Shen Yi, Liu Liya, Liu Enyan, Li Sida, Orlov Yuriy, Ivanisenko Vladimir, Chen Ming
Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Institute of Biodesign and Complex Systems Modeling, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.
Database (Oxford). 2024 Dec 17;2024. doi: 10.1093/database/baae123.
Non-coding RNAs (ncRNAs) are traditionally considered incapable of encoding proteins, but new evidence suggests that small open reading frames (sORFs) within ncRNAs can actually encode biologically functional small peptides. Despite growing recognition of their importance, a systematic exploration of plant ncRNAs with coding potential has remained largely uncharted territory, especially in the context of their translational activities. By collecting and analyzing Ribo-Seq data from 226 Arabidopsis thaliana samples, we have integrated extensive information on Arabidopsis ncRNAs with coding potential and developed the AthRiboNC database, a novel and dedicated database that consolidates extensive information on ncRNAs with coding potential in Arabidopsis. AthRiboNC covers detailed information on 2743 long non-coding RNAs, 255 microRNAs, and 1871 circular RNA in Arabidopsis, along with 40 162 ORFs identified from these ncRNAs. The database also constructs co-expression networks for ncRNAs with coding potential, revealing correlations and potential biological function interpretations. With a commitment to accessibility and ease-of-use, AthRiboNC features a clear and intuitive interface. We hope that AthRiboNC will serve as a valuable resource for exploring the coding potential of plant ncRNAs. Database URL: https://bis.zju.edu.cn/athribonc.
非编码RNA(ncRNAs)传统上被认为不能编码蛋白质,但新证据表明,ncRNAs中的小开放阅读框(sORFs)实际上可以编码具有生物学功能的小肽。尽管人们越来越认识到它们的重要性,但对具有编码潜力的植物ncRNAs进行系统探索在很大程度上仍未涉足,特别是在其翻译活动方面。通过收集和分析来自226个拟南芥样本的核糖体图谱数据,我们整合了关于拟南芥具有编码潜力的ncRNAs的广泛信息,并开发了AthRiboNC数据库,这是一个新颖且专门的数据库,整合了拟南芥中具有编码潜力的ncRNAs的广泛信息。AthRiboNC涵盖了拟南芥中2743个长链非编码RNA、255个微小RNA和1871个环状RNA的详细信息,以及从这些ncRNAs中鉴定出的40162个开放阅读框。该数据库还构建了具有编码潜力的ncRNAs的共表达网络,揭示了相关性和潜在的生物学功能解释。为了便于访问和使用,AthRiboNC具有清晰直观的界面。我们希望AthRiboNC将成为探索植物ncRNAs编码潜力的宝贵资源。数据库网址:https://bis.zju.edu.cn/athribonc