A Tiered Approach for Screening and Assessment of Environmental Mixtures by Omics and In Vitro Assays.
Wendi FangYing PengLu YanPu XiaXiao-Wei ZhangPublished in: Environmental science & technology (2020)
New methodology approaches with a broad coverage of the biological effects are urgently needed to evaluate the safety of the universe of environmentally relevant chemicals. Here, we propose a tiered approach incorporating transcriptomics and in vitro bioassays to assess environmental mixtures. The mixture samples and the perturbed biological pathways are prioritized by concentration-dependent transcriptome (CDT) and then used to guide the selection of in vitro bioassays for toxicant identification. To evaluate omics' screening capability, we first applied a CDT technique to test mixture samples by HepG2 and MCF7 cells. The effect recoveries of large-volume solid-phase extraction on the overall bioactivity of the mixture were 48.9% in HepG2 and 58.3% in MCF7. The overall bioactivity potencies obtained by transcriptomics were positively correlated with the panel of 8 bioassays among 14 mixture samples combined with the previous data. Transcriptomics could predict their activation status (AUC = 0.783) and the relative potency (p < 0.05) of bioassays for four of the eight receptors (AhR, ER, AR, and Nrf2). Furthermore, the CDT identified other biological pathways perturbated by mixture samples, such as the pathway related to TP53, CAR, FXR, HIF, THRA, etc. Overall, this study demonstrates the potential of concentration-dependent omics for effect-based water quality assessment.
Keyphrases
- single cell
- rna seq
- high throughput
- solid phase extraction
- breast cancer cells
- liquid chromatography tandem mass spectrometry
- human health
- ionic liquid
- induced apoptosis
- oxidative stress
- electronic health record
- healthcare
- machine learning
- genome wide
- cell cycle arrest
- gas chromatography mass spectrometry
- tandem mass spectrometry
- endothelial cells
- big data
- liquid chromatography
- estrogen receptor
- ms ms
- dna methylation
- gas chromatography
- drug induced
- health insurance
- endoplasmic reticulum stress