宏噬作用/噬作用是一种高度保守的分解过程，用于清除功能障碍的细胞成分和侵入性病原体。噬作用功能障碍导致癌症、神经退行性和炎症性疾病等疾病的发生。了解噬作用在健康和疾病中的调控是近几十年来的研究重点。我们以前提供了一个噬作用研究的综合数据库，即噬作用调控网络（ARN）。在过去的七年中，这个资源已经被数千名用户使用。在这里，我们介绍一个新的升级版资源，噬作用网络（AutophagyNet）。它建立在之前的数据库基础上，但包含了主要的改进，以解决用户反馈和由于组学数据可用性的进展而产生的新需求。噬作用网络包含了更新的交互关系整合，并整合了超过280,000个经过实验证实的核心噬作用蛋白与它们的蛋白质、转录和转录后调控因子以及它们的潜在上游通路连接之间的相互作用。噬作用网络提供了关于每个核心蛋白的注释，包括它们在不同类型的噬作用（线粒体噬作用、异噬作用等）中的作用；在噬作用的不同阶段（启动、扩展、终止等）中的作用；以及其在亚细胞和组织特异性定位方面的作用。这些注释可以用于过滤数据集，并提供符合用户需求的可定制下载选项。该资源以各种文件格式（如CSV、BioPAX和PSI-MI）提供，并且可以直接在Cytoscape中分析和可视化数据。通过将噬作用网络与组织或细胞类型特异性（多）组学数据集（如转录组或蛋白质组数据）相结合，可以分析宏噬作用的多层调控。该资源可以在http://autophagynet.org上公开访问。

Macroautophagy/autophagy is a highly-conserved catabolic process eliminating dysfunctional cellular components and invading pathogens. Autophagy malfunction contributes to disorders such as cancer, neurodegenerative and inflammatory diseases. Understanding autophagy regulation in health and disease has been the focus of the last decades. We previously provided an integrated database for autophagy research, the Autophagy Regulatory Network (ARN). For the last seven years, this resource has been used by thousands of users. Here, we present a new and upgraded resource, AutophagyNet. It builds on the previous database but contains major improvements to address user feedback and novel needs due to the advancement in omics data availability. AutophagyNet contains updated interaction curation and integration of over 280,000 experimentally verified interactions between core autophagy proteins and their protein, transcriptional and post-transcriptional regulators as well as their potential upstream pathway connections. AutophagyNet provides annotations for each core protein about their role: 1) in different types of autophagy (mitophagy, xenophagy, etc.); 2) in distinct stages of autophagy (initiation, expansion, termination, etc.); 3) with subcellular and tissue-specific localization. These annotations can be used to filter the dataset, providing customizable download options tailored to the user's needs. The resource is available in various file formats (e.g. CSV, BioPAX and PSI-MI), and data can be analyzed and visualized directly in Cytoscape. The multi-layered regulation of autophagy can be analyzed by combining AutophagyNet with tissue- or cell type-specific using (multi-)omics datasets (e.g. transcriptomic or proteomic data). The resource is publicly accessible at http://autophagynet.org.