Endogenous CRISPR/Cas9 arrays for scalable whole-organism lineage tracing
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB37916 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4045300_1.fastq.gz | Fastqsanger.gz | |||
| ERR4045300_2.fastq.gz | Fastqsanger.gz | |||
| ERR4045301_1.fastq.gz | Fastqsanger.gz | |||
| ERR4045301_2.fastq.gz | Fastqsanger.gz | |||
| ERR4045299_1.fastq.gz | Fastqsanger.gz |
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Project description:Single-cell lineage tracing based on CRISPR/Cas9 gene editing enables the simultaneous linkage of cell states and lineage history at a high resolution. Despite its immense potential in resolving the cell fate determination and genealogy within an organism, existing implementations of this technology suffers from the limitations in recording capabilities and considerable information dropout. Here, we introduce a versatile tool, DuTracer, which utilizes two orthogonal gene editing systems to record deep cell lineage history at single-cell resolution in an inducible manner. DuTracer shows the ability of enhanced lineage recording with minimized target dropouts and deepened tree depth. Application of DuTracer in mouse embryoid bodies and neuromesodermal organoids illustrates the transition pattern of the lineage relationship of different cell types and proposes potential lineage-biased molecular drivers. Moreover, we have developed an entropy-based approach to quantify the lineage recording ability of DuTracer in cell differentiation models. Together, DuTracer facilitates the precise and regulatory interrogation of cellular lineages of complex biological processes.
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