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Rapid Communication | Open Access

Integrated bulk and single-cell transcriptome data identify clinically relevant cell populations in clear cell renal cell carcinoma

Pingbao Zhanga,1, Pu Zhangb,1, Jun Gaoc,1, Xiaosong Lid,1, Chengcheng Weib, Weihui Liue, QingLiu Hee( ), Yuan Zhangf
Department of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Department of Urology Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, China
Department of Nephrology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China

Peer review under responsibility of Chongqing Medical University.

1 These authors contributed equally to this work.

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Genes & Diseases
Volume 11 Issue 1,
January 2024
Pages 42-45
DOI: 10.1016/j.gendis.2023.03.007

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Cite this article:
Zhang P, Zhang P, Gao J, et al. Integrated bulk and single-cell transcriptome data identify clinically relevant cell populations in clear cell renal cell carcinoma. Genes & Diseases, 2024, 11(1): 42-45. https://doi.org/10.1016/j.gendis.2023.03.007

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Received: 13 October 2022
Published: 07 April 2023
© 2023 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).