Evidence for Existence of Multiple Functional Human Small RNAs Derived from Transcripts of Protein-Coding Genes

被引:2
|
作者
Gao, Fan [1 ]
Wang, Fang [1 ]
Cao, Huifen [1 ]
Chen, Yue [1 ]
Diao, Yong [1 ]
Kapranov, Philipp [1 ]
机构
[1] Huaqiao Univ, Inst Genom, Sch Med, 668 Jimei Rd, Xiamen 361021, Peoples R China
基金
中国国家自然科学基金;
关键词
small RNA; short RNA; noncoding RNA; RNA dark matter; high-throughput phenotypic assay; NONCODING RNAS; TINY RNAS; LANDSCAPE; CLEAVAGE; PROMOTER; REVEAL; SITES; MAPS;
D O I
10.3390/ijms24044163
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The human genome encodes a multitude of different noncoding transcripts that have been traditionally separated on the basis of their lengths into long (>200 nt) or small (<200 nt) noncoding RNAs. The functions, mechanisms of action, and biological relevance of the vast majority of both long and short noncoding transcripts remain unknown. However, according to the functional understanding of the known classes of long and small noncoding RNAs (sncRNAs) that have been shown to play crucial roles in multiple biological processes, it is generally assumed that many unannotated long and small transcripts participate in important cellular functions as well. Nevertheless, direct evidence of functionality is lacking for most noncoding transcripts, especially for sncRNAs that are often dismissed as stable degradation products of longer RNAs. Here, we developed a high-throughput assay to test the functionality of sncRNAs by overexpressing them in human cells. Surprisingly, we found that a significant fraction (>40%) of unannotated sncRNAs appear to have biological relevance. Furthermore, contrary to the expectation, the potentially functional transcripts are not highly abundant and can be derived from protein-coding mRNAs. These results strongly suggest that the small noncoding transcriptome can harbor multiple functional transcripts that warrant future studies.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes
    Valen, Eivind
    Preker, Pascal
    Andersen, Peter Refsing
    Zhao, Xiaobei
    Chen, Yun
    Ender, Christine
    Dueck, Anne
    Meister, Gunter
    Sandelin, Albin
    Jensen, Torben Heick
    NATURE STRUCTURAL & MOLECULAR BIOLOGY, 2011, 18 (09) : 1075 - U1702
  • [2] Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes
    Eivind Valen
    Pascal Preker
    Peter Refsing Andersen
    Xiaobei Zhao
    Yun Chen
    Christine Ender
    Anne Dueck
    Gunter Meister
    Albin Sandelin
    Torben Heick Jensen
    Nature Structural & Molecular Biology, 2011, 18 : 1075 - 1082
  • [3] Diversity of transcripts emanating from protein-coding genes
    Rasko, John E. J.
    Preiss, Thomas
    SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 2018, 75 : 1 - 2
  • [4] Bacterial Noncoding RNAs Excised from within Protein-Coding Transcripts
    Dar, Daniel
    Sorek, Rotem
    MBIO, 2018, 9 (05):
  • [5] The expression level of small non-coding RNAs derived from the first exon of protein-coding genes is predictive of cancer status
    Zovoilis, Athanasios
    Mungall, Andrew J.
    Moore, Richard
    Varhol, Richard
    Chu, Andy
    Wong, Tina
    Marra, Marco
    Jones, Steven J. M.
    EMBO REPORTS, 2014, 15 (04) : 402 - 410
  • [6] Might exogenous circular RNAs act as protein-coding transcripts in plants?
    Marquez-Molins, Joan
    Navarro, Jose Antonio
    Seco, Luis Cervera
    Pallas, Vicente
    Gomez, Gustavo
    RNA BIOLOGY, 2021, 18 : 98 - 107
  • [7] Multiple evidence strands suggest that there may be as few as 19 000 human protein-coding genes
    Ezkurdia, Iakes
    Juan, David
    Manuel Rodriguez, Jose
    Frankish, Adam
    Diekhans, Mark
    Harrow, Jennifer
    Vazquez, Jesus
    Valencia, Alfonso
    Tress, Michael L.
    HUMAN MOLECULAR GENETICS, 2014, 23 (22) : 5866 - 5878
  • [8] Circular RNAs: Unexpected outputs of many protein-coding genes
    Wilusz, Jeremy E.
    RNA BIOLOGY, 2017, 14 (08) : 1007 - 1017
  • [9] Are orphan genes protein-coding, prediction artifacts, or non-coding RNAs?
    Prabh, Neel
    Roedelsperger, Christian
    BMC BIOINFORMATICS, 2016, 17
  • [10] Are orphan genes protein-coding, prediction artifacts, or non-coding RNAs?
    Neel Prabh
    Christian Rödelsperger
    BMC Bioinformatics, 17