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冠状病毒相关人类基因在 COVID-19 疾病门户中的本体分析。

Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal.

机构信息

The Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Clinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

出版信息

Genes (Basel). 2022 Dec 7;13(12):2304. doi: 10.3390/genes13122304.

DOI:10.3390/genes13122304
PMID:36553571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9777590/
Abstract

The COVID-19 pandemic stemmed a parallel upsurge in the scientific literature about SARS-CoV-2 infection and its health burden. The Rat Genome Database (RGD) created a COVID-19 Disease Portal to leverage information from the scientific literature. In the COVID-19 Portal, gene-disease associations are established by manual curation of PubMed literature. The portal contains data for nine ontologies related to COVID-19, an embedded enrichment analysis tool, as well as links to a toolkit. Using these information and tools, we performed analyses on the curated COVID-19 disease genes. As expected, Disease Ontology enrichment analysis showed that the COVID-19 gene set is highly enriched with coronavirus infectious disease and related diseases. However, other less related diseases were also highly enriched, such as liver and rheumatic diseases. Using the comparison heatmap tool, we found nearly 60 percent of the COVID-19 genes were associated with nervous system disease and 40 percent were associated with gastrointestinal disease. Our analysis confirms the role of the immune system in COVID-19 pathogenesis as shown by substantial enrichment of immune system related Gene Ontology terms. The information in RGD's COVID-19 disease portal can generate new hypotheses to potentiate novel therapies and prevention of acute and long-term complications of COVID-19.

摘要

COVID-19 大流行引发了关于 SARS-CoV-2 感染及其健康负担的科学文献的平行激增。大鼠基因组数据库 (RGD) 创建了一个 COVID-19 疾病门户,以利用来自科学文献的信息。在 COVID-19 门户中,通过对 PubMed 文献进行人工策展来建立基因-疾病关联。该门户包含与 COVID-19 相关的九个本体的数据、一个嵌入式富集分析工具以及与工具包的链接。使用这些信息和工具,我们对经过策展的 COVID-19 疾病基因进行了分析。不出所料,疾病本体论富集分析表明,COVID-19 基因集高度富集了冠状病毒传染病和相关疾病。然而,其他相关性较低的疾病也高度富集,如肝脏和风湿性疾病。使用比较热图工具,我们发现近 60%的 COVID-19 基因与神经系统疾病有关,40%与胃肠道疾病有关。我们的分析证实了免疫系统在 COVID-19 发病机制中的作用,大量与免疫系统相关的基因本体论术语得到了富集。RGD 的 COVID-19 疾病门户中的信息可以生成新的假设,以增强 COVID-19 的急性和长期并发症的新型疗法和预防。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/54c602b7fd42/genes-13-02304-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/336f49e4eeb5/genes-13-02304-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/23344611573f/genes-13-02304-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/54c602b7fd42/genes-13-02304-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/336f49e4eeb5/genes-13-02304-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/23344611573f/genes-13-02304-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ae/9777590/54c602b7fd42/genes-13-02304-g003.jpg

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