Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
PlateletBase: A Comprehensive Knowledgebase for Platelet Research and Disease Insights
Huaichao LuoiD, Changchun WuiD, Sisi YuiD, Hanxiao ReniD, Xing YiniD, Ruiling ZuiD, Lubei RaoiD, Peiying ZhangiD, X. X. ZhangiD, Ruohao WuiD, Ping LengiD, Kaijiong ZhangiD, Qi PengiD, Bangrong CaoiD, Rui QiniD, Hulin WeiiD, Jianlin QiaoiD, Shanling XuiD, Qun YiiD, Yang ZhangiD, Jian Hua HuangiD, Dongsheng WangiD
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-seq data from 3,711 samples across 41 different conditions available on 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, 4,869 proteomic entries, 2,614 omics knowledge entries, 1,833 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. Case study results, such as those from gray platelet syndrome and angina pectoris, demonstrate that this tool can aid in identifying diagnostic biomarkers and exploring disease mechanisms, significantly advancing research in platelet functionality and its applications. PlateletBase is accessible at http://plateletbase.clinlabomics.org.cn/.
- organism: human
- assay: bulk RNA-seq
- assay: proteomics
- research focus: database / resource
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: benchmark study
- Citations
- 11
- FWCI
- 8.08
- Field percentile
- top 2%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The First Comprehensive Description of the Platelet Single Cell Transcriptome
Walter Wolfsberger, Chase Dietz, … Donald Lynch·bioRxiv·Oct 15, 2024
- Hidden Complexity of Pediatric Platelet Disorders: Functional Diversity and Unexpected Hypercoagulable Phenotypes
T.O. Shepelyuk, Evgeniya A. Melnikova, … Ekaterina L. Grishchuk·bioRxiv·May 28, 2026
- Altered microRNA expression profles are involved in Storage Lesions of Apheresis Platelet
Zhaohu Yuan, Qianyu Wu, … Yaming Wei·bioRxiv·Aug 6, 2018
- Platelets as key cells in endometriosis patients: insights from small extracellular vesicles in peritoneal fluid and endometriotic lesions analysis
Barbara Bortot, Roberta Di Florio, … Stefania Biffi·The FASEB JournalPeer-reviewed·Dec 19, 2024
- Genome Sequencing Unveils a New Regulatory Landscape of Platelet Reactivity
Ali Reza Keramati, Ming‐Huei Chen, … Paul S. de Vries·Nature CommunicationsPeer-reviewed·Jun 15, 2021
- Deciphering Abnormal Platelet Subpopulations in Inflammatory Diseases through Machine Learning and Single-Cell Transcriptomics
Xinru Qiu, Meera Goh Nair, … Adam Godzik·International Journal of Molecular SciencesPeer-reviewed·May 29, 2024