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RMBase v2.0:从转录组测序数据中破译 RNA 修饰的图谱。

RMBase v2.0: deciphering the map of RNA modifications from epitranscriptome sequencing data.

机构信息

Key Laboratory of Gene Engineering of the Ministry of Education, Sun Yat-sen University, Guangzhou 510275, PR China.

State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China.

出版信息

Nucleic Acids Res. 2018 Jan 4;46(D1):D327-D334. doi: 10.1093/nar/gkx934.

Abstract

More than 100 distinct chemical modifications to RNA have been characterized so far. However, the prevalence, mechanisms and functions of various RNA modifications remain largely unknown. To provide transcriptome-wide landscapes of RNA modifications, we developed the RMBase v2.0 (http://rna.sysu.edu.cn/rmbase/), which is a comprehensive database that integrates epitranscriptome sequencing data for the exploration of post-transcriptional modifications of RNAs and their relationships with miRNA binding events, disease-related single-nucleotide polymorphisms (SNPs) and RNA-binding proteins (RBPs). RMBase v2.0 was expanded with ∼600 datasets and ∼1 397 000 modification sites from 47 studies among 13 species, which represents an approximately 10-fold expansion when compared with the previous release. It contains ∼1 373 000 N6-methyladenosines (m6A), ∼5400 N1-methyladenosines (m1A), ∼9600 pseudouridine (Ψ) modifications, ∼1000 5-methylcytosine (m5C) modifications, ∼5100 2'-O-methylations (2'-O-Me), and ∼2800 modifications of other modification types. Moreover, we built a new module called 'Motif' that provides the visualized logos and position weight matrices (PWMs) of the modification motifs. We also constructed a novel module termed 'modRBP' to study the relationships between RNA modifications and RBPs. Additionally, we developed a novel web-based tool named 'modMetagene' to plot the metagenes of RNA modification along a transcript model. This database will help researchers investigate the potential functions and mechanisms of RNA modifications.

摘要

目前已经鉴定出超过 100 种不同的 RNA 化学修饰。然而,各种 RNA 修饰的普遍性、机制和功能在很大程度上仍然未知。为了提供 RNA 修饰的转录组全景图,我们开发了 RMBase v2.0(http://rna.sysu.edu.cn/rmbase/),这是一个综合数据库,整合了 RNA 转录后修饰的表观基因组测序数据,用于探索 miRNA 结合事件、与疾病相关的单核苷酸多态性(SNP)和 RNA 结合蛋白(RBP)之间的关系。RMBase v2.0 扩展了约 600 个数据集和约 139.7 万个修饰位点,来自 13 个物种的 47 项研究,与前一版本相比,扩展了约 10 倍。它包含约 137.3 万个 N6-甲基腺苷(m6A)、约 5400 个 N1-甲基腺苷(m1A)、约 9600 个假尿嘧啶(Ψ)修饰、约 1000 个 5-甲基胞嘧啶(m5C)修饰、约 5100 个 2'-O-甲基化(2'-O-Me)和约 2800 个其他修饰类型。此外,我们构建了一个名为“Motif”的新模块,提供了修饰基序的可视化徽标和位置权重矩阵(PWM)。我们还构建了一个名为“modRBP”的新模块,用于研究 RNA 修饰与 RBP 之间的关系。此外,我们开发了一个名为“modMetagene”的新型基于网络的工具,用于在转录模型上绘制 RNA 修饰的元基因。这个数据库将帮助研究人员研究 RNA 修饰的潜在功能和机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bde/5753293/6acdf5ad2526/gkx934fig1.jpg

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