AthRiboNC:一个从核糖体分析中发现具有编码潜力的ncrna的拟南芥数据库。

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Yi Shen, Liya Liu, Enyan Liu, Sida Li, Yuriy Orlov, Vladimir Ivanisenko, Ming Chen
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引用次数: 0

摘要

传统上认为非编码rna (ncRNAs)不能编码蛋白质,但新的证据表明,ncRNAs中的小开放阅读框(sorf)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ncrna的系统探索在很大程度上仍然是未知的领域,特别是在其翻译活动的背景下。通过收集和分析226份拟南芥样本的核糖核酸序列数据,我们整合了大量具有编码潜力的拟南芥ncRNAs信息,并开发了AthRiboNC数据库,这是一个全新的专用数据库,用于整合拟南芥具有编码潜力的ncRNAs的大量信息。AthRiboNC涵盖了拟南芥中2743个长链非编码RNA、255个microrna和1871个环状RNA的详细信息,以及从这些ncrna中鉴定的40162个orf。该数据库还构建了具有编码潜力的ncrna的共表达网络,揭示了相关性和潜在的生物学功能解释。致力于可访问性和易用性,AthRiboNC具有清晰直观的界面。我们希望AthRiboNC能够成为探索植物ncrna编码潜力的宝贵资源。数据库地址:https://bis.zju.edu.cn/athribonc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AthRiboNC: an Arabidopsis database for ncRNAs with coding potential revealed from ribosome profiling.

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.

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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