scLTdb: a comprehensive single-cell lineage tracing database

Area of Science:

• Developmental Biology
• Genomics
• Bioinformatics

Background:

• Single-cell lineage tracing (scLT) integrates cellular barcoding and sequencing to study cell fate and molecular profiles.
• Understanding gene regulatory programs governing cell fate determination is crucial but lacks a centralized database.
• Existing methods require comprehensive data integration for robust analysis.

Purpose of the Study:

• To introduce the single-cell lineage tracing database (scLTdb) as a centralized resource.
• To provide tools for visualizing, re-analyzing, and identifying fate-related gene signatures from scLT data.
• To facilitate the understanding of cell fate decisions and lineage commitment.

Main Methods:

• Manual curation and standardized pipeline analysis of 109 scLT datasets.
• Development of interactive analysis modules for data exploration.
• Integration of cell fate and lineage relationship analyses.

Main Results:

• The scLTdb hosts 109 curated scLT datasets.
• Interactive modules enable comprehensive cell fate and lineage relationship analysis.
• Users can identify fate-related gene signatures through the database.

Conclusions:

• scLTdb offers an accessible platform for scLT data exploration and analysis.
• The database will advance the study of cell fate determination in development and disease.
• Facilitates research into lineage commitment and regulatory networks.