Suppr超能文献

同基因 KRas 突变型 NSCLC 模型的转分化导致转录调控网络改变。

Altered Transcriptional Control Networks with Trans-Differentiation of Isogenic Mutant-KRas NSCLC Models.

机构信息

Department of Biomedical Sciences, LIU Post , Brookville, NY , USA.

Regeneron Pharmaceuticals Inc. , Tarrytown, NY , USA.

出版信息

Front Oncol. 2014 Dec 8;4:344. doi: 10.3389/fonc.2014.00344. eCollection 2014.

Abstract

BACKGROUND

The capacity of cancer cells to undergo epithelial mesenchymal trans-differentiation has been implicated as a factor driving metastasis, through the acquisition of enhanced migratory/invasive cell programs and the engagement of anti-apoptotic mechanisms promoting drug and radiation resistance. Our aim was to define molecular signaling changes associated with mesenchymal trans-differentiation in two KRas mutant NSCLC models. We focused on central transcription and epigenetic regulators predicted to be important for mesenchymal cell survival.

EXPERIMENTAL DESIGN

We have modeled trans-differentiation and cancer stemness in inducible isogenic mutant-KRas H358 and A549 non-small cell lung cell backgrounds. As expected, our models show mesenchymal-like tumor cells acquire novel mechanisms of cellular signaling not apparent in their epithelial counterparts. We employed large-scale quantitative phosphoproteomic, proteomic, protein-protein interaction, RNA-Seq, and network function prediction approaches to dissect the molecular events associated with the establishment and maintenance of the mesenchymal state.

RESULTS

Gene-set enrichment and pathway prediction indicated BMI1, KDM5B, RUNX2, MYC/MAX, NFκB, LEF1, and HIF1 target networks were significantly enriched in the trans-differentiation of H358 and A549 NSCLC models. Physical overlaps between multiple networks implicate NR4A1 as an overlapping control between TCF and NFκB pathways. Enrichment correlations also indicated marked decrease in cell cycling, which occurred early in the EMT process. RNA abundance time course studies also indicated early expression of epigenetic and chromatin regulators within 8-24 h, including CITED4, RUNX3, CMBX1, and SIRT4.

CONCLUSION

Multiple transcription and epigenetic pathways where altered between epithelial and mesenchymal tumor cell states, notably the polycomb repressive complex-1, HP1γ, and BAF/Swi-Snf. Network analysis suggests redundancy in the activation and inhibition of pathway regulators, notably factors controlling epithelial cell state. Through large-scale transcriptional and epigenetic cell reprograming, mesenchymal trans-differentiation can promote diversification of signaling networks potentially important in resistance to cancer therapies.

摘要

背景

癌细胞经历上皮间质转化的能力被认为是驱动转移的一个因素,通过获得增强的迁移/侵袭细胞程序,并利用抗细胞凋亡机制促进药物和辐射抗性。我们的目的是确定与两种 KRas 突变 NSCLC 模型中的间质转化相关的分子信号变化。我们专注于中央转录和表观遗传调节剂,这些调节剂被预测对间质细胞存活很重要。

实验设计

我们已经在诱导型同基因突变 KRas H358 和 A549 非小细胞肺癌背景下模拟了转化和癌症干性。正如预期的那样,我们的模型显示出间充质样肿瘤细胞获得了新的细胞信号机制,而这些机制在其上皮细胞中并不明显。我们采用了大规模定量磷酸化蛋白质组学、蛋白质组学、蛋白质-蛋白质相互作用、RNA-Seq 和网络功能预测方法来剖析与建立和维持间充质状态相关的分子事件。

结果

基因集富集和通路预测表明,BMI1、KDM5B、RUNX2、MYC/MAX、NFκB、LEF1 和 HIF1 靶网络在 H358 和 A549 NSCLC 模型的转化中显著富集。多个网络之间的物理重叠表明 NR4A1 是 TCF 和 NFκB 通路之间的重叠控制因子。富集相关性也表明细胞周期明显减少,这发生在 EMT 过程的早期。RNA 丰度时间过程研究也表明,早期表达表观遗传和染色质调节因子,包括 CITED4、RUNX3、CMBX1 和 SIRT4。

结论

上皮和间充质肿瘤细胞状态之间改变了多个转录和表观遗传途径,特别是多梳抑制复合物 1、HP1γ 和 BAF/Swi-Snf。网络分析表明,通路调节剂的激活和抑制存在冗余,特别是控制上皮细胞状态的因素。通过大规模的转录和表观遗传细胞重编程,间质转化可以促进信号网络的多样化,这可能对癌症治疗的耐药性很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23ba/4259114/94cf689b8d4c/fonc-04-00344-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验