Literature DB >> 29074454

MicroRNA.

Thomas X Lu1, Marc E Rothenberg2.   

Abstract

MicroRNAs (miRNAs) are small endogenous RNAs that regulate gene-expression posttranscriptionally. MiRNA research in allergy is expanding because miRNAs are crucial regulators of gene expression and promising candidates for biomarker development. MiRNA mimics and miRNA inhibitors currently in preclinical development have shown promise as novel therapeutic agents. Multiple technological platforms have been developed for miRNA isolation, miRNA quantitation, miRNA profiling, miRNA target detection, and modulating miRNA levels in vitro and in vivo. Here we will review the major technological platforms with consideration given for the advantages and disadvantages of each platform.
Copyright © 2017 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allergy; CRISPR; CRISPR/Cas9; antagomiRs; antimiRs; gene silencing; in situ hybridization; miRNA; miRNA expression; miRNA inhibitors; miRNA isolation; miRNA mimics; miRNA profiling; miRNA quantitation; miRNA targets; microRNA; microRNA methods; microarray; qPCR; stem-loop

Mesh:

Substances:

Year:  2017        PMID: 29074454      PMCID: PMC5889965          DOI: 10.1016/j.jaci.2017.08.034

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  43 in total

Review 1.  Chemical modification and design of anti-miRNA oligonucleotides.

Authors:  K A Lennox; M A Behlke
Journal:  Gene Ther       Date:  2011-07-14       Impact factor: 5.250

2.  Expanding the microRNA targeting code: functional sites with centered pairing.

Authors:  Chanseok Shin; Jin-Wu Nam; Kyle Kai-How Farh; H Rosaria Chiang; Alena Shkumatava; David P Bartel
Journal:  Mol Cell       Date:  2010-06-25       Impact factor: 17.970

Review 3.  MicroRNAs in Allergic Disease.

Authors:  Eishika Dissanayake; Yuzaburo Inoue
Journal:  Curr Allergy Asthma Rep       Date:  2016-09       Impact factor: 4.806

4.  A resource for the conditional ablation of microRNAs in the mouse.

Authors:  Chong Yon Park; Lukas T Jeker; Karen Carver-Moore; Alyssia Oh; Huey Jiin Liu; Rachel Cameron; Hunter Richards; Zhongmei Li; David Adler; Yuko Yoshinaga; Maria Martinez; Michael Nefadov; Abul K Abbas; Art Weiss; Lewis L Lanier; Pieter J de Jong; Jeffrey A Bluestone; Deepak Srivastava; Michael T McManus
Journal:  Cell Rep       Date:  2012-04-19       Impact factor: 9.423

5.  Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites.

Authors:  Doron Betel; Anjali Koppal; Phaedra Agius; Chris Sander; Christina Leslie
Journal:  Genome Biol       Date:  2010-08-27       Impact factor: 13.583

Review 6.  Practical Aspects of microRNA Target Prediction.

Authors:  T M Witkos; E Koscianska; W J Krzyzosiak
Journal:  Curr Mol Med       Date:  2011-03       Impact factor: 2.222

7.  Real-time quantification of microRNAs by stem-loop RT-PCR.

Authors:  Caifu Chen; Dana A Ridzon; Adam J Broomer; Zhaohui Zhou; Danny H Lee; Julie T Nguyen; Maura Barbisin; Nan Lan Xu; Vikram R Mahuvakar; Mark R Andersen; Kai Qin Lao; Kenneth J Livak; Karl J Guegler
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

8.  Validation of a multiplex reverse transcription and pre-amplification method using TaqMan(®) MicroRNA assays.

Authors:  Joane Le Carré; Séverine Lamon; Bertrand Léger
Journal:  Front Genet       Date:  2014-11-26       Impact factor: 4.599

9.  On measuring miRNAs after transient transfection of mimics or antisense inhibitors.

Authors:  Daniel W Thomson; Cameron P Bracken; Jan M Szubert; Gregory J Goodall
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

10.  The microRNA.org resource: targets and expression.

Authors:  Doron Betel; Manda Wilson; Aaron Gabow; Debora S Marks; Chris Sander
Journal:  Nucleic Acids Res       Date:  2007-12-23       Impact factor: 16.971

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  509 in total

1.  MicroRNA-383-5p predicts favorable prognosis and inhibits the progression of diffuse large B-cell lymphoma.

Authors:  Li-Yan Chen; Bi-Qing Han; Xiao-Min Zhang; Xing-Bao Yu; Dan-Dan Yao; Li-Qian Yu
Journal:  Oncol Lett       Date:  2021-05-06       Impact factor: 2.967

Review 2.  Peptides encoded by noncoding genes: challenges and perspectives.

Authors:  Shuo Wang; Chuanbin Mao; Shanrong Liu
Journal:  Signal Transduct Target Ther       Date:  2019-12-13

3.  Circular RNA circ_HN1 facilitates gastric cancer progression through modulation of the miR-302b-3p/ROCK2 axis.

Authors:  Ding Wang; Xiaohui Jiang; Yi Liu; Guangxin Cao; Xueliang Zhang; Yuting Kuang
Journal:  Mol Cell Biochem       Date:  2020-09-19       Impact factor: 3.396

Review 4.  Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis.

Authors:  Carol Chase Huizar; Itay Raphael; Thomas G Forsthuber
Journal:  Cell Immunol       Date:  2020-09-20       Impact factor: 4.868

5.  Long non-coding RNA small nucleolar RNA host gene 1 knockdown suppresses the proliferation, migration and invasion of osteosarcoma cells by regulating microRNA-424-5p/FGF2 in vitro.

Authors:  Zhuokai Li; Xiaohe Wang; Shuofu Liang
Journal:  Exp Ther Med       Date:  2021-02-05       Impact factor: 2.447

6.  ERO1α mediates endoplasmic reticulum stress-induced apoptosis via microRNA-101/EZH2 axis in colon cancer RKO and HT-29 cells.

Authors:  Guoqin Wang; Jiangqiong Han; Gaowei Wang; Xuesong Wu; Youguang Huang; Min Wu; Yunlan Chen
Journal:  Hum Cell       Date:  2021-02-09       Impact factor: 4.174

Review 7.  Molecular targeted treatment and drug delivery system for gastric cancer.

Authors:  Lanxin Jiang; Xiaomin Gong; Wangdi Liao; Nonghua Lv; Runwei Yan
Journal:  J Cancer Res Clin Oncol       Date:  2021-02-07       Impact factor: 4.553

8.  LncRNA HCP5 acts as a miR-128-3p sponge to promote the progression of multiple myeloma through activating Wnt/β-catenin/cyclin D1 signaling via PLAGL2.

Authors:  Qinhua Liu; Ruonan Ran; Mingyue Song; Xiaodan Li; Zhengsheng Wu; Guanrong Dai; Ruixiang Xia
Journal:  Cell Biol Toxicol       Date:  2021-07-31       Impact factor: 6.691

9.  ZNRD1-AS1 knockdown alleviates malignant phenotype of retinoblastoma through miR-128-3p/BMI1 axis.

Authors:  Guanghua Yang; Chen Zeng; Yang Liu; Dongliang Li; Juanjuan Cui
Journal:  Am J Transl Res       Date:  2021-06-15       Impact factor: 4.060

Review 10.  Diagnostic and prognostic potential of circulating miRNAs for intracranial aneurysms.

Authors:  Ilgiz Gareev; Ozal Beylerli; Guang Yang; Adel Izmailov; Huaizhang Shi; Jinxian Sun; Boxian Zhao; Binbing Liu; Shiguang Zhao
Journal:  Neurosurg Rev       Date:  2020-10-23       Impact factor: 3.042

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