Wei Zhiting, Si Duanmiao, Duan Bin, Gao Yicheng, Yu Qian, Zhang Zhenbo, Guo Ling, Liu Qi
State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Reproductive Medicine Center, Department of Obstetrics and Gynecology, Tongji Hospital, School of Medicine, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Nucleic Acids Res. 2025 Jan 6;53(D1):D1099-D1111. doi: 10.1093/nar/gkae858.
Single-cell perturbation (scPerturbation) sequencing techniques, represented by single-cell genetic perturbation (e.g. Perturb-seq) and single-cell chemical perturbation (e.g. sci-Plex), result from the integration of single-cell toolkits with conventional bulk screening methods. These innovative sequencing techniques empower researchers to dissect perturbation effects in biological systems at an unprecedented resolution. Despite these advancements, a notable gap exists in the availability of a dedicated database for exploring scPerturbation data. To address this gap, we present PerturBase, the most comprehensive database designed for the analysis and visualization of scPerturbation data (http://www.perturbase.cn/). PerturBase curates 122 datasets from 46 publicly available studies, covering 115 single-modal and 7 multi-modal datasets that include 24 254 genetic and 230 chemical perturbations from approximately 5 million cells. The database, comprising the 'Dataset' and 'Perturbation' modules, provides insights into various results, encompassing quality control, denoising, differential gene expression analysis, functional analysis of perturbation effects and characterization of relationships between perturbations. All the datasets and results are presented on user-friendly, easy-to-browse web pages and can be visualized through intuitive and interactive plot and table formats. In summary, PerturBase stands as a pioneering, high-content database intended for searching, visualizing and analyzing scPerturbation datasets, contributing to a deeper understanding of perturbation effects.
以单细胞基因扰动(如Perturb-seq)和单细胞化学扰动(如sci-Plex)为代表的单细胞扰动(scPerturbation)测序技术,是单细胞工具包与传统批量筛选方法整合的产物。这些创新的测序技术使研究人员能够以前所未有的分辨率剖析生物系统中的扰动效应。尽管取得了这些进展,但在探索scPerturbation数据的专用数据库方面仍存在显著差距。为了填补这一差距,我们推出了PerturBase,这是一个专为scPerturbation数据的分析和可视化而设计的最全面的数据库(http://www.perturbase.cn/)。PerturBase整理了来自46项公开研究的122个数据集,涵盖115个单模态和7个多模态数据集,包括来自约500万个细胞的24254个基因扰动和230个化学扰动。该数据库由“数据集”和“扰动”模块组成,提供了对各种结果的见解,包括质量控制、去噪、差异基因表达分析、扰动效应的功能分析以及扰动之间关系的表征。所有数据集和结果都呈现在用户友好、易于浏览的网页上,并可以通过直观且交互式的图表和表格格式进行可视化。总之,PerturBase是一个开创性的、高内涵的数据库,旨在搜索、可视化和分析scPerturbation数据集,有助于更深入地理解扰动效应。