Literature DB >> 27246439

Development of a Low-Cost Stem-Loop Real-Time Quantification PCR Technique for EBV miRNA Expression Analysis.

Massimiliano Bergallo1,2, Chiara Merlino3, Davide Montin4, Ilaria Galliano3,5, Stefano Gambarino5, Katia Mareschi6, Franca Fagioli6, Paola Montanari3,4, Silvana Martino3,6, Pier-Angelo Tovo3,5,4.   

Abstract

MicroRNAs (miRNAs) are short, single stranded, non-coding RNA molecules. They are produced by many different species and are key regulators of several physiological processes. miRNAs are also encoded by the genomes of multiple virus families, such as herpesvirus family. In particular, miRNAs from Epstein Barr virus were found at high concentrations in different associated pathologies, such as Burkitt's lymphoma, Hodgkin disease, and nasopharyngeal carcinoma. Thanks to their stability, these molecules could possibly serve as biomarkers for EBV-associated diseases. In this study, a stem-loop real-time PCR for miR-BART2-5p, miR-BART15, and miR-BART22 EBV miRNAs detection and quantification has been developed. Evaluation of these miRNAs in 31 serum samples (12 from patients affected by primary immunodeficiency, 9 from X-linked agammaglobulinemia and 10 from healthy subjects) has been carried out. The amplification performance showed a wide dynamic range (10(8)-10(2) copies/reaction) and sensibility equal to 10(2) copies/reaction for all the target tested. Serum samples analysis, on the other hand, showed a statistical significant higher level of miR-BART22 in primary immunodeficiency patients (P = 0.0001) compared to other groups and targets. The results confirmed the potential use of this assay as a tool for monitoring EBV-associated disease and for miRNAs expression profile analysis.

Entities:  

Keywords:  EBV; EBV-associated pathologies; MGB; Stem-loop real-time PCR; miRNA

Mesh:

Substances:

Year:  2016        PMID: 27246439     DOI: 10.1007/s12033-016-9951-0

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  40 in total

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Journal:  Methods       Date:  2001-12       Impact factor: 3.608

Review 2.  Cancer and neurodegenerative disorders: pathogenic convergence through microRNA regulation.

Authors:  Liqin Du; Alexander Pertsemlidis
Journal:  J Mol Cell Biol       Date:  2011-01-28       Impact factor: 6.216

3.  The microRNAs of Epstein-Barr Virus are expressed at dramatically differing levels among cell lines.

Authors:  Zachary L Pratt; Malika Kuzembayeva; Srikumar Sengupta; Bill Sugden
Journal:  Virology       Date:  2009-02-12       Impact factor: 3.616

4.  Primary immunodeficiency diseases: an update from the International Union of Immunological Societies Primary Immunodeficiency Diseases Classification Committee.

Authors:  Raif S Geha; Luigi D Notarangelo; Jean-Laurent Casanova; Helen Chapel; Mary Ellen Conley; Alain Fischer; Lennart Hammarström; Shigeaki Nonoyama; Hans D Ochs; Jennifer M Puck; Chaim Roifman; Reinhard Seger; Josiah Wedgwood
Journal:  J Allergy Clin Immunol       Date:  2007-10       Impact factor: 10.793

5.  Plasma viral microRNA profiles reveal potential biomarkers for chronic active Epstein-Barr virus infection.

Authors:  Yoshihiko Kawano; Seiko Iwata; Jun-ichi Kawada; Kensei Gotoh; Michio Suzuki; Yuka Torii; Seiji Kojima; Hiroshi Kimura; Yoshinori Ito
Journal:  J Infect Dis       Date:  2013-05-17       Impact factor: 5.226

Review 6.  Small silencing RNAs: an expanding universe.

Authors:  Megha Ghildiyal; Phillip D Zamore
Journal:  Nat Rev Genet       Date:  2009-02       Impact factor: 53.242

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.  Regulation of NF-kappaB inhibitor IkappaBalpha and viral replication by a KSHV microRNA.

Authors:  Xiufen Lei; Zhiqiang Bai; Fengchun Ye; Jianping Xie; Chan-Gil Kim; Yufei Huang; Shou-Jiang Gao
Journal:  Nat Cell Biol       Date:  2010-01-17       Impact factor: 28.824

9.  Epstein-Barr virus microRNAs are evolutionarily conserved and differentially expressed.

Authors:  Xuezhong Cai; Alexandra Schäfer; Shihua Lu; John P Bilello; Ronald C Desrosiers; Rachel Edwards; Nancy Raab-Traub; Bryan R Cullen
Journal:  PLoS Pathog       Date:  2006-03-24       Impact factor: 6.823

10.  Dynamic expression of viral and cellular microRNAs in infectious mononucleosis caused by primary Epstein-Barr virus infection in children.

Authors:  Liwei Gao; Junhong Ai; Zhengde Xie; Chen Zhou; Chunyan Liu; Hui Zhang; Kunling Shen
Journal:  Virol J       Date:  2015-12-03       Impact factor: 4.099

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  2 in total

1.  Next-generation sequencing of miRNAs in clinical samples of Epstein-Barr virus-associated B-cell lymphomas.

Authors:  Kouta Sakamoto; Tsuyoshi Sekizuka; Taeko Uehara; Tsunekazu Hishima; Sohtaro Mine; Hitomi Fukumoto; Yuko Sato; Hideki Hasegawa; Makoto Kuroda; Harutaka Katano
Journal:  Cancer Med       Date:  2017-02-09       Impact factor: 4.452

2.  Comparison of three PCR-based assays for SNP genotyping in plants.

Authors:  Chiara Broccanello; Claudia Chiodi; Andrew Funk; J Mitchell McGrath; Lee Panella; Piergiorgio Stevanato
Journal:  Plant Methods       Date:  2018-03-28       Impact factor: 4.993

  2 in total

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