Simulation of CRISPR-Cas9 editing on evolving barcode and accuracy of lineage tracing

We designed a simulation program that mimics the CRISPR-Cas9 editing on evolving barcode and double strand break repair procedure along with cell divisions. Emerging barcode mutations tend to build upon previously existing mutations, occurring sequentially with each generation. This process results in a unique mutation profile in each cell. We sample the barcodes in leaf cells and reconstruct the lineage, comparing it to the original lineage tree to test algorithm accuracy under different parameter settings. Our computational simulations validate the reasonable assumptions deduced from experimental observations, emphasizing that factors such as sampling size, barcode length, multiple barcodes, indel probabilities, and Cas9 activity are critical for accurate and successful lineage tracing. Among the many factors we found that sampling size and indel probabilities are two major ones that affect lineage tracing accuracy. Large segment deletions in early generations could greatly impact lineage accuracy. These simulation results offer insightful recommendations for enhancing the design and analysis of Cas9-mediated molecular barcodes in actual experiments.

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Publication Details

Journal
Scientific Reports
Published
2024-08-19
DOI
https://doi.org/10.1038/s41598-024-70154-7
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.23

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article

Simulation of CRISPR-Cas9 editing on evolving barcode and accuracy of lineage tracing

Xiang H.-F. Zhang, Fengshuo Liu, Yipeng Yang
1 citations
Scientific Reports
CRISPR and Genetic Engineering
0.23
article

Simulation of CRISPR-Cas9 editing on evolving barcode and accuracy of lineage tracing

Xiang H.-F. Zhang, Fengshuo Liu, Yipeng Yang
article en
1 citations

Abstract

We designed a simulation program that mimics the CRISPR-Cas9 editing on evolving barcode and double strand break repair procedure along with cell divisions. Emerging barcode mutations tend to build upon previously existing mutations, occurring sequentially with each generation. This process results in a unique mutation profile in each cell. We sample the barcodes in leaf cells and reconstruct the lineage, comparing it to the original lineage tree to test algorithm accuracy under different parameter settings. Our computational simulations validate the reasonable assumptions deduced from experimental observations, emphasizing that factors such as sampling size, barcode length, multiple barcodes, indel probabilities, and Cas9 activity are critical for accurate and successful lineage tracing. Among the many factors we found that sampling size and indel probabilities are two major ones that affect lineage tracing accuracy. Large segment deletions in early generations could greatly impact lineage accuracy. These simulation results offer insightful recommendations for enhancing the design and analysis of Cas9-mediated molecular barcodes in actual experiments.

Scientific ReportsVol. 14(1)
Baylor College of Medicine (US), University of Houston - Clear Lake (US)
Division of Cancer Prevention, National Cancer Institute
Openalex Percentile: Top 43%
CRISPR and Genetic Engineering
0.23
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