CellTag
CellTag enables genetic barcode-based sample multiplexing and longitudinal lineage tracing in single-cell genomics.
Key Features:
- Genetic Barcode-Based Multiplexing: Employs predefined lentiviral barcodes that are heritable and enable tagging, pooling, and tracking of cell populations.
- High-Throughput Compatibility: Optimized for high-throughput single-cell assays and addresses experimental design, sample multiplexing, batch effect removal, and data interpretation.
- Versatility Across Cell Types: Demonstrated applicability across diverse cell types, allowing use in multiple biological contexts.
- Long-Term Tracking Capabilities: Enables longitudinal tracking of cellular processes such as engraftment and differentiation in vivo.
Scientific Applications:
- Lineage Tracing: Uses unique barcodes to trace the lineage and fate of individual cells over time.
- Single-Cell Transcriptome Sequencing (scRNA-seq): Facilitates multiplexing of samples for scRNA-seq to increase throughput and reduce costs in transcriptomic studies.
- In Vivo Studies: Supports tracking of cell behavior and fate within living organisms, including engraftment and differentiation dynamics.
Methodology:
Integration of lentiviral barcodes into target-cell genomes and detection of these stable, heritable barcodes by sequencing after pooling tagged cells for multiplexed analysis.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Guo C, Kong W, Kamimoto K, Rivera-Gonzalez GC, Yang X, Kirita Y, Morris SA. CellTag Indexing: genetic barcode-based sample multiplexing for single-cell genomics. Genome Biology. 2019;20(1). doi:10.1186/s13059-019-1699-y. PMID:31072405. PMCID:PMC6509836.
PMID: 31072405
PMCID: PMC6509836
Funding: - National Institute of General Medical Sciences: GM126112
- National Human Genome Research Institute: HG009750
- Silicon Valley Community Foundation: HCA-A-1704-01646, HCA2-A-1708- 02799
- Children's Discovery Institute: MI-II-2016-544
- National Institute of Diabetes and Digestive and Kidney Diseases: P30 DK052574