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Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research

Author

Listed:
  • Qiuchen Guo

    (Brigham and Women’s Hospital
    Harvard Medical School)

  • Milos Spasic

    (Brigham and Women’s Hospital
    Harvard Medical School)

  • Adam G. Maynard

    (Harvard Medical School)

  • Gregory J. Goreczny

    (Brigham and Women’s Hospital
    Harvard Medical School)

  • Amanuel Bizuayehu

    (Brigham and Women’s Hospital)

  • Jessica F. Olive

    (Brigham and Women’s Hospital
    Harvard Medical School)

  • Peter Galen

    (Brigham and Women’s Hospital
    Harvard Medical School
    Broad Institute of Harvard and MIT
    Harvard Stem Cell Institute)

  • Sandra S. McAllister

    (Brigham and Women’s Hospital
    Harvard Medical School
    Broad Institute of Harvard and MIT
    Harvard Stem Cell Institute)

Abstract

Single-cell analysis methods are valuable tools; however, current approaches do not easily enable live cell retrieval. That is a particular issue when further study of cells that were eliminated during experimentation could provide critical information. We report a clonal molecular barcoding method, called SunCatcher, that enables longitudinal tracking and live cell functional analysis. From complex cell populations, we generate single cell-derived clonal populations, infect each with a unique molecular barcode, and retain stocks of individual barcoded clones (BCs). We develop quantitative PCR-based and next-generation sequencing methods that we employ to identify and quantify BCs in vitro and in vivo. We apply SunCatcher to various breast cancer cell lines and combine respective BCs to create versions of the original cell lines. While the heterogeneous BC pools reproduce their original parental cell line proliferation and tumor progression rates, individual BCs are phenotypically and functionally diverse. Early spontaneous metastases can also be identified and quantified. SunCatcher thus provides a rapid and sensitive approach for studying live single-cell clones and clonal evolution, and performing functional analyses.

Suggested Citation

  • Qiuchen Guo & Milos Spasic & Adam G. Maynard & Gregory J. Goreczny & Amanuel Bizuayehu & Jessica F. Olive & Peter Galen & Sandra S. McAllister, 2022. "Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31536-5
    DOI: 10.1038/s41467-022-31536-5
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