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LinRace: cell division history reconstruction of single cells using paired lineage barcode and gene expression data

Author

Listed:
  • Xinhai Pan

    (Georgia Institute of Technology)

  • Hechen Li

    (Georgia Institute of Technology)

  • Pranav Putta

    (Georgia Institute of Technology)

  • Xiuwei Zhang

    (Georgia Institute of Technology)

Abstract

Lineage tracing technology using CRISPR/Cas9 genome editing has enabled simultaneous readouts of gene expressions and lineage barcodes in single cells, which allows for inference of cell lineage and cell types at the whole organism level. While most state-of-the-art methods for lineage reconstruction utilize only the lineage barcode data, methods that incorporate gene expressions are emerging. Effectively incorporating the gene expression data requires a reasonable model of how gene expression data changes along generations of divisions. Here, we present LinRace (Lineage Reconstruction with asymmetric cell division model), which integrates lineage barcode and gene expression data using asymmetric cell division model and infers cell lineages and ancestral cell states using Neighbor-Joining and maximum-likelihood heuristics. On both simulated and real data, LinRace outputs more accurate cell division trees than existing methods. With inferred ancestral states, LinRace can also show how a progenitor cell generates a large population of cells with various functionalities.

Suggested Citation

  • Xinhai Pan & Hechen Li & Pranav Putta & Xiuwei Zhang, 2023. "LinRace: cell division history reconstruction of single cells using paired lineage barcode and gene expression data," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-44173-3
    DOI: 10.1038/s41467-023-44173-3
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    References listed on IDEAS

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    1. Anna Alemany & Maria Florescu & Chloé S. Baron & Josi Peterson-Maduro & Alexander van Oudenaarden, 2018. "Whole-organism clone tracing using single-cell sequencing," Nature, Nature, vol. 556(7699), pages 108-112, April.
    2. Michelle M. Chan & Zachary D. Smith & Stefanie Grosswendt & Helene Kretzmer & Thomas M. Norman & Britt Adamson & Marco Jost & Jeffrey J. Quinn & Dian Yang & Matthew G. Jones & Alex Khodaverdian & Nir , 2019. "Molecular recording of mammalian embryogenesis," Nature, Nature, vol. 570(7759), pages 77-82, June.
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