AutophagyNet: high-resolution data source for the analysis of autophagy and its regulation

Csabai, Luca [Farkas, Luca Panna (Bioinformatika), szerző]; Bohár, Balázs [Bohár, Balázs (Bioinformatika, h...), szerző] Genetikai Tanszék (ELTE / TTK / Bio_I); Türei, Dénes; Prabhu, Sowmya; Földvári-Nagy, László [Földvári-Nagy, László (biológia), szerző] Morfológiai és Fiziológiai Tanszék (SE / ETK2007); Madgwick, Matthew; Fazekas, Dávid [Fazekas, Dávid (Biológia), szerző] Genetikai Tanszék (ELTE / TTK / Bio_I); Módos, Dezső; Ölbei, Márton; Halka, Themis; Poletti, Martina; Kornilova, Polina; Kadlecsik, Tamás [Kadlecsik, Tamás (Bioinformatika), szerző] Biológia Doktori Iskola (ELTE / TTK); Demeter, Amanda; Máté, Szalay-Bekő [Szalay-Bekő, Máté (Bioinformatika), szerző]; Kapuy, Orsolya [Kapuy, Orsolya (Biokémia), szerző] Molekuláris Biológiai Tanszék (SE / AOK / I / BMBI); Lenti, Katalin [Földvári-Nagy Lászlóné Lenti, Katalin (élettan-biokémia), szerző] Morfológiai és Fiziológiai Tanszék (SE / ETK2007); Vellai, Tibor [Vellai, Tibor (Genetika), szerző] Genetikai Tanszék (ELTE / TTK / Bio_I); ELKH-ELTE Genetikai Kutatócsoport (ELTE / TTK / Bio_I); Gul, Lejla; Korcsmáros, Tamás ✉ [Korcsmáros, Tamás (Rendszerbiológia,...), szerző] Genetikai Tanszék (ELTE / TTK / Bio_I)

Angol nyelvű Szakcikk (Folyóiratcikk) Tudományos
Megjelent: AUTOPHAGY 1554-8627 1554-8635 20 (1) pp. 188-201 2024
  • SJR Scopus - Cell Biology: D1
Támogatások:
  • (FK-134267)
  • (K131458)
  • (PD131839)
  • (K132439) Támogató: NKFIH
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, elongation, 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.Competing Interest StatementThe authors have declared no competing interest.ARNAutophagy Regulatory NetworkATGautophagy-related genesBCRB cell receptor pathwayBECN1beclin 1GABARAPgamma-aminobutyric acid receptor-associated proteinIIPinnate immune pathwaylncRNAlong non-coding RNAmiRNAmicroRNANHRnuclear hormone receptor pathwayPTMpost-translational modificationRTKreceptor tyrosine kinase pathwayTCRT cell receptor pathwayTLRToll-like receptor pathway
Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
2026-05-21 18:53