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Evolutionary trends and functional anatomy of the human expanded autophagy network

机译:人类扩展自噬网络的进化趋势与功能解剖学

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All eukaryotic cells utilize autophagy for protein and organelle turnover, thus assuring subcellular quality control, homeostasis, and survival. In order to address recent advances in identification of human autophagy associated genes, and to describe autophagy on a system-wide level, we established an autophagy-centered gene interaction network by merging various primary data sets and by retrieving respective interaction data. The resulting network (AXAN') was analyzed with respect to subnetworks, e.g. the prime gene subnetwork (including the core machinery, signaling pathways and autophagy receptors) and the transcription subnetwork. To describe aspects of evolution within this network, we assessed the presence of protein orthologs across 99 eukaryotic model organisms. We visualized evolutionary trends for prime gene categories and evolutionary tracks for selected AXAN genes. This analysis confirms the eukaryotic origin of autophagy core genes while it points to a diverse evolutionary history of autophagy receptors. Next, we used module identification to describe the functional anatomy of the network at the level of pathway modules. In addition to obvious pathways (e.g., lysosomal degradation, insulin signaling) our data unveil the existence of context-related modules such as Rho GTPase signaling. Last, we used a tripartite, image-based RNAi - screen to test candidate genes predicted to play a role in regulation of autophagy. We verified the Rho GTPase, CDC42, as a novel regulator of autophagy-related signaling. This study emphasizes the applicability of system-wide approaches to gain novel insights into a complex biological process and to describe the human autophagy pathway at a hitherto unprecedented level of detail.
机译:所有真核细胞都利用蛋白质和细胞石营业额的自噬,从而确保亚细胞质量控制,稳态和生存。为了解决近期在鉴定人自噬相关基因的进步,并通过对系统范围的级别描述自噬,通过利用各种主要数据集并通过检索各个交互数据来建立自噬居中的基因交互网络。关于子网分析所得到的网络(AXAN'),例如,分析了子网。素基因子网(包括核心机械,信号通路和自噬受体)和转录子网。为了描述该网络内的进化方面,我们评估了跨越99种真核生物模型生物的蛋白质晶状体的存在。我们可视化Prime基因类别的进化趋势和所选择的轴南基因的进化轨道。该分析证实了自噬核心基因的真核起源,同时它指向自噬受体的多种进化史。接下来,我们使用模块识别来描述在路径模块的水平下网络的功能解剖结构。除了明显的途径(例如,溶酶体降解,胰岛素信号传导)外,我们的数据揭示了存在上下文相关模块,例如Rho GTPase信令。最后,我们使用了三方,基于图像的RNAi - 屏幕来测试预测在自噬中发挥作用的候选基因。我们验证了Rho GTPase,CDC42,作为自噬相关信号传导的新型调节器。本研究强调了系统范围的方法的适用性,以获得复杂的生物学过程的新洞察力,并描述迄今为止前所未有的细节水平的人类自噬途径。

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