基于转录程序的 MET 14 号外显子跳越调控网络解密

Marie-Jose Truong, Geoffrey Pawlak, Jean-Pascal Meneboo, Sheherazade Sebda, Marie Fernandes, Martin Figeac, Mohamed Elati, David Tulasne
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引用次数: 0

摘要

肺癌中的 MET 14 号外显子跳越突变(命名为 METex14del)会导致信号通路的长期激活和异常细胞反应,但 HGF 信号与细胞反应之间的联系仍不清楚。研究人员从肺癌细胞系的转录组中构建了一个对靶基因有影响的潜在调控网络。将该参考网络与表达 METex14del 的细胞(无论是否受到 HGF 刺激)的转录组数据进行叠加,发现了一个主要的调控节点,该节点主要由转录因子 ETS1、FOSL1 和 SMAD3 组成。HGF 对 METex14del 的激活诱导了这些主调控因子的磷酸化,并以依赖 RAS-ERK 通路的方式诱导了其预测靶基因的表达。此外,调节节点中的大多数转录因子都是已知的上皮-间充质转化调节因子,这与它们参与迁移和侵袭是一致的。利用 MEK 抑制剂处理过的 METex14del 细胞的转录组数据建立的新模型验证了 RAS-ERK 通路调节因子及其靶基因在 METex14del 受体激活中的关键作用。因此,我们报告了一种独创的策略,以确定与特定信号通路相关的关键转录节点,这些节点可能成为新的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transcriptional program-based deciphering of the MET exon 14 skipping regulation network
The MET exon 14 skipping mutation (named METex14del) described in lung cancer leads to prolonged activation of signaling pathways and aberrant cell responses, but the link between HGF signaling and cell responses remains unclear. A putative regulatory network of influential regulators of target genes was constructed from the transcriptomes of lung cancer cell lines. Overlaying this reference network with transcriptomic data from METex14del-expressing cells, stimulated or not by HGF, revealed a major regulatory node consisting mainly of the transcription factors ETS1, FOSL1 and SMAD3. HGF activation of METex14del induced the phosphorylation of these master regulators and the expression of their predicted target genes in a RAS-ERK pathway-dependent manner. Furthermore, most of the transcription factors in the regulatory node are known regulators of epithelial-mesenchymal transition, consistent with their involvement in migration and invasion. New modeling with transcriptomic data from MEK inhibitor-treated METex14del cells validated the key role of RAS-ERK pathway regulators and their target genes in METex14del receptor activation. Thus, we report an original strategy to identify key transcriptional nodes associated with specific signaling pathways that may become novel therapeutic targets.
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