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由Hippo信号通路调控的异位转录因子网络驱动恶性肿瘤模型的生长和侵袭

An Ectopic Network of Transcription Factors Regulated by Hippo Signaling Drives Growth and Invasion of a Malignant Tumor Model.

作者信息

Atkins Mardelle, Potier Delphine, Romanelli Lucia, Jacobs Jelle, Mach Jana, Hamaratoglu Fisun, Aerts Stein, Halder Georg

机构信息

VIB Center for the Biology of Disease and KU Leuven Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.

Laboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.

出版信息

Curr Biol. 2016 Aug 22;26(16):2101-13. doi: 10.1016/j.cub.2016.06.035. Epub 2016 Jul 28.

Abstract

Cancer cells have abnormal gene expression profiles; however, to what degree these are chaotic or driven by structured gene regulatory networks is often not known. Here we studied a model of Ras-driven invasive tumorigenesis in Drosophila epithelial tissues and combined in vivo genetics with next-generation sequencing and computational modeling to decipher the regulatory logic of tumor cells. Surprisingly, we discovered that the bulk of the tumor-specific gene expression is controlled by an ectopic network of a few transcription factors that are overexpressed and/or hyperactivated in tumor cells. These factors are Stat, AP-1, the bHLH proteins Myc and AP-4, the nuclear hormone receptor Ftz-f1, the nuclear receptor coactivator Taiman/SRC3, and Mef2. Notably, many of these transcription factors also are hyperactivated in human tumors. Bioinformatic analysis predicted that these factors directly regulate the majority of the tumor-specific gene expression, that they are interconnected by extensive cross-regulation, and that they show a high degree of co-regulation of target genes. Indeed, the factors of this network were required in multiple epithelia for tumor growth and invasiveness, and knockdown of several factors caused a reversion of the tumor-specific expression profile but had no observable effect on normal tissues. We further found that the Hippo pathway effector Yorkie was strongly activated in tumor cells and initiated cellular reprogramming by activating several transcription factors of this network. Thus, modeling regulatory networks identified an ectopic and ordered network of master regulators that control a large part of tumor cell-specific gene expression.

摘要

癌细胞具有异常的基因表达谱;然而,这些表达谱在多大程度上是混乱的或是由结构化的基因调控网络驱动的,通常并不清楚。在这里,我们研究了果蝇上皮组织中Ras驱动的侵袭性肿瘤发生模型,并将体内遗传学与下一代测序和计算建模相结合,以破译肿瘤细胞的调控逻辑。令人惊讶的是,我们发现大部分肿瘤特异性基因表达受少数转录因子的异位网络控制,这些转录因子在肿瘤细胞中过表达和/或过度激活。这些因子包括Stat、AP-1、bHLH蛋白Myc和AP-4、核激素受体Ftz-f1、核受体共激活因子Taiman/SRC3以及Mef2。值得注意的是,这些转录因子中的许多在人类肿瘤中也过度激活。生物信息学分析预测,这些因子直接调控大部分肿瘤特异性基因表达,它们通过广泛的交叉调控相互连接,并且它们对靶基因表现出高度的共同调控。事实上,这个网络中的因子在多个上皮组织中对肿瘤生长和侵袭是必需的,敲低几个因子会导致肿瘤特异性表达谱的逆转,但对正常组织没有可观察到的影响。我们进一步发现,Hippo信号通路效应器Yorkie在肿瘤细胞中强烈激活,并通过激活该网络的几个转录因子启动细胞重编程。因此,对调控网络的建模确定了一个异位且有序的主调控因子网络,该网络控制了大部分肿瘤细胞特异性基因表达。

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