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Updated: Aug 5, 2026

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Genome Editing in Mammalian Cell Lines using CRISPR-Cas
Published on: April 11, 2019
BASELINE: a CRISPR base editing platform for mammalian-scale single-cell lineage tracing
Evan Winter1,2, Francesco Emiliani1,2, Aidan Cook1,3
1Molecular and Systems Biology, Dartmouth College, Hanover, NH, 03755, USA.
Nucleic Acids Research
|August 4, 2026
Summary
Researchers developed BASELINE, a new CRISPR-based tool for high-resolution lineage tracing. This technology accurately maps cell development and is useful for studying complex biological systems and diseases.
Area of Science:
- Molecular Biology
- Genetics
- Developmental Biology
Background:
- Cellular fate is determined by inherited lineage and environmental context.
- CRISPR-based lineage recording technologies offer potential but face challenges in single-cell recovery, engineering, and scalability.
- Accurate lineage tracing is crucial for understanding development and disease progression.
Purpose of the Study:
- To introduce BASELINE, a novel CRISPR-based system for high-resolution lineage tracing.
- To overcome limitations of existing lineage recording technologies.
- To enable detailed mapping of cellular lineages in complex biological systems.
Main Methods:
- Utilized base editing with the Cas12a adenine base editor for irreversible nucleotide editing.
- Designed target arrays with 50 synthetic target sites integrated multiple times into the genome.
- Combined lineage recording with single-cell profiling for comprehensive analysis.
Main Results:
- BASELINE achieved high-resolution lineage tree generation.
- Recorded over 4300 bits of information in a pancreatic cancer model, a 50-fold increase over existing methods.
- Demonstrated high-fidelity capture of recorders, averaging 29 cell divisions per lineage, suitable for mammalian development.
Conclusions:
- BASELINE offers a significant advancement in lineage tracing technology.
- The system is robust across biologically relevant timescales and provides unprecedented information density.
- Expected to be widely applicable to diverse lineage-tracing studies in development and disease, particularly in challenging, distributed systems.
