BARCODED CLONAL TRACKING OF GENE TARGETING IN CELLS
Researchers at Stanford and the Chan Zuckerberg Biohub have developed a methodology to monitor cell expansion and differentiation following targeted genomic modification.
Targeted DNA correction of disease-causing mutations offers promise in the treatment of genetic diseases. Following targeted genomic modification, it is often desirable to follow progeny cells, especially in situations where possible secondary mutations can occur in the genome (e.g., due to off-target effects) such that progeny cells act differently. However, because of the precise nucleotide-resolution nature of gene correction, it is not possible to track the output of any specific gene modified cell or understand clonal dynamics with current approaches.
Stage of Research
The inventors have developed TRACE-Seq (Tracking Recombination Alleles in Clonal Engraftment using Sequencing), a methodology that allows for both targeted genome modification and for the monitoring and tracking of different cells having the same targeted modification. TRACE-Seq utilizes barcoded donor vector libraries, carrying either in-frame silent mutations or semi-randomized nucleotide sequences outside the coding region, such that independent, and otherwise identical, targeted modifications can be monitored by the presence of different barcode sequences. The inventors demonstrate the impact of TRACE-Seq for translational and basic research through the targeted barcoding of the hemoglobin allele (HBB) and cell tracking within a heterogenous hematopoietic cell population.
Applications
Advantages
Stage of Development
Research – in vitro
Publications
Sharma R, Dever DP, Lee CM, Azizi A, Pan Y, Camarena J, Köhnke T, Bao G, Porteus MH, Majeti R. The TRACE-Seq method tracks recombination alleles and identifies clonal reconstitution dynamics of gene targeted human hematopoietic stem cells. Nat Commun. 2021. Doi: 10.1038/s41467-020-20792-y
PCT publication WO2020210225
Related Web Links
http://med.stanford.edu/porteuslab.html, http://med.stanford.edu/majetilab.html
Keywords
Genome editing, CRISPR, Cas9, blood, genome integration, nuclease
Technology Reference
Chan Zuckerberg Biohub CZB-124S, Stanford S18-467