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

Documentation

Links