BAR-Seq
BAR-Seq enables clonal tracking of gene-edited cells by analyzing barcode sequencing data derived from homology-directed targeted integration of barcoding cassettes.
Key Features:
- Clonal Tracking Capability: Enables analysis of clonal dynamics of cells edited with engineered nucleases through barcode sequencing.
- Broad Applicability: Applicable across diverse gene editing strategies for analysis of engineered clones in basic and translational research.
- Efficient Workflow: Supports rapid library preparation and validation followed by clonal analyses that can be completed in approximately one week.
Scientific Applications:
- Hematopoietic Stem/Progenitor Cell Clonal Analysis: Investigates clonal dynamics of human edited hematopoietic stem/progenitor cells in xenotransplanted hosts.
- Comparative Evaluation of Editing Protocols: Compares gene editing protocols at the clonal level to inform optimization of editing strategies.
Methodology:
Performs clonal tracking analyses on raw barcode sequencing data generated from homology-directed targeted integration of barcoding cassettes.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, web application
- Added:
- 6/14/2021
- Last Updated:
- 8/13/2021
Operations
Publications
Ferrari S, Beretta S, Jacob A, Cittaro D, Albano L, Merelli I, Naldini L, Genovese P. BAR-Seq clonal tracking of gene-edited cells. Nature Protocols. 2021;16(6):2991-3025. doi:10.1038/s41596-021-00529-x. PMID:34031609.
PMID: 34031609
Funding: - Fondazione Telethon: Grant E3, Grant E4
- Ministero della Salute: E-Rare-3 JTC 2017, GR-2013-02358956, PE-2016-02363691
- Ministero dell'Istruzione, dell'Università e della Ricerca: PRIN 2017 Prot. 20175XHBN
- EC | Horizon 2020 Framework Programme: UPGRADE
- Louis-Jeantet Foundation: 2019 Jeantet-Collen Prize for Translational Medicine
Documentation
Links
Repository
https://bitbucket.org/bereste/bar-seq