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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, PlateletBase: A Comprehensive Knowledgebase for Platelet Research and Disease Insights, Genomics, Proteomics & Bioinformatics, 2025;, qzaf031, https://doi.org/10.1093/gpbjnl/qzaf031
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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/.
Author notes
Huaichao Luo, Changchun Wu, Sisi Yu and Hanxiao Ren Equal contribution.