UBC Faculty Research and Publications

clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers Campbell, Kieran R; Steif, Adi; Laks, Emma; Zahn, Hans; Lai, Daniel; McPherson, Andrew; Farahani, Hossein; Kabeer, Farhia; O’Flanagan, Ciara; Biele, Justina; Brimhall, Jazmine; Wang, Beixi; Walters, Pascale; Consortium, IMAXT; Bouchard-Côté, Alexandre; Aparicio, Samuel; Shah, Sohrab P

Abstract

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.

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Attribution 4.0 International (CC BY 4.0)

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