Literature DB >> 30594306

Toxicogenomics: A 2020 Vision.

Zhichao Liu1, Ruili Huang2, Ruth Roberts3, Weida Tong4.   

Abstract

Toxicogenomics (TGx) has contributed significantly to toxicology and now has great potential to support moves towards animal-free approaches in regulatory decision making. Here, we discuss in vitro TGx systems and their potential impact on risk assessment. We raise awareness of the rapid advancement of genomics technologies, which generates novel genomics features essential for enhanced risk assessment. We specifically emphasize the importance of reproducibility in utilizing TGx in the regulatory setting. We also highlight the role of machine learning (particularly deep learning) in developing TGx-based predictive models. Lastly, we touch on the topics of how TGx approaches could facilitate adverse outcome pathways (AOP) development and enhance read-across strategies to further regulatory application. Finally, we summarize current efforts to develop TGx for risk assessment and set out remaining challenges.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  adverse outcome pathways; deep learning; regulatory sciences; reproducibility; toxicogenomics

Mesh:

Year:  2018        PMID: 30594306     DOI: 10.1016/j.tips.2018.12.001

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  28 in total

1.  Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials.

Authors:  Laura Aliisa Saarimäki; Antonio Federico; Iseult Lynch; Anastasios G Papadiamantis; Andreas Tsoumanis; Georgia Melagraki; Antreas Afantitis; Angela Serra; Dario Greco
Journal:  Sci Data       Date:  2021-02-08       Impact factor: 6.444

2.  Public data sources to support systems toxicology applications.

Authors:  Allan Peter Davis; Jolene Wiegers; Thomas C Wiegers; Carolyn J Mattingly
Journal:  Curr Opin Toxicol       Date:  2019-03-11

3.  New "Omics" Approaches as Tools to Explore Mechanistic Nanotoxicology.

Authors:  Célia Ventura; Vukosava Torres; Luís Vieira; Bruno Gomes; António Sebastião Rodrigues; José Rueff; Deborah Penque; Maria João Silva
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

4.  GADD45 in Stress Signaling, Cell Cycle Control, and Apoptosis.

Authors:  Arslon Humayun; Albert J Fornace
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

5.  The Effects of a Mixture of Cadmium, Lead, and Mercury on Metabolic Syndrome and Its Components, as well as Cognitive Impairment: Genes, MicroRNAs, Transcription Factors, and Sponge Relationships : The Effects of a Mixture of Cadmium, Lead, and Mercury on Metabolic Syndrome and Its Components, as well as Cognitive Impairment: Genes, MicroRNAs, Transcription Factors, and Sponge Relationships.

Authors:  Hai Duc Nguyen; Min-Sun Kim
Journal:  Biol Trace Elem Res       Date:  2022-07-07       Impact factor: 3.738

Review 6.  A decade of toxicological trends: what the papers say.

Authors:  Phumzile Sikakana; Ruth A Roberts
Journal:  Toxicol Res (Camb)       Date:  2020-10-08       Impact factor: 3.524

7.  Integrated RNA Sequencing Reveals Epigenetic Impacts of Diesel Particulate Matter Exposure in Human Cerebral Organoids.

Authors:  Stephanie M Bilinovich; Katie L Uhl; Kristy Lewis; Xavier Soehnlen; Michael Williams; Daniel Vogt; Jeremy W Prokop; Daniel B Campbell
Journal:  Dev Neurosci       Date:  2021-03-03       Impact factor: 2.984

8.  Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets.

Authors:  Leihong Wu; Ruili Huang; Igor V Tetko; Zhonghua Xia; Joshua Xu; Weida Tong
Journal:  Chem Res Toxicol       Date:  2021-01-29       Impact factor: 3.739

9.  Evolving Science and Practice of Risk Assessment.

Authors:  Katherine von Stackelberg; Pamela R D Williams
Journal:  Risk Anal       Date:  2020-12-08       Impact factor: 4.000

10.  Comprehensive interpretation of in vitro micronucleus test results for 292 chemicals: from hazard identification to risk assessment application.

Authors:  Byron Kuo; Marc A Beal; John W Wills; Paul A White; Francesco Marchetti; Andy Nong; Tara S Barton-Maclaren; Keith Houck; Carole L Yauk
Journal:  Arch Toxicol       Date:  2022-04-21       Impact factor: 6.168

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