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Quantitative Analysis of Synthetic Cell Lineage Tracing Using Nuclease Barcoding
Stephanie Tzouanas Schmidt1, Stephanie M Zimmerman2, Jianbin Wang1
1Department of Bioengineering, Stanford University , Stanford, California 94305, United States.
ACS Synthetic Biology
|March 8, 2017
Summary
We developed a novel synthetic lineage tracing system using dynamic sequence-based barcodes. This method maps cell progeny to understand biological processes and disease mechanisms, with demonstrated success in C. elegans.
Area of Science:
- Developmental Biology
- Genetics
- Systems Biology
Background:
- Lineage tracing is crucial for understanding biological processes from development to disease.
- Current methods face challenges in precision and scalability.
Purpose of the Study:
- To develop and validate a dynamic sequence-based barcode system for synthetic lineage tracing.
- To establish a robust method for mapping cell progeny and understanding cellular dynamics.
Main Methods:
- Introduction of synthetically controlled mutations into single cells.
- Propagation of mutations to daughter cells across cell divisions.
- Analysis using experimental data, simulation, and analytical models.
Main Results:
- Demonstrated proof of concept for synthetic lineage tracing in C. elegans.
- Established bounds on the fidelity of the dynamic sequence-based barcode system.
- Gained deeper understanding of the system's coding capacity.
Conclusions:
- The developed system offers a powerful tool for high-fidelity lineage tracing.
- This approach enhances the elucidation of mechanisms in development and disease.
- The study provides insights into the capabilities and limitations of sequence-based lineage tracing.

