Using transcriptomics, proteomics and phosphoproteomics as new approach methodology (NAM) to define biological responses for chemical safety assessment

转录组 蛋白质组学 计算生物学 磷酸蛋白质组学 生物 蛋白质组 毒理基因组学 代谢组学 生物途径 系统生物学 生物信息学 基因表达 生物化学 基因 酶 蛋白质磷酸化 蛋白激酶A
作者
Yuan Li,Zhenpeng Zhang,Songhao Jiang,Feng Xu,Liz Tulum,Kaixuan Li,Shu Liu,Suzhen Li,Lei Chang,Mark Liddell,Feng‐Juan Tu,Xuelan Gu,Paul L. Carmichael,Andrew White,Shuangqing Peng,Qiang Zhang,Jin Li,Tao Zuo,Predrag Kukić,Ping Xu
出处
期刊:Chemosphere [Elsevier BV]
卷期号:313: 137359-137359 被引量:26
标识
DOI:10.1016/j.chemosphere.2022.137359
摘要

Omic-based technologies are of particular interest and importance for hazard identification and health risk characterization of chemicals. Their application in the new approach methodologies (NAMs) anchored on cellular toxicity pathways is based on the premise that any apical health endpoint change must be underpinned by some alterations at the omic levels. In the present study we examined the cellular responses to two chemicals, caffeine and coumarin, by generating and integrating multi-omic data from multi-dose and multi-time point transcriptomic, proteomic and phosphoproteomic experiments. We showed that the methodology presented here was able to capture the complete chain of events from the first chemical-induced changes at the phosphoproteome level, to changes in gene expression, and lastly to changes in protein abundance, each with vastly different points of departure (PODs). In HepG2 cells we found that the metabolism of lipids and general cellular stress response to be the dominant biological processes in response to caffeine and coumarin exposure, respectively. The phosphoproteomic changes were detected early in time, at very low doses and provided a fast, adaptive cellular response to chemical exposure with 7-37-fold lower points of departure comparing to the transcriptomics. Changes in protein abundance were found much less frequently than transcriptomic changes. While challenges remain, our study provides strong and novel evidence supporting the notion that these three omic technologies can be used in an integrated manner to facilitate a more complete understanding of pathway perturbations and POD determinations for risk assessment of chemical exposures.
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