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LinRace: single cell lineage reconstruction using paired lineage barcode and gene expression data
Xinhai Pan1, Hechen Li1, Pranav Putta1
1School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta GA 30332, USA.
Biorxiv : the Preprint Server for Biology
|April 24, 2023
Summary
LinRace accurately reconstructs cell division trees by integrating gene expression and lineage barcode data. This novel method also infers ancestral cell states, advancing developmental and stem cell biology research.
Area of Science:
- Developmental Biology
- Stem Cell Biology
- Genomics
- Bioinformatics
Background:
- Understanding single-cell division and differentiation is crucial in developmental and stem cell biology.
- CRISPR/Cas9-based lineage tracing enables simultaneous gene expression and lineage barcode readouts for cell division tree reconstruction.
- Current lineage reconstruction methods primarily use lineage barcodes, with emerging approaches incorporating gene expression data for improved accuracy.
Conclusions:
- LinRace provides a powerful new approach for lineage reconstruction by effectively integrating multi-modal single-cell data.
- The ability to infer ancestral cell states offers novel opportunities for studying cell fate decisions and developmental processes.
- This method advances the field of developmental biology by enabling more comprehensive analysis of cell division and differentiation.
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