An Integrative Multi-Omics Workflow to Address Multifactorial Toxicology Experiments.

ABSTRACT: Toxicology studies can take advantage of omics approaches to better understand the phenomena underlying the phenotypic alterations induced by different types of exposure to certain toxicants. Nevertheless, in order to analyse the data generated from multifactorial omics studies, dedicated data analysis tools are needed. In this work, we propose a new workflow comprising both factor deconvolution and data integration from multiple analytical platforms. As a case study, 3D neural cell cultures were exposed to trimethyltin (TMT) and the relevance of the culture maturation state, the exposure duration, as well as the TMT concentration were simultaneously studied using a metabolomic approach combining four complementary analytical techniques (reversed-phase LC and hydrophilic inte

SUBMITTER: Gonzalez-Ruiz V 

PROVIDER: S-EPMC6523777 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature