PlateletBase: A Comprehensive Knowledgebase for Platelet Research and Disease Insights
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/.
Authors
- Shanling Xu (ORCID: https://orcid.org/0000-0002-1801-1440)
- Jian Hua Huang (ORCID: https://orcid.org/0000-0003-3282-8892)
- Huaichao Luo (ORCID: https://orcid.org/0000-0002-8632-5230)
- Qi Peng (ORCID: https://orcid.org/0009-0002-0452-6985)
- Kaijiong Zhang (ORCID: https://orcid.org/0000-0002-5459-0144)
- Hanxiao Ren (ORCID: https://orcid.org/0009-0000-9003-9432)
- X. X. Zhang (ORCID: https://orcid.org/0000-0002-6047-0640)
- Jianlin Qiao (ORCID: https://orcid.org/0000-0002-0456-0940)
- Bangrong Cao (ORCID: https://orcid.org/0000-0002-3865-3563)
- Qun Yi (ORCID: https://orcid.org/0009-0009-0036-369X)
- Ruiling Zu (ORCID: https://orcid.org/0000-0002-9803-1459)
- Xing Yin (ORCID: https://orcid.org/0009-0006-2014-5794)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-1317-120X)
- Ping Leng (ORCID: https://orcid.org/0000-0002-4019-2153)
- Rui Qin (ORCID: https://orcid.org/0000-0003-4093-7044)
- Peiying Zhang
- Ruohao Wu
- Lubei Rao (ORCID: https://orcid.org/0000-0002-8243-0076)
- Changchun Wu (ORCID: https://orcid.org/0009-0003-9864-2756)
- Sisi Yu
- Hulin Wei
- Dongsheng Wang
Institutions
- University of Electronic Science and Technology of China (CN)
- Xuzhou Medical College (CN)
- Chengdu University of Technology (CN)
- Sichuan Cancer Hospital (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Genomics Proteomics & Bioinformatics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1093/gpbjnl/qzaf031
- Citations
- 6
- Primary Topic
- Antiplatelet Therapy and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 8.33