Literature DB >> 23307300

Development of a robust, low cost stem-loop real-time quantification PCR technique for miRNA expression analysis.

Samira Mohammadi-Yeganeh1, Mahdi Paryan, Siamak Mirab Samiee, Masoud Soleimani, Ehsan Arefian, Keyhan Azadmanesh, Ehsan Mostafavi, Reza Mahdian, Morteza Karimipoor.   

Abstract

Development of a rapid and accurate quantification method for the detection of microRNAs (miRNAs) has been desired, in particular, when they are differently expressed in normal and pathological conditions. However, various methods for the quantification of small non-coding RNAs as well as miRNAs have been described. These methods mainly include hybridization-based approaches such as primer extension, northern blotting, microarray profiling, and reverse transcription (RT) PCR. Here, we developed a simple and rapid method based on stem-loop primer-based real-time PCR assay for sensitive and accurate detection of mature miRNAs. Initially, a miRNA-specific stem-loop RT primer is used for RT, which is followed by TaqMan real-time PCR assay using specific forward primer in combination with universal reverse primer and TaqMan probe. The assay has shown high sensitivity (≤50 copies/reaction) for miRNA detection in two breast cancer cell lines, MCF-7 and MDA-MB-231. This assay might be implicated as a rapid and cost effective method for the detection of small non-coding RNAs.

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Year:  2013        PMID: 23307300     DOI: 10.1007/s11033-012-2442-x

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  28 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Stem-loop RT-qPCR for microRNA expression profiling.

Authors:  James Hurley; Doug Roberts; Andrew Bond; David Keys; Caifu Chen
Journal:  Methods Mol Biol       Date:  2012

3.  Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

Authors:  Benjamin P Lewis; Christopher B Burge; David P Bartel
Journal:  Cell       Date:  2005-01-14       Impact factor: 41.582

4.  Bio-informatic trends for the determination of miRNA-target interactions in mammals.

Authors:  Jonathon Doran; William M Strauss
Journal:  DNA Cell Biol       Date:  2007-05       Impact factor: 3.311

Review 5.  Computational methods for analysis of cellular functions and pathways collectively targeted by differentially expressed microRNA.

Authors:  Yuriy Gusev
Journal:  Methods       Date:  2008-01       Impact factor: 3.608

6.  Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers.

Authors:  George Adrian Calin; Cinzia Sevignani; Calin Dan Dumitru; Terry Hyslop; Evan Noch; Sai Yendamuri; Masayoshi Shimizu; Sashi Rattan; Florencia Bullrich; Massimo Negrini; Carlo M Croce
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-18       Impact factor: 11.205

7.  microRNA-associated progression pathways and potential therapeutic targets identified by integrated mRNA and microRNA expression profiling in breast cancer.

Authors:  Francesca M Buffa; Carme Camps; Laura Winchester; Cameron E Snell; Harriet E Gee; Helen Sheldon; Marian Taylor; Adrian L Harris; Jiannis Ragoussis
Journal:  Cancer Res       Date:  2011-07-07       Impact factor: 12.701

8.  microRNA target predictions across seven Drosophila species and comparison to mammalian targets.

Authors:  Dominic Grün; Yi-Lu Wang; David Langenberger; Kristin C Gunsalus; Nikolaus Rajewsky
Journal:  PLoS Comput Biol       Date:  2005-06-24       Impact factor: 4.475

9.  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

10.  Accurate microRNA target prediction correlates with protein repression levels.

Authors:  Manolis Maragkakis; Panagiotis Alexiou; Giorgio L Papadopoulos; Martin Reczko; Theodore Dalamagas; George Giannopoulos; George Goumas; Evangelos Koukis; Kornilios Kourtis; Victor A Simossis; Praveen Sethupathy; Thanasis Vergoulis; Nectarios Koziris; Timos Sellis; Panagiotis Tsanakas; Artemis G Hatzigeorgiou
Journal:  BMC Bioinformatics       Date:  2009-09-18       Impact factor: 3.169

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  24 in total

1.  Bioinformatically-predicted varicella zoster virus small non-coding RNAs are expressed in lytically-infected epithelial cells and neurons.

Authors:  Linoy Golani-Zaidie; Tatiana Borodianskiy-Shteinberg; Punam Bisht; Biswajit Das; Paul R Kinchington; Ronald S Goldstein
Journal:  Virus Res       Date:  2019-10-12       Impact factor: 3.303

2.  MAPK and JAK/STAT pathways targeted by miR-23a and miR-23b in prostate cancer: computational and in vitro approaches.

Authors:  Seyed Hamid Aghaee-Bakhtiari; Ehsan Arefian; Mahmood Naderi; Farshid Noorbakhsh; Vahideh Nodouzi; Mojgan Asgari; Pezhman Fard-Esfahani; Reza Mahdian; Masoud Soleimani
Journal:  Tumour Biol       Date:  2015-01-22

3.  MicroRNA-340 inhibits the migration, invasion, and metastasis of breast cancer cells by targeting Wnt pathway.

Authors:  Samira Mohammadi-Yeganeh; Mahdi Paryan; Ehsan Arefian; Mohammad Vasei; Hossein Ghanbarian; Reza Mahdian; Morteza Karimipoor; Masoud Soleimani
Journal:  Tumour Biol       Date:  2016-01-12

4.  Atypical cell populations associated with acquired resistance to cytostatics and cancer stem cell features: the role of mitochondria in nuclear encapsulation.

Authors:  David Díaz-Carballo; Sebastian Gustmann; Holger Jastrow; Ali Haydar Acikelli; Philip Dammann; Jacqueline Klein; Ulrike Dembinski; Walter Bardenheuer; Sascha Malak; Marcos J Araúzo-Bravo; Beate Schultheis; Constanze Aldinger; Dirk Strumberg
Journal:  DNA Cell Biol       Date:  2014-08-15       Impact factor: 3.311

5.  Is miR-144 an effective inhibitor of PTEN mRNA: a controversy in breast cancer.

Authors:  Vahid Kia; Maryam Sharif Beigli; Vahedeh Hosseini; Ameneh Koochaki; Mahdi Paryan; Samira Mohammadi-Yeganeh
Journal:  In Vitro Cell Dev Biol Anim       Date:  2018-08-21       Impact factor: 2.416

6.  Effects of miR-21 downregulation and silibinin treatment in breast cancer cell lines.

Authors:  Zohreh Jahanafrooz; Nasrin Motamed; Behnaz Bakhshandeh
Journal:  Cytotechnology       Date:  2017-03-20       Impact factor: 2.058

7.  miR-141 as potential suppressor of β-catenin in breast cancer.

Authors:  Nairi Abedi; Samira Mohammadi-Yeganeh; Ameneh Koochaki; Fariba Karami; Mahdi Paryan
Journal:  Tumour Biol       Date:  2015-07-13

8.  The role of miRNA-377 as a tumor suppressor in lung cancer by negative regulation of genes belonging to ErbB signaling pathway.

Authors:  Saba Hashemi; Naghmeh Yari; Fatemeh Rahimi Jamnani; Reza Mahdian; Morteza Karimi; Sirous Zeinali; Mohammad Hesam Rafiee; Masoumeh Azizi
Journal:  Mol Biol Rep       Date:  2021-10-19       Impact factor: 2.316

9.  Varicella-Zoster Virus Expresses Multiple Small Noncoding RNAs.

Authors:  Amos Markus; Linoy Golani; Nishant Kumar Ojha; Tatiana Borodiansky-Shteinberg; Paul R Kinchington; Ronald S Goldstein
Journal:  J Virol       Date:  2017-11-30       Impact factor: 5.103

10.  Locked-nucleotide antagonists to varicella zoster virus small non-coding RNA block viral growth and have potential as an anti-viral therapy.

Authors:  Biswajit Das; Punam Bisht; Paul R Kinchington; Ronald S Goldstein
Journal:  Antiviral Res       Date:  2021-07-22       Impact factor: 10.103

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