ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases

• Main Authors: Yupeng Li, Gangao Wu, Yu Shang, Yue Qi, Xue Wang, Shangwei Ning, Hong Chen
• Format: Article
• Language: English
• Published: BMC 2020-12-01
• Series: BMC Pulmonary Medicine
• Subjects: Interstitial lung disease; Gene; ILDGDB; Drug
• Online Access: https://doi.org/10.1186/s12890-020-01350-0

Abstract Background Interstitial lung diseases (ILDs), a diverse group of diffuse lung diseases, mainly affect the lung parenchyma. The low-throughput ‘omics’ technologies (genomics, transcriptomics, proteomics) and relative drug information have begun to reshaped our understanding of ILDs, whereas, these data are scattered among massive references and are difficult to be fully exploited. Therefore, we manually mined and summarized these data at a database (ILDGDB, http://ildgdb.org/ ) and will continue to update it in the future. Main body The current version of ILDGDB incorporates 2018 entries representing 20 ILDs and over 600 genes obtained from over 3000 articles in four species. Each entry contains detailed information, including species, disease type, detailed description of gene (e.g. official symbol of gene), and the original reference etc. ILDGDB is free, and provides a user-friendly web page. Users can easily search for genes of interest, view their expression pattern and detailed information, manage genes sets and submit novel ILDs-gene association. Conclusion The main principle behind ILDGDB’s design is to provide an exploratory platform, with minimum filtering and interpretation, while making the presentation of the data very accessible, which will provide great help for researchers to decipher gene mechanisms and improve the prevention, diagnosis and therapy of ILDs.