Literature DB >> 27650948

Identifying and annotating human bifunctional RNAs reveals their versatile functions.

Geng Chen1, Juan Yang2, Jiwei Chen2, Yunjie Song1, Ruifang Cao2, Tieliu Shi3, Leming Shi4,5,6,7.   

Abstract

Bifunctional RNAs that possess both protein-coding and noncoding functional properties were less explored and poorly understood. Here we systematically explored the characteristics and functions of such human bifunctional RNAs by integrating tandem mass spectrometry and RNA-seq data. We first constructed a pipeline to identify and annotate bifunctional RNAs, leading to the characterization of 132 high-confidence bifunctional RNAs. Our analyses indicate that bifunctional RNAs may be involved in human embryonic development and can be functional in diverse tissues. Moreover, bifunctional RNAs could interact with multiple miRNAs and RNA-binding proteins to exert their corresponding roles. Bifunctional RNAs may also function as competing endogenous RNAs to regulate the expression of many genes by competing for common targeting miRNAs. Finally, somatic mutations of diverse carcinomas may generate harmful effect on corresponding bifunctional RNAs. Collectively, our study not only provides the pipeline for identifying and annotating bifunctional RNAs but also reveals their important gene-regulatory functions.

Entities:  

Keywords:  RNA-seq; bifunctional RNA; noncoding RNA; tandem mass spectrometry

Mesh:

Substances:

Year:  2016        PMID: 27650948     DOI: 10.1007/s11427-016-0054-1

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  4 in total

Review 1.  Sequencing XMET genes to promote genotype-guided risk assessment and precision medicine.

Authors:  Yaqiong Jin; Geng Chen; Wenming Xiao; Huixiao Hong; Joshua Xu; Yongli Guo; Wenzhong Xiao; Tieliu Shi; Leming Shi; Weida Tong; Baitang Ning
Journal:  Sci China Life Sci       Date:  2019-05-20       Impact factor: 6.038

2.  dbSAP: single amino-acid polymorphism database for protein variation detection.

Authors:  Ruifang Cao; Yan Shi; Shuangguan Chen; Yimin Ma; Jiajun Chen; Juan Yang; Geng Chen; Tieliu Shi
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

3.  Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma.

Authors:  Li Zhang; Chenkai Lv; Yaqiong Jin; Ganqi Cheng; Yibao Fu; Dongsheng Yuan; Yiran Tao; Yongli Guo; Xin Ni; Tieliu Shi
Journal:  Front Genet       Date:  2018-10-18       Impact factor: 4.599

Review 4.  Translation role of circRNAs in cancers.

Authors:  Yaqin Lu; Zhe Li; Chen Lin; Jian Zhang; Zhisen Shen
Journal:  J Clin Lab Anal       Date:  2021-06-07       Impact factor: 2.352

  4 in total

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