Literature DB >> 23194271

Quantitative proteomic strategies for the identification of microRNA targets.

Chongyang Li1, Qian Xiong, Jia Zhang, Feng Ge, Li-Jun Bi.   

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs, approximately 22 nucleotides in length, found in diverse organisms. They have emerged in recent years as key regulators of a broad spectrum of cellular functions. miRNAs regulate biological processes by inducing translational inhibition and degradation of their target mRNAs through base pairing to partially or fully complementary sites. In the field of miRNA research, the identification of the targets of individual miRNAs is of utmost importance. Our understanding of the molecular mechanisms by which individual miRNAs modulate cellular functions will remain incomplete until a full set of miRNA targets is identified and validated. Since a miRNA may regulate many of its targets at the translational level without affecting mRNA abundance, proteomic methods are best suited for revealing the full spectrum of miRNA targets. Quantitative proteomics is emerging as a powerful toolbox for identifying miRNA targets and for quantifying the contribution of translational repression by miRNAs. In this review, the authors summarize the quantitative proteomic approaches that have been employed for identification of miRNA targets and discuss current challenges as well as possible ways of overcoming them.

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Year:  2012        PMID: 23194271     DOI: 10.1586/epr.12.49

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  12 in total

Review 1.  Proteomic approaches and identification of novel therapeutic targets for alcoholism.

Authors:  Giorgio Gorini; R Adron Harris; R Dayne Mayfield
Journal:  Neuropsychopharmacology       Date:  2013-07-31       Impact factor: 7.853

2.  MiR-503 inhibited cell proliferation of human breast cancer cells by suppressing CCND1 expression.

Authors:  Jianting Long; Caiwen Ou; Haoming Xia; Yifan Zhu; Dayue Liu
Journal:  Tumour Biol       Date:  2015-06-06

3.  Cortical Tubers: Windows into Dysregulation of Epilepsy Risk and Synaptic Signaling Genes by MicroRNAs.

Authors:  Alan A Dombkowski; Carlos E Batista; Daniela Cukovic; Nicholas J Carruthers; Ramya Ranganathan; Upasana Shukla; Paul M Stemmer; Harry T Chugani; Diane C Chugani
Journal:  Cereb Cortex       Date:  2014-12-01       Impact factor: 5.357

4.  De novo transcriptome assembly, gene annotation, marker development, and miRNA potential target genes validation under abiotic stresses in Oenanthe javanica.

Authors:  Qian Jiang; Feng Wang; Hua-Wei Tan; Meng-Yao Li; Zhi-Sheng Xu; Guo-Fei Tan; Ai-Sheng Xiong
Journal:  Mol Genet Genomics       Date:  2014-11-22       Impact factor: 3.291

5.  Post-transcriptional regulation of human breast cancer cell proteome by unliganded estrogen receptor β via microRNAs.

Authors:  Giovanni Nassa; Roberta Tarallo; Giorgio Giurato; Maria Rosaria De Filippo; Maria Ravo; Francesca Rizzo; Claudia Stellato; Concetta Ambrosino; Marc Baumann; Niina Lietzèn; Tuula A Nyman; Alessandro Weisz
Journal:  Mol Cell Proteomics       Date:  2014-02-13       Impact factor: 5.911

Review 6.  microRNAs as neuroregulators, biomarkers and therapeutic agents in neurodegenerative diseases.

Authors:  Indranil Basak; Ketan S Patil; Guido Alves; Jan Petter Larsen; Simon Geir Møller
Journal:  Cell Mol Life Sci       Date:  2015-11-25       Impact factor: 9.261

7.  Integration of miRNA and protein profiling reveals coordinated neuroadaptations in the alcohol-dependent mouse brain.

Authors:  Giorgio Gorini; Yury O Nunez; R Dayne Mayfield
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

8.  MicroRNA-7/NF-κB signaling regulatory feedback circuit regulates gastric carcinogenesis.

Authors:  Xiao-Di Zhao; Yuan-Yuan Lu; Hao Guo; Hua-Hong Xie; Li-Jie He; Gao-Fei Shen; Jin-Feng Zhou; Ting Li; Si-Jun Hu; Lin Zhou; Ya-Nan Han; Shu-Li Liang; Xin Wang; Kai-Chun Wu; Yong-Quan Shi; Yong-Zhan Nie; Dai-Ming Fan
Journal:  J Cell Biol       Date:  2015-08-10       Impact factor: 10.539

9.  Integrated microRNA, mRNA, and protein expression profiling reveals microRNA regulatory networks in rat kidney treated with a carcinogenic dose of aristolochic acid.

Authors:  Zhiguang Li; Taichun Qin; Kejian Wang; Michael Hackenberg; Jian Yan; Yuan Gao; Li-Rong Yu; Leming Shi; Zhenqiang Su; Tao Chen
Journal:  BMC Genomics       Date:  2015-05-08       Impact factor: 3.969

10.  iTRAQ-based proteomics reveals novel members involved in pathogen challenge in sea cucumber Apostichopus japonicus.

Authors:  Pengjuan Zhang; Chenghua Li; Peng Zhang; Chunhua Jin; Daodong Pan; Yongbo Bao
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

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