Literature DB >> 21262742

Toward microRNA-mediated gene regulatory networks in plants.

Yijun Meng1, Chaogang Shao, Ming Chen.   

Abstract

Current achievements in plant microRNA (miRNA) research area are inspiring. Molecular cloning and functional elucidation have greatly advanced our understanding of this small RNA species. As one of the ultimate goals, many research efforts devoted to draw a comprehensive view of miRNA-mediated gene regulatory networks in plants. Numerous bioinformatics tools competent for network analysis have been available. However, the most important point for network construction is to obtain reliable analytical results based on sufficient experimental data. Here, we introduced a general workflow to retrieve and analyze the desired data sets that serve as the cornerstones for network construction. For the upstream analyses of miRNA genes, the sequence feature of miRNA promoters should be characterized. And, regulatory relationships between transcription factors (TFs) and miRNA genes need to be investigated. For the downstream part, we emphasized that the high-throughput degradome sequencing data were especially useful for genuine miRNA-target pair identification. Functional characterization of the miRNA targets is essential to provide deep biological insights into certain miRNA-mediated pathways. For miRNAs themselves, studies on their organ- or tissue-specific expression patterns and the mechanism of self-regulation were discussed. Besides, exhaustive literature mining is required to further support or improve the established networks. It is desired that the introduced framework for miRNA-mediated network construction is timely and useful and could inspire more research efforts in the miRNA research area.

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Year:  2011        PMID: 21262742     DOI: 10.1093/bib/bbq091

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  29 in total

Review 1.  The pivotal role of small non-coding RNAs in the regulation of seed development.

Authors:  Andreia S Rodrigues; Célia M Miguel
Journal:  Plant Cell Rep       Date:  2017-03-13       Impact factor: 4.570

2.  Computational identification of microRNAs and their targets in cassava (Manihot esculenta Crantz.).

Authors:  Onsaya Patanun; Manassawe Lertpanyasampatha; Punchapat Sojikul; Unchera Viboonjun; Jarunya Narangajavana
Journal:  Mol Biotechnol       Date:  2013-03       Impact factor: 2.695

3.  Deciphering the non-coding RNA-level response to arsenic stress in rice (Oryza sativa).

Authors:  Zhonghai Tang; Min Xu; Hidetaka Ito; Jiahui Cai; Xiaoxia Ma; Jingping Qin; Dongliang Yu; Yijun Meng
Journal:  Plant Signal Behav       Date:  2019-06-12

4.  The RNA degradome: a precious resource for deciphering RNA processing and regulation codes in plants.

Authors:  Xiaoxia Ma; Xiaopu Yin; Zhonghai Tang; Hidetaka Ito; Chaogang Shao; Yijun Meng; Tian Xie
Journal:  RNA Biol       Date:  2020-04-26       Impact factor: 4.652

5.  Long non-coding RNAs: a novel endogenous source for the generation of Dicer-like 1-dependent small RNAs in Arabidopsis thaliana.

Authors:  Xiaoxia Ma; Chaogang Shao; Yongfeng Jin; Huizhong Wang; Yijun Meng
Journal:  RNA Biol       Date:  2014-04-04       Impact factor: 4.652

6.  Transcriptome-wide identification and functional investigation of the RDR2- and DCL3-dependent small RNAs encoded by long non-coding RNAs in Arabidopsis thaliana.

Authors:  Zhonghai Tang; Min Xu; Jiahui Cai; Xiaoxia Ma; Jingping Qin; Yijun Meng
Journal:  Plant Signal Behav       Date:  2019-05-13

7.  Cooperative Regulatory Functions of miR858 and MYB83 during Cyst Nematode Parasitism.

Authors:  Sarbottam Piya; Christina Kihm; J Hollis Rice; Thomas J Baum; Tarek Hewezi
Journal:  Plant Physiol       Date:  2017-05-16       Impact factor: 8.340

8.  Novel miRNAs in the control of arsenite levels in rice.

Authors:  Qingpo Liu
Journal:  Funct Integr Genomics       Date:  2012-05-15       Impact factor: 3.410

9.  Construction and analysis of microRNA-transcription factor regulation network in Arabidopsis.

Authors:  Lie Tang; Zhao Zhang; Peizhen Gu; Ming Chen
Journal:  IET Syst Biol       Date:  2014-06       Impact factor: 1.615

10.  Genome-wide identification of reverse complementary microRNA genes in plants.

Authors:  Chaogang Shao; Xiaoxia Ma; Xiufang Xu; Huizhong Wang; Yijun Meng
Journal:  PLoS One       Date:  2012-10-23       Impact factor: 3.240

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