title: Omics in mechanistic and predictive toxicology.
abstract: High-throughput omics strategies delineate the molecular mechanism of toxicity, predict the toxicity of newer drugs and chemicals, and identify individuals at high risks on the basis of expression patterns of messenger ribonucleic acids, genes, and proteins, and detection of intermediary metabolites. Despite being a developing country, India is one of the fastest growing nations in the usages and applications of omics technologies. Several differentially expressed genes and proteins under various pathological and toxicant-exposed conditions have been identified, and many association studies on genetic polymorphisms with toxicant-induced diseases have been conducted for the predictive and mechanistic purposes. To date, omics-driven approaches have identified some novel fingerprints associated with disease risk/protection and prediction of toxicity of newer chemicals. Although the contributions of such findings in the mechanistic toxicology have been immense, predictive values of these findings in toxicology have been limited. In this review, the current status of omics-based research and its future possibilities at the Indian Institute of Toxicology Research (IITR), Lucknow, India, have been discussed.
authors.affiliation: Indian Institute of Toxicology Research (Council of Scientific and Industrial Research), Lucknow-226 001, India.
authors.forename: Seema
authors.initials: S
authors.lastname: Singh
authors.forename: Naveen Kumar
authors.initials: NK
authors.lastname: Singhal
authors.forename: Garima
authors.initials: G
authors.lastname: Srivastava
authors.forename: Mahendra Pratap
authors.initials: MP
authors.lastname: Singh
mesh_terms: D015415:Biomarkers; D015894:Genome, Human; D006801:Humans; D007194:India; D055442:Metabolome; D011110:Polymorphism, Genetic; D020543:Proteome; D014116:Toxicology / Q000379:methods*; D015262:Xenobiotics / Q000633:toxicity*
chemical_list: D015415:Biomarkers; D020543:Proteome; D015262:Xenobiotics