Processed Single-Cell and Bulk RNA-seq Data for A549 Cell Lineage Tracing

Processed datasets of single-cell RNA-seq and bulk RNA-seq from lineage tracing experiments on A549 cells. The data, authored by Yongjie Lin and last updated in April 2026, includes experiments conducted both in vitro and in vivo using barcode lentivirus pools and 10X Genomics Chromium protocols. The dataset is 278.4 MB in size and is available in RDS, CSV, and TXT file formats under a CC-BY-4.0 license.

Use Cases

• Analyzing clonal relationships and lineage dynamics in cancer cells based on the described barcode-based lineage tracing.
• Studying differential gene expression between in vitro and in vivo tumor environments for A549 cells.
• Developing or benchmarking computational methods for single-cell RNA-seq data integration and analysis.
• Mapping phenotypic changes in cancer cells over time based on the described expansion and cryopreservation protocol.

Strengths

• Includes both in vitro and in vivo experimental conditions, providing comparative context.
• Data is processed and available in multiple accessible formats (RDS, CSV, TXT).
• Detailed experimental protocol is described, including cell sorting, barcoding, and sequencing methods.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical needs.
• Data may reflect bias inherent to the specific cell line (A549) and experimental model systems used.

Provenance

Source

Yongjie Lin, via figshare.

Collection Method

Generated from lineage tracing experiments using barcode lentivirus pools and 10X Genomics Chromium Next GEM Single Cell 3' Reagent Kits.

Time Range

Experimental timeframe not specified; dataset last updated in 2026.

Freshness

Last updated 2026-04 29 06:46:48; freshness should be verified.

Geography

Animal experiments approved by Peking University IACUC; specific geographic location of data generation not specified.