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A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

Authors :
Allegra A. Petti
Stephen R. Williams
Christopher A. Miller
Ian T. Fiddes
Sridhar N. Srivatsan
David Y. Chen
Catrina C. Fronick
Robert S. Fulton
Deanna M. Church
Timothy J. Ley
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

The advent of single-cell RNA sequencing has revealed significant transcriptional heterogeneity in cancer, but its relationship to genomic heterogeneity remains unclear. Focusing on acute myeloid leukemia samples, the authors describe a general approach for linking mutation-containing cells to their transcriptional phenotypes using single-cell RNA sequencing data.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.7387f8418fd4439a8a668e9564cc12b
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-019-11591-1