Limonciel Alice, Moenks Konrad, Stanzel Sven, Truisi Germaine L, Parmentier Céline, Aschauer Lydia, Wilmes Anja, Richert Lysiane, Hewitt Philip, Mueller Stefan O, Lukas Arno, Kopp-Schneider Annette, Leonard Martin O, Jennings Paul
Department of Physiology, Medical University of Innsbruck, Innsbruck, Austria.
Emergentec Biodevelopment GmbH, Vienna, Austria.
Toxicol In Vitro. 2015 Dec 25;30(1 Pt A):7-18. doi: 10.1016/j.tiv.2014.12.011. Epub 2015 Jan 13.
High content omic methods provide a deep insight into cellular events occurring upon chemical exposure of a cell population or tissue. However, this improvement in analytic precision is not yet matched by a thorough understanding of molecular mechanisms that would allow an optimal interpretation of these biological changes. For transcriptomics (TCX), one type of molecular effects that can be assessed already is the modulation of the transcriptional activity of a transcription factor (TF). As more ChIP-seq datasets reporting genes specifically bound by a TF become publicly available for mining, the generation of target gene lists of TFs of toxicological relevance becomes possible, based on actual protein-DNA interaction and modulation of gene expression. In this study, we generated target gene signatures for Nrf2, ATF4, XBP1, p53, HIF1a, AhR and PPAR gamma and tracked TF modulation in a large collection of in vitro TCX datasets from renal and hepatic cell models exposed to clinical nephro- and hepato-toxins. The result is a global monitoring of TF modulation with great promise as a mechanistically based tool for chemical hazard identification.
高内涵组学方法能深入洞察细胞群体或组织在化学物质暴露后发生的细胞事件。然而,在分析精度提高的同时,对分子机制的全面理解却未能与之匹配,而这种理解对于最佳诠释这些生物学变化至关重要。对于转录组学(TCX)而言,一种已能评估的分子效应是转录因子(TF)转录活性的调节。随着更多报告TF特异性结合基因的ChIP-seq数据集公开可供挖掘,基于实际的蛋白质-DNA相互作用和基因表达调节,生成具有毒理学相关性的TF靶基因列表成为可能。在本研究中,我们生成了Nrf2、ATF4、XBP1、p53、HIF1a、AhR和PPARγ的靶基因特征,并在大量来自肾和肝细胞模型、暴露于临床肾毒素和肝毒素的体外TCX数据集中追踪TF调节情况。结果是对TF调节进行全局监测,有望成为基于机制的化学危害识别工具。