PerturbSeq.db: An Integrated Repository for Comprehensive Analysis of Single-cell Perturbation Data

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Single-cell perturbation studies offer deep insights into cellular mechanisms.
• Challenges exist in accessing and integrating diverse single-cell perturbation datasets.
• Standardization is needed for comparative analysis across studies.

Purpose of the Study:

• To create a centralized, harmonized database for single-cell perturbation data.
• To improve data accessibility and facilitate integrated analysis.
• To support research on cellular responses to genetic and chemical perturbations.

Main Methods:

• Consolidation of 189 single-cell RNA-seq (scRNA-seq) and single-cell ATAC-seq (scATAC-seq) datasets from 77 studies.
• Application of a uniform data processing pipeline for consistency.
• Development of an interactive user interface for data exploration.

Main Results:

• PerturbSeq.db integrates data from approximately 50 cell lines or tissues.
• The database provides a standardized collection of 165 scRNA-seq and 24 scATAC-seq datasets.
• An intuitive interface enables efficient navigation and analysis of complex perturbation data.

Conclusions:

• PerturbSeq.db is a valuable resource for the scientific community.
• It addresses data accessibility and integration challenges in single-cell perturbation research.
• The database empowers researchers to better analyze and interpret single-cell perturbation effects.