Title |
Oncogenic Role of THOR, a Conserved Cancer/Testis Long Non-coding RNA
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Published in |
Cell, December 2017
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DOI | 10.1016/j.cell.2017.11.040 |
Pubmed ID | |
Authors |
Yasuyuki Hosono, Yashar S. Niknafs, John R. Prensner, Matthew K. Iyer, Saravana M. Dhanasekaran, Rohit Mehra, Sethuramasundaram Pitchiaya, Jean Tien, June Escara-Wilke, Anton Poliakov, Shih-Chun Chu, Sahal Saleh, Keerthana Sankar, Fengyun Su, Shuling Guo, Yuanyuan Qiao, Susan M. Freier, Huynh-Hoa Bui, Xuhong Cao, Rohit Malik, Timothy M. Johnson, David G. Beer, Felix Y. Feng, Weibin Zhou, Arul M. Chinnaiyan |
Abstract |
Large-scale transcriptome sequencing efforts have vastly expanded the catalog of long non-coding RNAs (lncRNAs) with varying evolutionary conservation, lineage expression, and cancer specificity. Here, we functionally characterize a novel ultraconserved lncRNA, THOR (ENSG00000226856), which exhibits expression exclusively in testis and a broad range of human cancers. THOR knockdown and overexpression in multiple cell lines and animal models alters cell or tumor growth supporting an oncogenic role. We discovered a conserved interaction of THOR with IGF2BP1 and show that THOR contributes to the mRNA stabilization activities of IGF2BP1. Notably, transgenic THOR knockout produced fertilization defects in zebrafish and also conferred a resistance to melanoma onset. Likewise, ectopic expression of human THOR in zebrafish accelerated the onset of melanoma. THOR represents a novel class of functionally important cancer/testis lncRNAs whose structure and function have undergone positive evolutionary selection. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 19% |
United Kingdom | 7 | 10% |
France | 4 | 6% |
Japan | 4 | 6% |
Germany | 2 | 3% |
China | 2 | 3% |
Comoros | 1 | 1% |
Switzerland | 1 | 1% |
Canada | 1 | 1% |
Other | 9 | 13% |
Unknown | 27 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 44 | 61% |
Scientists | 26 | 36% |
Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 209 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 23% |
Researcher | 36 | 17% |
Student > Master | 26 | 12% |
Student > Bachelor | 19 | 9% |
Other | 11 | 5% |
Other | 31 | 15% |
Unknown | 38 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 80 | 38% |
Agricultural and Biological Sciences | 28 | 13% |
Medicine and Dentistry | 26 | 12% |
Immunology and Microbiology | 7 | 3% |
Neuroscience | 3 | 1% |
Other | 15 | 7% |
Unknown | 50 | 24% |