GPSAdb 2.0: an expanded atlas of gene-perturbation transcriptomes with enhanced tools for regulatory gene discovery
Gene perturbation is essential for uncovering gene function and its involvement in various biological processes and diseases. GPSAdb 2.0 (https://www.gpsadb.com/) presents a significantly expanded and improved platform for exploring gene expression changes following gene knockdown across diverse cell lines. Compared to GPSAdb 1.0, this new version offers several key upgrades: (i) a substantial increase in data coverage, now featuring 7665 gene knockdown groups, 42 235 samples, and 2810 perturbation genes across a broader array of cell lines and biological conditions; (ii) the introduction of new tools, including "BioTrigger" for flexible gene set enrichment analysis and "fastGPSA" for rapid, advanced differential expression analysis. With these enhancements, GPSAdb 2.0 provides researchers with a powerful resource for investigating gene perturbation effects and gaining deeper insights into transcriptional regulation, making it an invaluable resource for studies on gene regulation, disease mechanisms, and potential therapeutic targets.
Authors
- Yanshuang Jiang
- Daxue Li
- Jieya Zou (ORCID: https://orcid.org/0000-0002-9163-9058)
- Shipeng Guo (ORCID: https://orcid.org/0000-0002-9286-7132)
- Zhou-Geng Xu (ORCID: https://orcid.org/0000-0001-7682-3482)
- Shengchun Liu (ORCID: https://orcid.org/0000-0002-9933-3643)
- Weiwei Li (ORCID: https://orcid.org/0000-0002-6042-4177)
- Qian Zhang (ORCID: https://orcid.org/0000-0002-0769-1057)
- Mei Lu
- Lina Mao
Institutions
- Chinese Academy of Sciences (CN)
- Kunming Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Center for Excellence in Molecular Plant Sciences (CN)
- Children's Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1093/nar/gkaf1077
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00