自噬网:分析自噬及其调控的高分辨率数据源。

IF 14.6 1区 生物学 Q1 CELL BIOLOGY
Autophagy Pub Date : 2024-01-01 Epub Date: 2023-08-17 DOI:10.1080/15548627.2023.2247737
Luca Csabai, Balázs Bohár, Dénes Türei, Sowmya Prabhu, László Földvári-Nagy, Matthew Madgwick, Dávid Fazekas, Dezső Módos, Márton Ölbei, Themis Halka, Martina Poletti, Polina Kornilova, Tamás Kadlecsik, Amanda Demeter, Máté Szalay-Bekő, Orsolya Kapuy, Katalin Lenti, Tibor Vellai, Lejla Gul, Tamás Korcsmáros
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引用次数: 0

摘要

大自噬/自噬是一种高度保守的分解代谢过程,可消除功能失调的细胞成分和入侵的病原体。自噬功能失常会导致癌症、神经退行性疾病和炎症等疾病。了解自噬在健康和疾病中的调控一直是过去几十年的研究重点。我们之前提供了一个自噬研究综合数据库,即自噬调控网络(ARN)。在过去的八年中,已有数千名用户使用了这一资源。在此,我们推出了一个全新的升级版资源--自噬网络(AutophagyNet)。它建立在以前数据库的基础上,并针对用户的反馈意见和omics数据可用性的进步所带来的新需求进行了重大改进。AutophagyNet 包含对 280,000 多种经实验验证的核心自噬蛋白与其蛋白质、转录和转录后调控因子之间的相互作用以及其潜在的上游通路连接进行的更新的相互作用整理和整合。AutophagyNet 为每个核心蛋白提供了有关其作用的注释:1)在不同类型的自噬中(有丝分裂、异噬等);2)在自噬的不同阶段(启动、扩展、终止等);3)亚细胞和组织特异性定位。这些注释可用于过滤数据集,提供符合用户需求的定制下载选项。该资源有多种文件格式(如 CSV、BioPAX 和 PSI-MI),数据可直接在 Cytoscape 中进行分析和可视化。通过将 AutophagyNet 与特定组织或细胞类型的(多)组数据集(如转录组或蛋白质组数据)相结合,可以分析自噬的多层调控。该资源可通过 http://autophagynet.org.Abbreviations 公开访问:ARN:ARN:自噬调控网络;ATG:自噬相关;BCR:B 细胞受体通路;BECN1:beclin 1;GABARAP:GABA A 型受体相关:IIP:先天免疫途径;LIR:LC3-interacting region;lncRNA:长非编码 RNA;MAP1LC3B:微管相关蛋白 1 轻链 3 beta;miRNA:微RNA;NHR:核激素受体;PTM:翻译后修饰;RTK:受体酪氨酸激酶;TCR:T 细胞受体;TLR:类收费受体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AutophagyNet: high-resolution data source for the analysis of autophagy and its regulation.

Macroautophagy/autophagy is a highly-conserved catabolic procss 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 eight 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 (multi-)omics datasets (e.g. transcriptomic or proteomic data). The resource is publicly accessible at http://autophagynet.org.Abbreviations: ARN: Autophagy Regulatory Network; ATG: autophagy related; BCR: B cell receptor pathway; BECN1: beclin 1; GABARAP: GABA type A receptor-associated protein; IIP: innate immune pathway; LIR: LC3-interacting region; lncRNA: long non-coding RNA; MAP1LC3B: microtubule associated protein 1 light chain 3 beta; miRNA: microRNA; NHR: nuclear hormone receptor; PTM: post-translational modification; RTK: receptor tyrosine kinase; TCR: T cell receptor; TLR: toll like receptor.

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来源期刊
Autophagy
Autophagy 生物-细胞生物学
CiteScore
21.30
自引率
2.30%
发文量
277
审稿时长
1 months
期刊介绍: Autophagy is a peer-reviewed journal that publishes research on autophagic processes, including the lysosome/vacuole dependent degradation of intracellular material. It aims to be the premier journal in the field and covers various connections between autophagy and human health and disease, such as cancer, neurodegeneration, aging, diabetes, myopathies, and heart disease. Autophagy is interested in all experimental systems, from yeast to human. Suggestions for specialized topics are welcome. The journal accepts the following types of articles: Original research, Reviews, Technical papers, Brief Reports, Addenda, Letters to the Editor, Commentaries and Views, and Articles on science and art. Autophagy is abstracted/indexed in Adis International Ltd (Reactions Weekly), EBSCOhost (Biological Abstracts), Elsevier BV (EMBASE and Scopus), PubMed, Biological Abstracts, Science Citation Index Expanded, Web of Science, and MEDLINE.
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