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

机译:自噬调控网络-研究自噬机理和调控的系统级生物信息学资源

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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.
机译:自噬是一种复杂的细胞过程,具有多种作用,具体取决于组织,生理或病理状况。自噬的主要翻译后调节剂是众所周知的,但是,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其他调节子,包括各种数据集中列出的转录和转录后成分。由于缺乏与系统级自噬相关的信息,我们手动收集了文献资料并整合了外部资源,以获得高覆盖的自噬数据库。我们开发了在线资源自噬调节网络(ARN; http://autophagy-regulation.org),以提供用于自噬研究的集成的系统级数据库。 ARN包含人体内自噬成分(1,485个蛋白质和4,013个相互作用)的人工策划,导入和预测的相互作用。我们列出了413个转录因子和386个miRNA,它们可以调节自噬组件或其蛋白调节剂。我们还将上述自噬组件和调节器与来自SignaLink 2资源的信号通路相连。 ARN的用户友好网站允许没有计算背景的研究人员搜索,浏览和下载数据库。该数据库可以以SQL,CSV,BioPAX,SBML,PSI-MI和Cytoscape CYS文件格式下载。 ARN具有促进新型自噬组件和调节剂实验验证的潜力。此外,ARN还有助于研究与自噬途径控制有关的转录因子,miRNA和信号传导途径。这种已知和预测的调节剂的清单在抗癌和神经退行性疾病的药理尝试中可能很重要。

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