Department Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.
Int J Mol Sci. 2022 Mar 22;23(7):3420. doi: 10.3390/ijms23073420.
Transcript signatures are a promising approach to identify and classify genotoxic and non-genotoxic compounds and are of interest as biomarkers or for future regulatory application. Not much data, however, is yet available about the concordance of transcriptional responses in different cell types or tissues. Here, we analyzed transcriptomic responses to selected genotoxic food contaminants in the human p53-competent lymphoblastoid cell line TK6 using RNA sequencing. Responses to treatment with five genotoxins, as well as with four non-genotoxic liver toxicants, were compared with previously published gene expression data from the human liver cell model HepaRG. A significant overlap of the transcriptomic changes upon genotoxic stress was detectable in TK6 cells, whereas the comparison with the HepaRG model revealed considerable differences, which was confirmed by bioinformatic data mining for cellular upstream regulators or pathways. Taken together, the study presents a transcriptomic signature for genotoxin exposure in the human TK6 blood cell model. The data demonstrate that responses in different cell models have considerable variations. Detection of a transcriptomic genotoxin signature in blood cells indicates that gene expression analyses of blood samples might be a valuable approach to also estimate responses to toxic exposure in target organs such as the liver.
转录特征是一种很有前途的方法,可以识别和分类遗传毒性和非遗传毒性化合物,作为生物标志物或未来监管应用具有重要意义。然而,关于不同细胞类型或组织中转录反应的一致性,目前还没有太多数据。在这里,我们使用 RNA 测序分析了人类 p53 功能正常的淋巴母细胞系 TK6 中选定的遗传毒性食物污染物的转录组反应。将五种遗传毒性药物处理的反应与之前从人肝细胞模型 HepaRG 发表的基因表达数据进行了比较。在 TK6 细胞中可以检测到遗传毒性应激时转录组变化的显著重叠,而与 HepaRG 模型的比较显示出相当大的差异,这通过生物信息学数据挖掘细胞上游调节剂或途径得到了证实。总之,该研究在人类 TK6 血细胞模型中呈现了一个遗传毒性暴露的转录组特征。这些数据表明,不同细胞模型的反应存在很大差异。在血细胞中检测到转录组遗传毒性特征表明,对血液样本的基因表达分析可能是一种有价值的方法,可用于估计目标器官(如肝脏)的毒性暴露反应。