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自噬调控网络——一个用于研究自噬机制和调控的系统级生物信息学资源。

Autophagy Regulatory Network - a systems-level bioinformatics resource for studying the mechanism and regulation of autophagy.

作者信息

Türei Dénes, Földvári-Nagy László, Fazekas Dávid, Módos Dezső, Kubisch János, Kadlecsik Tamás, Demeter Amanda, Lenti Katalin, Csermely Péter, Vellai Tibor, Korcsmáros Tamás

机构信息

a Department of Genetics ; Eötvös Loránd University ; Budapest , Hungary.

出版信息

Autophagy. 2015;11(1):155-65. doi: 10.4161/15548627.2014.994346.

Abstract

Autophagy is a complex cellular process having multiple roles, depending on tissue, physiological, or pathological conditions. Major post-translational regulators of autophagy are well known, however, they have not yet been collected comprehensively. The precise and context-dependent regulation of autophagy necessitates additional regulators, including transcriptional and post-transcriptional components that are listed in various datasets. Prompted by the lack of systems-level autophagy-related information, we manually collected the literature and integrated external resources to gain a high coverage autophagy database. We developed an online resource, Autophagy Regulatory Network (ARN; http://autophagy-regulation.org), to provide an integrated and systems-level database for autophagy research. ARN contains manually curated, imported, and predicted interactions of autophagy components (1,485 proteins with 4,013 interactions) in humans. We listed 413 transcription factors and 386 miRNAs that could regulate autophagy components or their protein regulators. We also connected the above-mentioned autophagy components and regulators with signaling pathways from the SignaLink 2 resource. The user-friendly website of ARN allows researchers without computational background to search, browse, and download the database. The database can be downloaded in SQL, CSV, BioPAX, SBML, PSI-MI, and in a Cytoscape CYS file formats. ARN has the potential to facilitate the experimental validation of novel autophagy components and regulators. In addition, ARN helps the investigation of transcription factors, miRNAs and signaling pathways implicated in the control of the autophagic pathway. The list of such known and predicted regulators could be important in pharmacological attempts against cancer and neurodegenerative diseases.

摘要

自噬是一个复杂的细胞过程,根据组织、生理或病理状况具有多种作用。自噬的主要翻译后调节因子是众所周知的,然而,它们尚未被全面收集。自噬的精确且依赖于上下文的调节需要额外的调节因子,包括各种数据集中列出的转录和转录后成分。由于缺乏系统层面的自噬相关信息,我们手动收集文献并整合外部资源,以获得一个高覆盖率的自噬数据库。我们开发了一个在线资源,自噬调节网络(ARN;http://autophagy-regulation.org),为自噬研究提供一个综合的系统层面数据库。ARN包含人类自噬成分(1485种蛋白质,4013种相互作用)的手动整理、导入和预测的相互作用。我们列出了413种转录因子和386种miRNA,它们可以调节自噬成分或其蛋白质调节因子。我们还将上述自噬成分和调节因子与来自SignaLink 2资源的信号通路相连接。ARN用户友好的网站允许没有计算背景的研究人员搜索、浏览和下载该数据库。该数据库可以以SQL、CSV、BioPAX、SBML、PSI-MI以及Cytoscape CYS文件格式下载。ARN有潜力促进新型自噬成分和调节因子的实验验证。此外,ARN有助于研究参与自噬途径控制的转录因子、miRNA和信号通路。此类已知和预测的调节因子列表在针对癌症和神经退行性疾病的药理学尝试中可能很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb8f/4502651/c6da782579a7/kaup-11-01-994346-g001.jpg

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