Literature DB >> 23200132

MicroRNAs: mechanisms, functions and progress.

Tongbin Li1, William C S Cho.   

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Year:  2012        PMID: 23200132      PMCID: PMC5054209          DOI: 10.1016/j.gpb.2012.10.002

Source DB:  PubMed          Journal:  Genomics Proteomics Bioinformatics        ISSN: 1672-0229            Impact factor:   7.691


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In 1993 when Ambros and co-workers [1] discovered that a mysterious Caenorhabditis elegans gene, lin-4, does not encode a protein, but acts in the form of a small RNA and represses the expression of its target gene, lin-14, through base-pairing with its 3′ untranslated region (3′UTR), nobody would imagine that 20 years later, this category of small RNAs – now widely known as microRNAs (or miRNAs), has ∼2000 known members in the human genome (and counting), and that miRNA-mediated gene regulation is deeply involved in virtually all important biological processes in animals and plants. There is little doubt that recent advances in genomics and bioinformatics technologies and methodologies have made considerable contributions to our understanding of miRNAs [2]. We present this special issue as an attempt to bring readers an update on the current understanding of the biogenesis and targeting of miRNAs, and some of the most recent developments in the exciting field of miRNA research. Grave and Zeng’s review entitled “Biogenesis of mammalian microRNAs: a global view” [3] offers an up-to-date overview of the mechanisms by which a miRNA executes its function. Reyes-Herrera and Ficarra’s “One decade of development and evolution of microRNA target prediction algorithms” [4] and Ding et al.’s “Finding miRNA targets in plants: current status and perspectives” [5] provide a comprehensive survey of the current methods for the identification of miRNA targets in animals and plants, respectively. In addition, Li and Kowdley [6] bring us an up-to-date review about the involvement of miRNAs in human diseases. This special issue also includes two mechanistic studies of miRNAs. Kornfeld et al. in an effort to gain insight into the mechanism by which muscle atrophy occurs in extended immobility of mammals, investigated the difference in expression of a few skeletal muscle miRNAs between a non-hibernating state and torpor (a short hibernation) in hibernating bats Myotis lucifugus, during which the bats manage to avoid muscle atrophy [7]. In another interesting study, Biggar et al. investigated the roles miRNAs played in regulating stress responses with an intertidal snail species Littorina littorea, in response to constantly changing temperature and oxygen levels [8]. Two bioinformatics studies are also presented in the special issue. Bhattacharyya et al. described miRT, a database of validated transcription start sites of human miRNAs [9], and Stähler et al. reported the analysis of differential co-expression characteristics of miRNAs expressed in human whole-blood [10]. These two studies offer novel insights into the genomic organization and co-regulation properties of human miRNAs, respectively. Finally, a review of the less-known field of bacterial small RNAs and their targeting is also included [11]. Development of this field may provide evolutionary insights into how different domains of life are interconnected in terms of small RNA-based regulation. We envision that this special issue will inspire more creative research in the exciting field of miRNAs.
  10 in total

1.  The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.

Authors:  R C Lee; R L Feinbaum; V Ambros
Journal:  Cell       Date:  1993-12-03       Impact factor: 41.582

Review 2.  MicroRNAs in common human diseases.

Authors:  Yu Li; Kris V Kowdley
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-09-29       Impact factor: 7.691

Review 3.  Predicting sRNAs and their targets in bacteria.

Authors:  Wuju Li; Xiaomin Ying; Qixuan Lu; Linxi Chen
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-10-23       Impact factor: 7.691

Review 4.  Finding microRNA targets in plants: current status and perspectives.

Authors:  Jiandong Ding; Shuigeng Zhou; Jihong Guan
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-10-23       Impact factor: 7.691

5.  Whole miRNome-wide differential co-expression of microRNAs.

Authors:  Cord F Stäehler; Andreas Keller; Petra Leidinger; Christina Backes; Anoop Chandran; Jöerg Wischhusen; Benjamin Meder; Eckart Meese
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-08-23       Impact factor: 7.691

6.  Differential expression of mature microRNAs involved in muscle maintenance of hibernating little brown bats, Myotis lucifugus: a model of muscle atrophy resistance.

Authors:  Samantha F Kornfeld; Kyle K Biggar; Kenneth B Storey
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-09-29       Impact factor: 7.691

7.  miRT: a database of validated transcription start sites of human microRNAs.

Authors:  Malay Bhattacharyya; Manali Das; Sanghamitra Bandyopadhyay
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-09-29       Impact factor: 7.691

8.  MicroRNA regulation in extreme environments: differential expression of microRNAs in the intertidal snail Littorina littorea during extended periods of freezing and anoxia.

Authors:  Kyle K Biggar; Samantha F Kornfeld; Yulia Maistrovski; Kenneth B Storey
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-10-08       Impact factor: 7.691

Review 9.  Biogenesis of mammalian microRNAs: a global view.

Authors:  Paul Graves; Yan Zeng
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-09-29       Impact factor: 7.691

Review 10.  One decade of development and evolution of microRNA target prediction algorithms.

Authors:  Paula H Reyes-Herrera; Elisa Ficarra
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-10-23       Impact factor: 7.691

  10 in total
  10 in total

1.  MicroRNA-145-5p attenuates high glucose-induced apoptosis by targeting the Notch signaling pathway in podocytes.

Authors:  Bing Wei; Yi-Song Liu; Hai-Xia Guan
Journal:  Exp Ther Med       Date:  2020-01-07       Impact factor: 2.447

2.  Gene regulatory networks in the genomics era.

Authors:  Matthew Loose; Roger Patient; Xiangdong Fang; Hongxing Lei
Journal:  Genomics Proteomics Bioinformatics       Date:  2013-06-03       Impact factor: 7.691

3.  miR‑144‑3p inhibits tumor cell growth and invasion in oral squamous cell carcinoma through the downregulation of the oncogenic gene, EZH2.

Authors:  Longlong He; Lifan Liao; Liangzhi Du
Journal:  Int J Mol Med       Date:  2020-06-11       Impact factor: 4.101

4.  MicroRNA‑15a‑5p‑targeting oncogene YAP1 inhibits cell viability and induces cell apoptosis in cervical cancer cells.

Authors:  Xu Chen; Ruiqin Cao; Haifang Liu; Tuanying Zhang; Xinrong Yuan; Shuxiang Xu
Journal:  Int J Mol Med       Date:  2020-08-12       Impact factor: 4.101

5.  MicroRNA‑26a protects vascular smooth muscle cells against H2O2‑induced injury through activation of the PTEN/AKT/mTOR pathway.

Authors:  Junlu Peng; Xinqi He; Lei Zhang; Peng Liu
Journal:  Int J Mol Med       Date:  2018-06-27       Impact factor: 4.101

6.  MicroRNA-140-5p ameliorates the high glucose-induced apoptosis and inflammation through suppressing TLR4/NF-κB signaling pathway in human renal tubular epithelial cells.

Authors:  Jie Su; Jian Ren; Haiyan Chen; Bo Liu
Journal:  Biosci Rep       Date:  2020-03-27       Impact factor: 3.840

7.  MicroRNA‑199a‑3p inhibits ovarian cancer cell viability by targeting the oncogene YAP1.

Authors:  Yanfang He; Xiangyang Yu; Yajuan Tang; Yanjuan Guo; Jinling Yuan; Jinghe Bai; Tao Yao; Xiongzhi Wu
Journal:  Mol Med Rep       Date:  2021-02-04       Impact factor: 2.952

Review 8.  MicroRNAs: Novel Players in Aortic Aneurysm.

Authors:  Xian-ming Fu; Yang-zhao Zhou; Zhao Cheng; Xiao-bo Liao; Xin-min Zhou
Journal:  Biomed Res Int       Date:  2015-06-28       Impact factor: 3.411

9.  Astragalus polysaccharides inhibit ovarian cancer cell growth via microRNA-27a/FBXW7 signaling pathway.

Authors:  Yanling Guo; Zhenxing Zhang; Zhaoxia Wang; Guoqi Liu; Yingying Liu; Huijie Wang
Journal:  Biosci Rep       Date:  2020-03-27       Impact factor: 3.840

10.  MicroRNA‑199a‑3p suppresses high glucose‑induced apoptosis and inflammation by regulating the IKKβ/NF‑κB signaling pathway in renal tubular epithelial cells.

Authors:  Ruimin Zhang; Linfang Qin; Jun Shi
Journal:  Int J Mol Med       Date:  2020-10-12       Impact factor: 4.101

  10 in total

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