Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research
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 br...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-07-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-31536-5 |
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author | Qiuchen Guo Milos Spasic Adam G. Maynard Gregory J. Goreczny Amanuel Bizuayehu Jessica F. Olive Peter van Galen Sandra S. McAllister |
author_facet | Qiuchen Guo Milos Spasic Adam G. Maynard Gregory J. Goreczny Amanuel Bizuayehu Jessica F. Olive Peter van Galen Sandra S. McAllister |
author_sort | Qiuchen Guo |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-11T15:30:12Z |
format | Article |
id | doaj.art-68595d6af5874896ae6bf1963f294793 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-11T15:30:12Z |
publishDate | 2022-07-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-68595d6af5874896ae6bf1963f2947932022-12-22T01:00:06ZengNature PortfolioNature Communications2041-17232022-07-0113111510.1038/s41467-022-31536-5Clonal barcoding with qPCR detection enables live cell functional analyses for cancer researchQiuchen Guo0Milos Spasic1Adam G. Maynard2Gregory J. Goreczny3Amanuel Bizuayehu4Jessica F. Olive5Peter van Galen6Sandra S. McAllister7Division of Hematology, Department of Medicine, Brigham and Women’s HospitalDivision of Hematology, Department of Medicine, Brigham and Women’s HospitalDepartment of Medicine, Harvard Medical SchoolDivision of Hematology, Department of Medicine, Brigham and Women’s HospitalDivision of Hematology, Department of Medicine, Brigham and Women’s HospitalDivision of Hematology, Department of Medicine, Brigham and Women’s HospitalDivision of Hematology, Department of Medicine, Brigham and Women’s HospitalDivision of Hematology, Department of Medicine, Brigham and Women’s HospitalDNA 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.https://doi.org/10.1038/s41467-022-31536-5 |
spellingShingle | Qiuchen Guo Milos Spasic Adam G. Maynard Gregory J. Goreczny Amanuel Bizuayehu Jessica F. Olive Peter van Galen Sandra S. McAllister Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research Nature Communications |
title | Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research |
title_full | Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research |
title_fullStr | Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research |
title_full_unstemmed | Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research |
title_short | Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research |
title_sort | clonal barcoding with qpcr detection enables live cell functional analyses for cancer research |
url | https://doi.org/10.1038/s41467-022-31536-5 |
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