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Global computational alignment of tumor and cell line transcriptional profiles

Authors :
Allison Warren
Yejia Chen
Andrew Jones
Tsukasa Shibue
William C. Hahn
Jesse S. Boehm
Francisca Vazquez
Aviad Tsherniak
James M. McFarland
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

The determination of whether cancer cell lines recapitulate the molecular features of corresponding patient tumours remains essential for the selection of appropriate cell line models for preclinical studies. The method developed here, Celligner, integrates cancer cell line and tumour RNA-seq datasets and reveals large differences in their concordance across cell lines and cancer types.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.3fba48e4d01a443c98e860de08f9d7ef
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-20294-x