Evidence map›Paper›PMID 39377396›Full record

ArticleNucleic acids research2025

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

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

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  4. Review
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  10. Review
  11. Article
  12. Genome biology · 2025
    Article
  13. Article
  14. Machine learning to dissect perturbations in complex cellular systems.Computational and structural biotechnology journal · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhiting WeiState 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.
Duanmiao SiState 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.ORCID 0009-0004-9824-2274
Bin DuanState 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.
Yicheng GaoState 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.
Qian YuZhejiang Lab, Kechuang Avenue, Zhongtai Subdistrict, Yuhang District, Hangzhou 311121, China.
Zhenbo ZhangReproductive 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.
Ling GuoZhejiang Lab, Kechuang Avenue, Zhongtai Subdistrict, Yuhang District, Hangzhou 311121, China.
Qi LiuState 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.ORCID 0000-0003-2578-1221

Funding

China Postdoctoral Science Foundation 2022M722418Fundamental Research Funds for the Central UniversitiesNational Key Research and Development Program of China 2021YFF1201200National Natural Science Foundation of China T24250193Shanghai Excellent Academic Leader ProjectShanghai Municipal Science and Technology Major Project 2021SHZDZX0100Shanghai Pilot Program for Basic ResearchShanghai Rising-Star Program 23YF1450200Shanghai Science and Technology Innovation Action Plan-Key Specialization in Computational BiologyShanghai Shuguang Scholars Project
6 · The paper itself

Abstract

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.

Indexed as

Single-Cell AnalysisDatabases, GeneticHumansInternetSoftwareUser-Computer Interface

Identifiers

PMID39377396
PMCPMC11701531

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.