Correlation Analyses Reveal a Limited Role of Transcription in Genome-Wide Differential MicroRNA Expression in Mammals

被引:1
|
作者
Zhang, Xiaoxiao [1 ]
Hu, Siling [1 ]
Su, Jia [1 ]
Xie, Zixuan [1 ]
Li, Wenjing [1 ]
Zeng, Yan [1 ]
机构
[1] Nanjing Agr Univ, Dept Zool, Coll Life Sci, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
miRNA; transcription; pri-miRNA; miRNA processing; correlation analysis; ENCODE datasets; YEAST SACCHAROMYCES-CEREVISIAE; MESSENGER-RNA; PROTEIN ABUNDANCE; GENE-EXPRESSION; BIOGENESIS; CELLS;
D O I
10.3389/fgene.2018.00154
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Transcription initiates the cascade of gene expression and is often assumed to play a predominant role in determining how much gene products are ultimately expressed. The relationship between mRNA levels and protein levels has been studied extensively to reveal the degrees of transcriptional and post-transcriptional regulation of protein expression. The extent to which transcription globally controls the differential expression of non-coding RNAs, however, is poorly defined. MicroRNAs (miRNAs) are a class of small, non-coding RNAs whose biogenesis involves transcription followed by extensive processing. Here, using hundreds of datasets produced from the ENCODE (Encyclopedia of DNA Elements) project we calculated the correlations between transcriptional activity and mature miRNA expression in diverse human cells, human tissues, and mouse tissues. While correlations vary among samples, most correlation coefficients are small. Interestingly, excluding miRNAs that were discovered later or weighting miRNA expression improves the correlations. Our results suggest that transcription contributes only modestly to differential miRNA expression at the genome-wide scale in mammals.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Genome-wide analyses in neuronal cells reveal that upstream transcription factors regulate lysosomal gene expression
    Yamanaka, Tomoyuki
    Tosaki, Asako
    Kurosawa, Masaru
    Shimogori, Tomomi
    Hattori, Nobutaka
    Nukina, Nobuyuki
    [J]. FEBS JOURNAL, 2016, 283 (06) : 1077 - 1087
  • [2] Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
    Wang, Fei
    Qin, Guoqing
    Liu, Junzhi
    Wang, Xiunan
    Ye, Baoguo
    [J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2020, 2020
  • [3] Genome-Wide Analyses Reveal a Role for Peptide Hormones in Planarian Germline Development
    Collins, James J., III
    Hou, Xiaowen
    Romanova, Elena V.
    Lambrus, Bramwell G.
    Miller, Claire M.
    Saberi, Amir
    Sweedler, Jonathan V.
    Newmark, Phillip A.
    [J]. PLOS BIOLOGY, 2010, 8 (10)
  • [4] Genome-wide analyses reveal drivers of penguin diversification
    Vianna, Juliana A.
    Fernandes, Flavia A. N.
    Jose Frugone, Maria
    Figueiro, Henrique V.
    Pertierra, Luis R.
    Nolla, Daly
    Bi, Ke
    Wang-Claypool, Cynthia Y.
    Lowther, Andrew
    Parker, Patricia
    Le Bohec, Celine
    Bonadonna, Francesco
    Wienecke, Barbara
    Pistorius, Pierre
    Steinfurth, Antje
    Burridge, Christopher P.
    Dantas, Gisele P. M.
    Poulin, Elie
    Simison, W. Brian
    Henderson, Jim
    Eizirik, Eduardo
    Nery, Mariana F.
    Bowie, Rauri C. K.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (36) : 22303 - 22310
  • [5] Genome-wide profiling and differential expression of microRNA in rat pluripotent stem cells
    Vladimir V. Sherstyuk
    Sergey P. Medvedev
    Evgeniy A. Elisaphenko
    Evgeniya A. Vaskova
    Maxim T. Ri
    Yuri V. Vyatkin
    Olga V. Saik
    Dmitry N. Shtokalo
    Evgeniy A. Pokushalov
    Suren M. Zakian
    [J]. Scientific Reports, 7
  • [6] Genome-wide profiling and differential expression of microRNA in rat pluripotent stem cells
    Sherstyuk, Vladimir V.
    Medvedev, Sergey P.
    Elisaphenko, Evgeniy A.
    Vaskova, Evgeniya A.
    Ri, Maxim T.
    Vyatkin, Yuri V.
    Saik, Olga V.
    Shtokalo, Dmitry N.
    Pokushalov, Evgeniy A.
    Zakian, Suren M.
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [7] Genome-wide analyses on transcription factors and their potential microRNA regulators involved in maize male fertility
    Li, Ziwen
    Zhu, Taotao
    Liu, Shuangshuang
    Jiang, Yilin
    Liu, Haoyun
    Zhang, Yuwen
    Xie, Ke
    Li, Jinping
    An, Xueli
    Wan, Xiangyuan
    [J]. CROP JOURNAL, 2021, 9 (06): : 1248 - 1262
  • [8] Genome-wide analyses on transcription factors and their potential microRNA regulators involved in maize male fertility
    Ziwen Li
    Taotao Zhu
    Shuangshuang Liu
    Yilin Jiang
    Haoyun Liu
    Yuwen Zhang
    Ke Xie
    Jinping Li
    Xueli An
    Xiangyuan Wan
    [J]. The Crop Journal, 2021, 9 (06) : 1248 - 1262
  • [9] Integrated genome-wide methylation and expression analyses reveal functional predictors of response to antidepressants
    Ju, Chelsey
    Fiori, Laura M.
    Belzeaux, Raoul
    Theroux, Jean-Francois
    Chen, Gary Gang
    Aouabed, Zahia
    Blier, Pierre
    Farzan, Faranak
    Frey, Benicio N.
    Giacobbe, Peter
    Lam, Raymond W.
    Leri, Francesco
    MacQueen, Glenda M.
    Milev, Roumen
    Mueller, Daniel J.
    Parikh, Sagar V.
    Rotzinger, Susan
    Soares, Claudio N.
    Uher, Rudolf
    Li, Qingqin
    Foster, Jane A.
    Kennedy, Sidney H.
    Turecki, Gustavo
    [J]. TRANSLATIONAL PSYCHIATRY, 2019, 9 (1)
  • [10] Integrated genome-wide methylation and expression analyses reveal functional predictors of response to antidepressants
    Chelsey Ju
    Laura M. Fiori
    Raoul Belzeaux
    Jean-Francois Theroux
    Gary Gang Chen
    Zahia Aouabed
    Pierre Blier
    Faranak Farzan
    Benicio N. Frey
    Peter Giacobbe
    Raymond W. Lam
    Francesco Leri
    Glenda M. MacQueen
    Roumen Milev
    Daniel J Müller
    Sagar V. Parikh
    Susan Rotzinger
    Claudio N. Soares
    Rudolf Uher
    Qingqin Li
    Jane A. Foster
    Sidney H. Kennedy
    Gustavo Turecki
    [J]. Translational Psychiatry, 9