Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection

Rileen Sinha; Andrew G. Winer; Michael Chevinsky; Christopher Jakubowski; Ying-Bei Chen; Yiyu Dong; Satish K. Tickoo; Victor E. Reuter; Paul Russo; Jonathan A. Coleman; Chris Sander; James J. Hsieh; A. Ari Hakimi

doi:10.1038/ncomms15165

Nature Communications (May 2017)

Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection

Rileen Sinha,
Andrew G. Winer,
Michael Chevinsky,
Christopher Jakubowski,
Ying-Bei Chen,
Yiyu Dong,
Satish K. Tickoo,
Victor E. Reuter,
Paul Russo,
Jonathan A. Coleman,
Chris Sander,
James J. Hsieh,
A. Ari Hakimi

Affiliations

Rileen Sinha: Department of Computational Biology, Memorial Sloan-Kettering Cancer Center
Andrew G. Winer: Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center
Michael Chevinsky: Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center
Christopher Jakubowski: Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center
Ying-Bei Chen: Department of Pathology, Memorial Sloan-Kettering Cancer Center
Yiyu Dong: Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center
Satish K. Tickoo: Department of Pathology, Memorial Sloan-Kettering Cancer Center
Victor E. Reuter: Department of Pathology, Memorial Sloan-Kettering Cancer Center
Paul Russo: Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center
Jonathan A. Coleman: Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center
Chris Sander: Department of Biostatistics and Computational Biology, Department of Cell Biology, cBio Center, Dana-Farber Cancer Institute and Compbio Collaboratory, Harvard Medical School
James J. Hsieh: Department of Medicine, Molecular Oncology, Siteman Cancer Center, Washington University
A. Ari Hakimi: Department of Computational Biology, Memorial Sloan-Kettering Cancer Center

DOI: https://doi.org/10.1038/ncomms15165
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 10

Abstract

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Cell lines are central to cancer research, but knowing which cell lines are the best representative of actual tumours is a major challenge. Here the authors provide a resource assessment of 65 renal cell lines to assist researchers in selecting suitable lines for studying specific renal carcinoma subtypes.

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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