Protocol to track single-cell-derived clones using DNA barcoding combined with single-cell RNA sequencing

Clonal fitness and plasticity drive tumor heterogeneity contributing to disease progression and treatment resistance. Here, we provide a protocol to track the clonal outputs from uniquely marked cells. We describe steps for constructing and validating lentiviral DNA barcode libraries. We then detail procedures for single-cell RNA sequencing. This approach links clonal growth activity with transcriptomic profiles and enables permanent cellular labeling to track clonal dynamics in various model systems, which can provide insight into molecular processes underlying clone function. For complete details on the use and execution of this protocol, please refer to Nguyen et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-11-28
DOI
https://doi.org/10.1016/j.xpro.2025.104229
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Protocol to track single-cell-derived clones using DNA barcoding combined with single-cell RNA sequencing

Sahil Sharma, Hyun Jin Shin, Sarah Kronheim, Long Nguyen et al.
STAR Protocols
Single-cell and spatial transcriptomics
article

Protocol to track single-cell-derived clones using DNA barcoding combined with single-cell RNA sequencing

Sahil Sharma, Hyun Jin Shin, Sarah Kronheim, Long Nguyen, May Cheung
article en

Abstract

Clonal fitness and plasticity drive tumor heterogeneity contributing to disease progression and treatment resistance. Here, we provide a protocol to track the clonal outputs from uniquely marked cells. We describe steps for constructing and validating lentiviral DNA barcode libraries. We then detail procedures for single-cell RNA sequencing. This approach links clonal growth activity with transcriptomic profiles and enables permanent cellular labeling to track clonal dynamics in various model systems, which can provide insight into molecular processes underlying clone function. For complete details on the use and execution of this protocol, please refer to Nguyen et al.<sup>1</sup>.

STAR ProtocolsVol. 6(4)
University Health Network (CA), University of Toronto (CA), Princess Margaret Cancer Centre (CA)
Openalex Percentile: Top 66%
Single-cell and spatial transcriptomics
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