PlateletBase: A Comprehensive Knowledgebase for Platelet Research and Disease Insights.

Huaichao Luo, Changchun Wu, Sisi Yu, Hanxiao Ren, Xing Yin, Ruiling Zu, Lubei Rao, Peiying Zhang, Xingmei Zhang, Ruohao Wu, Ping Leng, Kaijiong Zhang, Qi Peng, Bangrong Cao, Rui Qin, Hulin Wei, Jianlin Qiao, Shanling Xu, Qun Yi, Yang Zhang, Jian Huang, Dongsheng Wang
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Abstract

Platelets are vital in many pathophysiological processes, yet there is a lack of a comprehensive resource dedicated specifically to platelet research. To fill this gap, we have developed PlateletBase, a knowledge base aimed at enhancing the understanding and study of platelets and related diseases. Our team retrieved information from various public databases, specifically extracting and analyzing RNA sequencing (RNA-seq) data from 3711 samples across 41 different conditions available on the National Center of Biotechnology Information (NCBI). PlateletBase offers six analytical and visualization tools, enabling users to perform gene similarity analysis, pair correlation, multi-correlation, expression ranking, clinical information association, and gene annotation for platelets. The current version of PlateletBase includes 10,278 genomic entries, 31,758 transcriptomic entries, 4869 proteomic entries, 2614 omics knowledge entries, 1833 drugs, 97 platelet resources, 438 diseases/traits, and six analysis modules. Each entry has been carefully curated and supported by experimental evidence. Additionally, PlateletBase features a user-friendly interface designed for efficient querying, manipulation, browsing, visualization, and analysis of detailed platelet protein and gene information. The case studies on gray platelet syndrome and angina pectoris demonstrate that PlateletBase is a suitable tool for identifying diagnostic biomarkers and exploring disease mechanisms, thereby advancing research in platelet functionality. PlateletBase is accessible at http://plateletbase.clinlabomics.org.cn/.

PlateletBase:血小板研究和疾病洞察的综合知识库。
血小板在许多病理生理过程中至关重要,但缺乏专门用于血小板研究的综合资源。为了填补这一空白,我们开发了PlateletBase,这是一个旨在加强对血小板和相关疾病的理解和研究的知识库。我们的团队从各种公共数据库中检索信息,特别是从国家生物技术信息中心(NCBI)提供的41种不同条件下的3711个样本中提取和分析RNA测序(RNA-seq)数据。PlateletBase提供六种分析和可视化工具,使用户能够对血小板进行基因相似性分析、配对关联、多关联、表达排序、临床信息关联和基因注释。目前版本的PlateletBase包括10,278个基因组条目,31,758个转录组条目,4869个蛋白质组条目,2614个组学知识条目,1833种药物,97种血小板资源,438种疾病/性状,6个分析模块。每个条目都经过精心策划,并得到实验证据的支持。此外,PlateletBase具有用户友好的界面设计,用于高效查询,操作,浏览,可视化和分析详细的血小板蛋白和基因信息。灰色血小板综合征和心绞痛的病例研究表明,PlateletBase是识别诊断性生物标志物和探索疾病机制的合适工具,从而推进血小板功能的研究。PlateletBase可访问http://plateletbase.clinlabomics.org.cn/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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