Processed single cell lienage data in scLTdb

Single-cell lineage tracing (scLT) is a powerful technique that integrates DNA barcoding systems with single-cell sequencing technologies. This approach enables the simultaneous measurement of cell lineage and transcriptome or epigenomic profiles at the single-cell level. scLT technologies have been extensively employed in studying lineage relationships and cell fate heterogeneity across various biological systems. However, there is no comprehensive database available to users for searching, analyzing, visualizing, and downloading scLT data. Therefore, we developed scLTdb (scltdb.com), the first scLT database, containing 106 datasets across 36 scLT technologies. The database encompasses approximately 2.7 million cells across 13 tissues from 3 species. All datasets in scLTdb were manually curated and analyzed through a uniform workflow. scLTdb provides users with three distinct online modules designed specifically for visualizing and analyzing different modalities of scLT datasets. These modules include the Single Cell Module, which focuses on the analysis of the single cell modality; the Barcode Module, which is dedicated to the analysis of clone modality; and the Integrative Module, which facilitates the analysis of both single cell and clone modalities. Furthermore, scLTdb provides users with online tools to analyze user-provided scLT data. With these features, scLTdb aims to serve as a highly versatile platform, enabling users to conveniently explore and analyze published scLT datasets. Ultimately, scLTdb will play a vital role in promoting the advancement of modern biology.