1. Key Laboratory of Gene Engineering of the Ministry of Education, Institute of Healthy Aging Research, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, China. 2. School of Automation, Guangdong University of Technology, Guangzhou, 510006, China. 3. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China. 4. Faculty of Health Sciences, University of Macau, Macau, 999078, China. *These authors contribute equally to this work.
✉ Corresponding author: Yuanyan Xiong, Key Laboratory of Gene Engineering of the Ministry of Education and State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510006, China. Tel: +86 18520658664; E-mail: xyyansysu.edu.cn.More
Citation:
Zhu H, Huang L, Liu S, Dai Z, Songyang Z, Weng Z, Xiong Y. REIA: A database for cancer A-to-I RNA editing with interactive analysis. Int J Biol Sci 2022; 18(6):2472-2483. doi:10.7150/ijbs.69458. https://www.ijbs.com/v18p2472.htm
Epitranscriptomic changes caused by adenosine-to-inosine (A-to-I) RNA editing contribute to the pathogenesis of human cancers; however, only a small fraction of the millions editing sites detected so far has clear functionality. To facilitate more in-depth studies on the editing, this paper offers REIA (http://bioinfo-sysu.com/reia), an interactive web server that analyses and visualizes the association between human cancers and A-to-I RNA editing sites (RESs). As a comprehensive database, REIA curates not only 8,447,588 RESs from 9,895 patients across 34 cancers, where 33 are from TCGA and 1 from GEO, but also 13 different types of multi-omic data for the cancers. As an interactive server, REIA provides various options for the user to specify the interested sites, to browse their annotation/editing level/profile in cancer, and to compare the difference in multi-omic features between editing and non-editing groups. From the editing profiles, REIA further detects 658 peptides that are supported by mass spectrum data but not yet covered in any prior works.
Zhu, H., Huang, L., Liu, S., Dai, Z., Songyang, Z., Weng, Z., Xiong, Y. (2022). REIA: A database for cancer A-to-I RNA editing with interactive analysis. International Journal of Biological Sciences, 18(6), 2472-2483. https://doi.org/10.7150/ijbs.69458.
ACS
Zhu, H.; Huang, L.; Liu, S.; Dai, Z.; Songyang, Z.; Weng, Z.; Xiong, Y. REIA: A database for cancer A-to-I RNA editing with interactive analysis. Int. J. Biol. Sci. 2022, 18 (6), 2472-2483. DOI: 10.7150/ijbs.69458.
NLM
Zhu H, Huang L, Liu S, Dai Z, Songyang Z, Weng Z, Xiong Y. REIA: A database for cancer A-to-I RNA editing with interactive analysis. Int J Biol Sci 2022; 18(6):2472-2483. doi:10.7150/ijbs.69458. https://www.ijbs.com/v18p2472.htm
CSE
Zhu H, Huang L, Liu S, Dai Z, Songyang Z, Weng Z, Xiong Y. 2022. REIA: A database for cancer A-to-I RNA editing with interactive analysis. Int J Biol Sci. 18(6):2472-2483.
This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Global reach, higher impact
