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.

Links