Joint profiling of DNA and proteins in single cells to dissect genotype-phenotype associations in leukemia
Benjamin Demaree,
Cyrille L. Delley,
Harish N. Vasudevan,
Cheryl A. C. Peretz,
David Ruff,
Catherine C. Smith and
Adam R. Abate ()
Additional contact information
Benjamin Demaree: University of California, San Francisco
Cyrille L. Delley: University of California, San Francisco
Harish N. Vasudevan: University of California, San Francisco
Cheryl A. C. Peretz: University of California, San Francisco
David Ruff: Mission Bio, Inc.
Catherine C. Smith: University of California, San Francisco
Adam R. Abate: University of California, San Francisco
Nature Communications, 2021, vol. 12, issue 1, 1-10
Abstract:
Abstract Studies of acute myeloid leukemia rely on DNA sequencing and immunophenotyping by flow cytometry as primary tools for disease characterization. However, leukemia tumor heterogeneity complicates integration of DNA variants and immunophenotypes from separate measurements. Here we introduce DAb-seq, a technology for simultaneous capture of DNA genotype and cell surface phenotype from single cells at high throughput, enabling direct profiling of proteogenomic states in tens of thousands of cells. To demonstrate the approach, we analyze the disease of three patients with leukemia over multiple treatment timepoints and disease recurrences. We observe complex genotype-phenotype dynamics that illustrate the subtlety of the disease process and the degree of incongruity between blast cell genotype and phenotype in different clinical scenarios. Our results highlight the importance of combined single-cell DNA and protein measurements to fully characterize the heterogeneity of leukemia.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/s41467-021-21810-3 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21810-3
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-021-21810-3
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().