Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types

K. Yu; B. Chen; D. Aran; J. Charalel; C. Yau; D. M. Wolf; L. J. van ‘t Veer; A. J. Butte; T. Goldstein; M. Sirota

doi:10.1038/s41467-019-11415-2

Nature Communications (Aug 2019)

Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types

K. Yu,
B. Chen,
D. Aran,
J. Charalel,
C. Yau,
D. M. Wolf,
L. J. van ‘t Veer,
A. J. Butte,
T. Goldstein,
M. Sirota

Affiliations

K. Yu: Bakar Computational Health Sciences Institute, University of California San Francisco
B. Chen: Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University
D. Aran: Bakar Computational Health Sciences Institute, University of California San Francisco
J. Charalel: Department of Genetics, Stanford University
C. Yau: Buck Institute for Research on Aging
D. M. Wolf: Department of Surgery, University of California, San Francisco
L. J. van ‘t Veer: Department of Laboratory Medicine, University of California, San Francisco
A. J. Butte: Bakar Computational Health Sciences Institute, University of California San Francisco
T. Goldstein: Bakar Computational Health Sciences Institute, University of California San Francisco
M. Sirota: Bakar Computational Health Sciences Institute, University of California San Francisco

DOI: https://doi.org/10.1038/s41467-019-11415-2
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 11

Abstract

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Cell lines are used ubiquitously in cancer research but how well they represent the tumor type they were derived from is variable. Here, the authors compare transcriptomic profiles of 22 tumor types and cell lines and propose a new comprehensive cell line panel for pan-cancer studies.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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