Jian Li , Weicheng Liang , Zaozao Chen , Xingyu Li , Pan Gu , Anna Liu , Pin Chen , Qiwei Li , Xueyin Mei , Jing Yang , Jun Liu , Lincao Jiang , Zhongze Gu
{"title":"OOCDB:一个全面、系统、实时的片上组织数据库。","authors":"Jian Li , Weicheng Liang , Zaozao Chen , Xingyu Li , Pan Gu , Anna Liu , Pin Chen , Qiwei Li , Xueyin Mei , Jing Yang , Jun Liu , Lincao Jiang , Zhongze Gu","doi":"10.1016/j.gpb.2023.01.001","DOIUrl":null,"url":null,"abstract":"<div><p><strong>Organs-on-a-chip</strong> is a microfluidic microphysiological system that uses microfluidic technology to analyze the structure and function of living human cells at the tissue and <strong>organ</strong> levels <em>in vitro</em>. Organs-on-a-chip technology, as opposed to traditional two-dimensional cell culture and animal models, can more closely simulate pathologic and toxicologic interactions between different organs or tissues and reflect the collaborative response of multiple organs to drugs. Despite the fact that many organs-on-a-chip-related data have been published, none of the current <strong>databases</strong> have all of the following functions: searching, downloading, as well as analyzing data and results from the literature on organs-on-a-chip. Therefore, we created an organs-on-a-chip database (OOCDB) as a platform to integrate information about organs-on-a-chip from various sources, including literature, patents, raw data from microarray and transcriptome sequencing, several open-access datasets of organs-on-a-chip and organoids, and data generated in our laboratory. OOCDB contains dozens of sub-databases and analysis tools, and each sub-database contains various data associated with organs-on-a-chip, with the goal of providing researchers with a comprehensive, systematic, and convenient search engine. Furthermore, it offers a variety of other functions, such as <strong>mathematical modeling</strong>, three-dimensional modeling, and <strong>citation mapping</strong>, to meet the needs of researchers and promote the development of organs-on-a-chip. The OOCDB is available at <span>http://www.organchip.cn</span><svg><path></path></svg>.</p></div>","PeriodicalId":12528,"journal":{"name":"Genomics, Proteomics & Bioinformatics","volume":null,"pages":null},"PeriodicalIF":11.5000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OOCDB: A Comprehensive, Systematic, and Real-time Organs-on-a-chip Database\",\"authors\":\"Jian Li , Weicheng Liang , Zaozao Chen , Xingyu Li , Pan Gu , Anna Liu , Pin Chen , Qiwei Li , Xueyin Mei , Jing Yang , Jun Liu , Lincao Jiang , Zhongze Gu\",\"doi\":\"10.1016/j.gpb.2023.01.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><strong>Organs-on-a-chip</strong> is a microfluidic microphysiological system that uses microfluidic technology to analyze the structure and function of living human cells at the tissue and <strong>organ</strong> levels <em>in vitro</em>. Organs-on-a-chip technology, as opposed to traditional two-dimensional cell culture and animal models, can more closely simulate pathologic and toxicologic interactions between different organs or tissues and reflect the collaborative response of multiple organs to drugs. Despite the fact that many organs-on-a-chip-related data have been published, none of the current <strong>databases</strong> have all of the following functions: searching, downloading, as well as analyzing data and results from the literature on organs-on-a-chip. Therefore, we created an organs-on-a-chip database (OOCDB) as a platform to integrate information about organs-on-a-chip from various sources, including literature, patents, raw data from microarray and transcriptome sequencing, several open-access datasets of organs-on-a-chip and organoids, and data generated in our laboratory. OOCDB contains dozens of sub-databases and analysis tools, and each sub-database contains various data associated with organs-on-a-chip, with the goal of providing researchers with a comprehensive, systematic, and convenient search engine. Furthermore, it offers a variety of other functions, such as <strong>mathematical modeling</strong>, three-dimensional modeling, and <strong>citation mapping</strong>, to meet the needs of researchers and promote the development of organs-on-a-chip. 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OOCDB: A Comprehensive, Systematic, and Real-time Organs-on-a-chip Database
Organs-on-a-chip is a microfluidic microphysiological system that uses microfluidic technology to analyze the structure and function of living human cells at the tissue and organ levels in vitro. Organs-on-a-chip technology, as opposed to traditional two-dimensional cell culture and animal models, can more closely simulate pathologic and toxicologic interactions between different organs or tissues and reflect the collaborative response of multiple organs to drugs. Despite the fact that many organs-on-a-chip-related data have been published, none of the current databases have all of the following functions: searching, downloading, as well as analyzing data and results from the literature on organs-on-a-chip. Therefore, we created an organs-on-a-chip database (OOCDB) as a platform to integrate information about organs-on-a-chip from various sources, including literature, patents, raw data from microarray and transcriptome sequencing, several open-access datasets of organs-on-a-chip and organoids, and data generated in our laboratory. OOCDB contains dozens of sub-databases and analysis tools, and each sub-database contains various data associated with organs-on-a-chip, with the goal of providing researchers with a comprehensive, systematic, and convenient search engine. Furthermore, it offers a variety of other functions, such as mathematical modeling, three-dimensional modeling, and citation mapping, to meet the needs of researchers and promote the development of organs-on-a-chip. The OOCDB is available at http://www.organchip.cn.
期刊介绍:
Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.