scLTdb: A Comprehensive Single-Cell Lineage Tracing Database
Author Information
Author(s): Jiang Junyao, Ye Xing, Kong Yunhui, Guo Chenyu, Zhang Mingyuan, Cao Fang, Zhang Yanxiao, Pei Weike
Primary Institution: Westlake University
Hypothesis
The study aims to create a comprehensive database for single-cell lineage tracing (scLT) to facilitate the understanding of cell fate determination.
Conclusion
scLTdb provides an interactive interface for exploring and analyzing scLT data, enhancing our understanding of cell fate decisions and lineage commitments in development and diseases.
Supporting Evidence
- The scLTdb contains 109 datasets that include 2.8 million cells and 36 scLT technologies.
- scLTdb provides interactive analysis modules for visualizing and re-analyzing scLT datasets.
- The database allows users to identify fate-related gene signatures.
Takeaway
The scLTdb is like a big library where scientists can find and study how individual cells develop and change over time.
Methodology
The database was created by manually curating 109 datasets from literature, employing a standard analysis pipeline for scLT data.
Limitations
The database may not cover all existing scLT datasets and is limited to data available up to June 2024.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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