clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers

被引:71
作者
Campbell, Kieran R. [1 ,2 ,3 ]
Steif, Adi [1 ,4 ]
Laks, Emma [1 ,4 ]
Zahn, Hans [1 ,7 ]
Lai, Daniel [1 ]
McPherson, Andrew [1 ]
Farahani, Hossein [1 ]
Kabeer, Farhia [1 ]
O'Flanagan, Ciara [1 ]
Biele, Justina [1 ,6 ]
Brimhall, Jazmine [1 ,6 ]
Wang, Beixi [1 ,6 ]
Walters, Pascale [1 ]
Bouchard-Cote, Alexandre [2 ]
Aparicio, Samuel [1 ,6 ]
Shah, Sohrab P. [1 ,5 ,6 ]
机构
[1] British Columbia Canc Res Ctr, Dept Mol Oncol, Vancouver, BC, Canada
[2] Univ British Columbia, Dept Stat, Vancouver, BC, Canada
[3] Univ British Columbia, UBC Data Sci Inst, Vancouver, BC, Canada
[4] Univ British Columbia, Genome Sci & Technol Grad Program, Vancouver, BC, Canada
[5] Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, Computat Oncol, New York, NY 10021 USA
[6] Univ British Columbia, Dept Pathol & Lab Med, Vancouver, BC, Canada
[7] Univ British Columbia, Michael Smith Labs, Vancouver, BC, Canada
[8] CRUK IMAXT Grand Challenge Consortium, Cambridge, England
基金
加拿大健康研究院;
关键词
COPY-NUMBER ALTERATION; MHC CLASS-I; GENOME; SEQ; EXPRESSION; INFERENCE; REVEALS;
D O I
10.1186/s13059-019-1645-z
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Measuring gene expression of tumor clones at single-cell resolution links functional consequences to somatic alterations. Without scalable methods to simultaneously assay DNA and RNA from the same single cell, parallel single-cell DNA and RNA measurements from independent cell populations must be mapped for genome-transcriptome association. We present clonealign, which assigns gene expression states to cancer clones using single-cell RNA and DNA sequencing independently sampled from a heterogeneous population. We apply clonealign to triple-negative breast cancer patient-derived xenografts and high-grade serous ovarian cancer cell lines and discover clone-specific dysregulated biological pathways not visible using either sequencing method alone.
引用
收藏
页数:12
相关论文
共 50 条
[1]   High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin [J].
Achim, Kaia ;
Pettit, Jean-Baptiste ;
Saraiva, Luis R. ;
Gavriouchkina, Daria ;
Larsson, Tomas ;
Arendt, Detlev ;
Marioni, John C. .
NATURE BIOTECHNOLOGY, 2015, 33 (05) :503-U215
[2]   Prospective identification of tumorigenic breast cancer cells [J].
Al-Hajj, M ;
Wicha, MS ;
Benito-Hernandez, A ;
Morrison, SJ ;
Clarke, MF .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (07) :3983-3988
[3]  
[Anonymous], BIORXIV
[4]  
[Anonymous], ALL SIMULATED DATA C
[5]  
[Anonymous], 10X GENOMICS CHROMIU
[6]  
[Anonymous], BLOOD
[7]  
[Anonymous], LATENT TREE MODEL
[8]  
[Anonymous], 2018, BIORXIV, DOI DOI 10.1101/413047
[9]  
[Anonymous], LATENT TREE MODEL SO
[10]  
[Anonymous], 2018, BIORXIV