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ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases
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 d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731518/ https://www.ncbi.nlm.nih.gov/pubmed/33308175 http://dx.doi.org/10.1186/s12890-020-01350-0 |
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author | Li, Yupeng Wu, Gangao Shang, Yu Qi, Yue Wang, Xue Ning, Shangwei Chen, Hong |
author_facet | Li, Yupeng Wu, Gangao Shang, Yu Qi, Yue Wang, Xue Ning, Shangwei Chen, Hong |
author_sort | Li, Yupeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7731518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77315182020-12-15 ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases Li, Yupeng Wu, Gangao Shang, Yu Qi, Yue Wang, Xue Ning, Shangwei Chen, Hong BMC Pulm Med Database 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. BioMed Central 2020-12-11 /pmc/articles/PMC7731518/ /pubmed/33308175 http://dx.doi.org/10.1186/s12890-020-01350-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Database Li, Yupeng Wu, Gangao Shang, Yu Qi, Yue Wang, Xue Ning, Shangwei Chen, Hong ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
title | ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
title_full | ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
title_fullStr | ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
title_full_unstemmed | ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
title_short | ILDGDB: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
title_sort | ildgdb: a manually curated database of genomics, transcriptomics, proteomics and drug information for interstitial lung diseases |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731518/ https://www.ncbi.nlm.nih.gov/pubmed/33308175 http://dx.doi.org/10.1186/s12890-020-01350-0 |
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