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

Qiuchen Guo; Milos Spasic; Adam G. Maynard; Gregory J. Goreczny; Amanuel Bizuayehu; Jessica F. Olive; Peter van Galen; Sandra S. McAllister

doi:10.1038/s41467-022-31536-5

Nature Communications (Jul 2022)

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

Qiuchen Guo,
Milos Spasic,
Adam G. Maynard,
Gregory J. Goreczny,
Amanuel Bizuayehu,
Jessica F. Olive,
Peter van Galen,
Sandra S. McAllister

Affiliations

Qiuchen Guo: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital
Milos Spasic: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital
Adam G. Maynard: Department of Medicine, Harvard Medical School
Gregory J. Goreczny: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital
Amanuel Bizuayehu: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital
Jessica F. Olive: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital
Peter van Galen: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital
Sandra S. McAllister: Division of Hematology, Department of Medicine, Brigham and Women’s Hospital

DOI: https://doi.org/10.1038/s41467-022-31536-5
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 15

Abstract

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DNA barcoding methods for the analysis of clonal heterogeneity in cancer have been limited in terms of throughput and practical requirements. Here, the authors develop SunCatcher, a rapid and sensitive barcoding approach for live single-cell clonal evolution analysis, and use this method to study breast cancer cell populations.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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