses.

Authors:  Hasan Türkez; Mehmet Enes Arslan; Erdal Sönmez; Abdulgani Tatar; Fatime Geyikoğlu; Metin Açikyildiz; Adil Mardinoğlu
Journal:  Biol Trace Elem Res       Date:  2020-09-09       Impact factor: 3.738

10.  Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury.

Authors:  Leihong Wu; Zhichao Liu; Scott Auerbach; Ruili Huang; Minjun Chen; Kristin McEuen; Joshua Xu; Hong Fang; Weida Tong
Journal:  J Chem Inf Model       Date:  2017-04-10       Impact factor: 4.956

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