ArticleNature biotechnology2026
A multi-kingdom genetic barcoding system for precise clone isolation.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Strength through diversity: how cancers thrive when clones cooperate.Molecular oncology · 2026Review
- Perspectives from the 2025 ISCBI/ISCI joint workshop on genetic stability, clonal monitoring, ethical data governance, and global inclusion in stem cell banking.Stem cell research & therapy · 2026Article
- Oligo-CALL: A next-generation barcoding platform for studying resistance to targeted therapy.Science advances · 2025Article
- Doblin: inferring dominant clonal lineages from high-resolution DNA barcoding time series.Bioinformatics (Oxford, England) · 2025Article
- The Japan-UK Synthetic Biology Conference, Spring 2025: Strengthening Global Links to Engineer Biology.ACS synthetic biology · 2025Article
- Answering open questions in biology using spatial genomics and structured methods.BMC bioinformatics · 2024Review
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Authors and funding
28 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-tagging strategies with DNA barcodes have enabled the analysis of clone size dynamics and clone-restricted transcriptomic landscapes in heterogeneous populations. However, isolating a target clone that displays a specific phenotype from a complex population remains challenging. Here we present a multi-kingdom genetic barcoding system, CloneSelect, which enables a target cell clone to be triggered to express a reporter gene for isolation through barcode-specific CRISPR base editing. In CloneSelect, cells are first stably tagged with DNA barcodes and propagated so that their subpopulation can be subjected to a given experiment. A clone that shows a phenotype or genotype of interest at a given time can then be isolated from the initial or subsequent cell pools stored during the experiment using CRISPR base editing. CloneSelect is scalable and compatible with single-cell RNA sequencing. We demonstrate the versatility of CloneSelect in human embryonic kidney 293T cells, mouse embryonic stem cells, human pluripotent stem cells, yeast cells and bacterial cells.
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Registered trials
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