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Updated: Jun 9, 2025

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice

Published on: December 18, 2015

scLTdb: a comprehensive single-cell lineage tracing database.

Junyao Jiang^1,2,3, Xing Ye^1,2,4, Yunhui Kong⁵

¹Westlake Laboratory of Life Sciences and Biomedicine, No. 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China.

Nucleic Acids Research

|October 29, 2024

Summary

This summary is machine-generated.

A new database, scLTdb, offers curated single-cell lineage tracing (scLT) data for exploring cell fate and gene regulation. This resource aids in understanding cell development and disease mechanisms.

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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.