PerturBase: a comprehensive database for single-cell perturbation data analysis and visualization

Qi Liu, Ling Guo,Zhiting Wei, Duanmiao Si,Bin Duan,Yicheng Gao, Qian Yu

biorxiv(2024)

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摘要
Single cell perturbation sequencing techniques (scPerturbation), represented by single cell genetic perturbation sequencing (e.g., Perturb seq) and single cell chemical perturbation sequencing (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 functions and mechanisms in complex biological systems at an unprecedented resolution. Despite these advancements, a notable gap exists in the availability of a dedicated database for exploring and querying scPerturbation data. To address this gap and facilitate seamless data sharing for researchers, we present PerturBase the first and most comprehensive database designed for the analysis and visualization of scPerturbation data (http://www.perturbase.cn/). PerturBase consolidates 122 datasets from 46 publicly accessible research studies, covering 115 single modal and 7 multi modal datasets that include 24254 genetic and 230 chemical perturbations from about 6 million cells. The database provides insights through various software analyzed results, encompassing quality control, denoising, differential expression gene analysis, perturbation function analysis, and correlation characterization between perturbations. All datasets and in depth analyses are presented in user friendly, easy to browse pages and can be visualized through intuitive tables and various image formats. In summary, PerturBase stands as a pioneering high content database, intended for searching, visualizing, and analyzing scPerturbation datasets, contributing to an enhanced understanding of perturbation functions and mechanisms. ### Competing Interest Statement The authors have declared no competing interest.
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