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deepBase v3.0: expression atlas and interactive analysis of ncRNAs from thousands of deep-sequencing data

Fangzhou Xie, Shurong Liu, Junhao Wang, Jiajia Xuan, Xiaoqin Zhang, Liang‐Hu Qu, Ling‐Ling Zheng, Jianhua Yang

2020Nucleic Acids Research55 citationsDOIOpen Access PDF

Abstract

Eukaryotic genomes encode thousands of small and large non-coding RNAs (ncRNAs). However, the expression, functions and evolution of these ncRNAs are still largely unknown. In this study, we have updated deepBase to version 3.0 (deepBase v3.0, http://rna.sysu.edu.cn/deepbase3/index.html), an increasingly popular and openly licensed resource that facilitates integrative and interactive display and analysis of the expression, evolution, and functions of various ncRNAs by deeply mining thousands of high-throughput sequencing data from tissue, tumor and exosome samples. We updated deepBase v3.0 to provide the most comprehensive expression atlas of small RNAs and lncRNAs by integrating ∼67 620 data from 80 normal tissues and ∼50 cancer tissues. The extracellular patterns of various ncRNAs were profiled to explore their applications for discovery of noninvasive biomarkers. Moreover, we constructed survival maps of tRNA-derived RNA Fragments (tRFs), miRNAs, snoRNAs and lncRNAs by analyzing >45 000 cancer sample data and corresponding clinical information. We also developed interactive webs to analyze the differential expression and biological functions of various ncRNAs in ∼50 types of cancers. This update is expected to provide a variety of new modules and graphic visualizations to facilitate analyses and explorations of the functions and mechanisms of various types of ncRNAs.

Topics & Concepts

BiologyComputational biologySmall nucleolar RNAmicroRNAENCODEGenomeRNANon-coding RNASmall RNADeep sequencingGeneticsGeneCancer-related molecular mechanisms researchRNA modifications and cancerRNA Research and Splicing