Luo Huaichao, Wu Changchun, Yu Sisi, Ren Hanxiao, Yin Xing, Zu Ruiling, Rao Lubei, Zhang Peiying, Zhang Xingmei, Wu Ruohao, Leng Ping, Zhang Kaijiong, Peng Qi, Cao Bangrong, Qin Rui, Wei Hulin, Qiao Jianlin, Xu Shanling, Yi Qun, Zhang Yang, Huang Jian, Wang Dongsheng
Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu 610041, China.
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Genomics Proteomics Bioinformatics. 2025 May 30;23(2). doi: 10.1093/gpbjnl/qzaf031.
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 for 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/.
血小板在许多病理生理过程中起着至关重要的作用，但目前缺乏专门针对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及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，特别提取并分析了美国国立生物技术信息中心（NCBI）上41种不同条件下3711个样本的RNA测序（RNA-seq）数据。PlateletBase提供了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、配对相关性分析、多重相关性分析、表达排名、临床信息关联分析以及基因注释。PlateletBase的当前版本包括10278个基因组条目、31758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/性状以及六个分析模块。每个条目都经过精心策划并有实验证据支持。此外，PlateletBase具有用户友好的界面，旨在高效查询、操作、浏览、可视化以及分析详细的血小板蛋白质和基因信息。关于灰色血小板综合征和心绞痛的案例研究表明，PlateletBase是识别诊断生物标志物和探索疾病机制的合适工具，从而推动血小板功能的研究。可通过http://plateletbase.clinlabomics.org.cn/访问PlateletBase。
