Liu Qi, Ullery Jody, Zhu Jing, Liebler Daniel C, Marnett Lawrence J, Zhang Bing
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Mol Biosyst. 2013 Dec;9(12):3036-46. doi: 10.1039/c3mb70114j. Epub 2013 Sep 20.
Reactive electrophiles produced during oxidative stress, such as 4-hydroxynonenal (HNE), are increasingly recognized as contributing factors in a variety of degenerative and inflammatory diseases. Here we used the RNA-seq technology to characterize transcriptome responses in RKO cells induced by HNE at subcytotoxic and cytotoxic doses. RNA-seq analysis rediscovered most of the differentially expressed genes reported by microarray studies and also identified novel gene responses. Interestingly, differential expression detection at the coding DNA sequence (CDS) level helped to further improve the consistency between the two technologies, suggesting the utility and importance of the CDS level analysis. RNA-seq data analysis combining gene and CDS levels yielded an informative and comprehensive picture of gradually evolving response networks with increasing HNE doses, from cell protection against oxidative injury at low dose, initiation of cell apoptosis and DNA damage at intermediate dose to significant deregulation of cellular functions at high dose. These evolving dose-dependent pathway changes, which cannot be observed by the gene level analysis alone, clearly reveal the HNE cytotoxic effect and are supported by IC50 experiments. Additionally, differential expression at the CDS level provides new insights into isoform regulation mechanisms. Taken together, our data demonstrate the power of RNA-seq to identify subtle transcriptome changes and to characterize effects induced by HNE through the generation of high-resolution data coupled with differential analysis at both gene and CDS levels.
氧化应激过程中产生的反应性亲电试剂,如4-羟基壬烯醛(HNE),越来越被认为是多种退行性和炎症性疾病的促成因素。在这里,我们使用RNA测序技术来表征亚细胞毒性和细胞毒性剂量的HNE诱导的RKO细胞中的转录组反应。RNA测序分析重新发现了微阵列研究报告的大多数差异表达基因,还鉴定了新的基因反应。有趣的是,在编码DNA序列(CDS)水平上的差异表达检测有助于进一步提高这两种技术之间的一致性,表明CDS水平分析的实用性和重要性。结合基因和CDS水平的RNA测序数据分析产生了一幅信息丰富且全面的逐渐演变的反应网络图景,随着HNE剂量的增加,从低剂量时细胞对氧化损伤的保护,到中等剂量时细胞凋亡和DNA损伤的启动,再到高剂量时细胞功能的显著失调。这些逐渐演变的剂量依赖性途径变化,仅通过基因水平分析无法观察到,清楚地揭示了HNE的细胞毒性作用,并得到了IC50实验的支持。此外,CDS水平的差异表达为异构体调控机制提供了新的见解。综上所述,我们的数据证明了RNA测序在识别细微转录组变化以及通过生成高分辨率数据并结合基因和CDS水平的差异分析来表征HNE诱导的效应方面的能力。