barcodetrackR
barcodetrackR analyzes clonal tracking data from cellular barcoding experiments to quantify clonal dynamics, lineage reconstitution, and potential vector genotoxicity.
Key Features:
- Quantitative Insights: Enables quantitative analysis of genetically labeled progenitor cells over time and across different cellular compartments.
- Standardized Analytical Frameworks: Provides standardized methods to systematically interpret complex clonal tracking datasets.
- Visualization Tools: Generates visualizations of longitudinal clonal patterns and lineage relationships relevant to hematopoietic stem and progenitor cells (HSPCs).
- Application in Gene and Cell Therapies: Applicable to studies of HSPC gene therapy in humans and lentivirally transduced HSPC transplants in animal models to assess lineage reconstitution and vector genotoxicity.
Scientific Applications:
- Hematopoietic Stem and Progenitor Cell (HSPC) Studies: Analyzes HSPC proliferation, differentiation, and contribution to lineage reconstitution in clinical and preclinical settings.
- Gene Therapy Research: Tracks clonal dynamics to evaluate long-term effects and safety profiles of gene therapy interventions, including potential genotoxic risks associated with viral vectors.
Methodology:
Processes and analyzes clonal tracking experimental data by accepting experimental input, applying analytical models, and generating visual representations that elucidate temporal and spatial patterns of cell lineage development.
Topics
Details
- License:
- CC0-1.0
- Tool Type:
- library, web application
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 1/31/2021
Operations
Publications
Espinoza DA, Mortlock RD, Koelle SJ, Wu C, Dunbar CE. <i>barcodetrackR</i>: an R package for the interrogation of clonal tracking data. Unknown Journal. 2020. doi:10.1101/2020.07.23.212787.