Enyu Dai1, Feng Yang1, Jing Wang1, Xu Zhou1, Qian Song1, Weiwei An2, Lihong Wang3, Wei Jiang1,4. 1. Department of Biological Mathematics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. 2. Department of Oncological Pharmacology, Institute of Cancer Prevention and Treatment, Heilongjiang Academy of Medical Science, Harbin Medical University, Harbin 150081, China. 3. Department of Pathophysiology, School of Medicine, Southeast University, Nanjing 210009, China. 4. Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Abstract
SUMMARY: As a promising field of individualized therapy, non-coding RNA pharmacogenomics promotes the understanding of different individual responses to certain drugs and acts as a reasonable reference for clinical treatment. However, relevant information is scattered across the published literature, which is inconvenient for researchers to explore non-coding RNAs that are involved in drug resistance. To address this, we systemically identified validated and predicted drug resistance-associated microRNAs and long non-coding RNAs through manual curation and computational analysis. Subsequently, we constructed an omnibus repository named ncDR, which furnishes a user-friendly interface that allows for convenient browsing, visualization, querying and downloading of data. Given the rapidly increasing interest in precision medicine, ncDR will significantly improve our understanding of the roles of regulatory non-coding RNAs in drug resistance and has the potential to be a timely and valuable resource. AVAILABILITY AND IMPLEMENTATION: http://www.jianglab.cn/ncDR/. CONTACT: jiangwei@hrbmu.edu.cn or lw2247@yeah.net. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SUMMARY: As a promising field of individualized therapy, non-coding RNA pharmacogenomics promotes the understanding of different individual responses to certain drugs and acts as a reasonable reference for clinical treatment. However, relevant information is scattered across the published literature, which is inconvenient for researchers to explore non-coding RNAs that are involved in drug resistance. To address this, we systemically identified validated and predicted drug resistance-associated microRNAs and long non-coding RNAs through manual curation and computational analysis. Subsequently, we constructed an omnibus repository named ncDR, which furnishes a user-friendly interface that allows for convenient browsing, visualization, querying and downloading of data. Given the rapidly increasing interest in precision medicine, ncDR will significantly improve our understanding of the roles of regulatory non-coding RNAs in drug resistance and has the potential to be a timely and valuable resource. AVAILABILITY AND IMPLEMENTATION: http://www.jianglab.cn/ncDR/. CONTACT: jiangwei@hrbmu.edu.cn or lw2247@yeah.net. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors: Murilo S Amaral; Lucas F Maciel; Gilbert O Silveira; Giovanna G O Olberg; João V P Leite; Lucas K Imamura; Adriana S A Pereira; Patricia A Miyasato; Eliana Nakano; Sergio Verjovski-Almeida Journal: Sci Rep Date: 2020-12-09 Impact factor: 4.379