Literature DB >> 28597341

In Silico Prediction and Validation of Gfap as an miR-3099 Target in Mouse Brain.

Shahidee Zainal Abidin1,2,3, Jia-Wen Leong1,2,4, Marzieh Mahmoudi1,5, Norshariza Nordin2,3, Syahril Abdullah2,3, Pike-See Cheah1,2,4, King-Hwa Ling6,7,8.   

Abstract

MicroRNAs are small non-coding RNAs that play crucial roles in the regulation of gene expression and protein synthesis during brain development. MiR-3099 is highly expressed throughout embryogenesis, especially in the developing central nervous system. Moreover, miR-3099 is also expressed at a higher level in differentiating neurons in vitro, suggesting that it is a potential regulator during neuronal cell development. This study aimed to predict the target genes of miR-3099 via in-silico analysis using four independent prediction algorithms (miRDB, miRanda, TargetScan, and DIANA-micro-T-CDS) with emphasis on target genes related to brain development and function. Based on the analysis, a total of 3,174 miR-3099 target genes were predicted. Those predicted by at least three algorithms (324 genes) were subjected to DAVID bioinformatics analysis to understand their overall functional themes and representation. The analysis revealed that nearly 70% of the target genes were expressed in the nervous system and a significant proportion were associated with transcriptional regulation and protein ubiquitination mechanisms. Comparison of in situ hybridization (ISH) expression patterns of miR-3099 in both published and in-house-generated ISH sections with the ISH sections of target genes from the Allen Brain Atlas identified 7 target genes (Dnmt3a, Gabpa, Gfap, Itga4, Lxn, Smad7, and Tbx18) having expression patterns complementary to miR-3099 in the developing and adult mouse brain samples. Of these, we validated Gfap as a direct downstream target of miR-3099 using the luciferase reporter gene system. In conclusion, we report the successful prediction and validation of Gfap as an miR-3099 target gene using a combination of bioinformatics resources with enrichment of annotations based on functional ontologies and a spatio-temporal expression dataset.

Entities:  

Keywords:  Astrogliogenesis; Bioinformatics; In silico; Neurogenesis; Target gene

Mesh:

Substances:

Year:  2017        PMID: 28597341      PMCID: PMC5567562          DOI: 10.1007/s12264-017-0143-0

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.203


  32 in total

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Journal:  Nature       Date:  2004-09-16       Impact factor: 49.962

2.  Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5' UTR as in the 3' UTR.

Authors:  J Robin Lytle; Therese A Yario; Joan A Steitz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-29       Impact factor: 11.205

3.  Determinants of targeting by endogenous and exogenous microRNAs and siRNAs.

Authors:  Cydney B Nielsen; Noam Shomron; Rickard Sandberg; Eran Hornstein; Jacob Kitzman; Christopher B Burge
Journal:  RNA       Date:  2007-09-13       Impact factor: 4.942

4.  MicroRNA targeting specificity in mammals: determinants beyond seed pairing.

Authors:  Andrew Grimson; Kyle Kai-How Farh; Wendy K Johnston; Philip Garrett-Engele; Lee P Lim; David P Bartel
Journal:  Mol Cell       Date:  2007-07-06       Impact factor: 17.970

Review 5.  Dynamic signaling for neural stem cell fate determination.

Authors:  Shu Wen; Hong Li; Jia Liu
Journal:  Cell Adh Migr       Date:  2009-01-10       Impact factor: 3.405

Review 6.  Cell cycle regulation during neurogenesis in the embryonic and adult brain.

Authors:  Arquimedes Cheffer; Attila Tárnok; Henning Ulrich
Journal:  Stem Cell Rev Rep       Date:  2013-12       Impact factor: 5.739

7.  MiR-3099 is Overexpressed in Differentiating 46c Mouse Embryonic Stem Cells upon Neural Induction.

Authors:  Shahidee Zainal Abidin; Maryam Abbaspourbabaei; Carolindah Makena Ntimi; Wei-Hong Siew; Cheah Pike-See; Rozita Rosli; Norshariza Nordin; King-Hwa Ling
Journal:  Malays J Med Sci       Date:  2014-12

8.  WNT/beta-catenin pathway up-regulates Stat3 and converges on LIF to prevent differentiation of mouse embryonic stem cells.

Authors:  Jing Hao; Teng-Guo Li; Xiaoxia Qi; Dong-Feng Zhao; Guang-Quan Zhao
Journal:  Dev Biol       Date:  2005-12-05       Impact factor: 3.582

9.  Deep sequencing analysis of the developing mouse brain reveals a novel microRNA.

Authors:  King-Hwa Ling; Peter J Brautigan; Christopher N Hahn; Tasman Daish; John R Rayner; Pike-See Cheah; Joy M Raison; Sandra Piltz; Jeffrey R Mann; Deidre M Mattiske; Paul Q Thomas; David L Adelson; Hamish S Scott
Journal:  BMC Genomics       Date:  2011-04-05       Impact factor: 3.969

10.  Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAs.

Authors:  David M Garcia; Daehyun Baek; Chanseok Shin; George W Bell; Andrew Grimson; David P Bartel
Journal:  Nat Struct Mol Biol       Date:  2011-09-11       Impact factor: 15.369

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1.  Decreased miR-325-5p Contributes to Visceral Hypersensitivity Through Post-transcriptional Upregulation of CCL2 in Rat Dorsal Root Ganglia.

Authors:  Rui Wu; Ping-An Zhang; Xuelian Liu; Yuan Zhou; Meijie Xu; Xinghong Jiang; Jun Yan; Guang-Yin Xu
Journal:  Neurosci Bull       Date:  2019-04-12       Impact factor: 5.203

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Review 3.  Regulation of GFAP Expression.

Authors:  Michael Brenner; Albee Messing
Journal:  ASN Neuro       Date:  2021 Jan-Dec       Impact factor: 4.146

4.  Characterization of novel lnc RNAs in the spinal cord of rats with lumbar disc herniation.

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Journal:  J Pain Res       Date:  2019-01-30       Impact factor: 3.133

5.  Microcystin-LR-Triggered Neuronal Toxicity in Whitefish Does Not Involve MiR124-3p.

Authors:  Maciej Florczyk; Paweł Brzuzan; Alicja Łakomiak; Ewa Jakimiuk; Maciej Woźny
Journal:  Neurotox Res       Date:  2018-06-07       Impact factor: 3.911

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