Literature DB >> 19374024

The quantification of tomato microRNAs response to viral infection by stem-loop real-time RT-PCR.

Junli Feng1, Kai Wang, Xin Liu, Shaoning Chen, Jishuang Chen.   

Abstract

MicroRNAs (miRNAs) are RNA molecules consisting of 20-24 nucleotides that play important roles in regulating plant's gene expression for growth and development, cell viability and stress responses. Viral infection often has a noticeable influence on host gene expression, which may result in a range of developmental abnormalities. To investigate the molecular mechanisms underlying viral infection, miRNA pathway and host gene expression, we report herein the application of the novel miRNAs quantification method in tomato, using a stem-loop reverse transcription followed by SYBR Green PCR assay. For the seven tested miRNAs of Solanum lycopersicum, which are related to the regulation of plant development, hormone response, and their own biogenesis, this quantification method showed high sensitivity, specificity, and wide dynamic range. Precise quantification could be achieved with as little as 0.01 ng of total RNAs for most cases. Additionally, their target mRNAs could be quantified from the same RNA sample simultaneously, by the conventional real-time RT-PCR assay. In comparison with mock inoculation, accumulation levels of the tested miRNAs and target mRNAs were found obviously altered in tomato seedlings, indicating that the miRNA pathway was interrupted by Cucumber mosaic virus and Tomato aspermy virus infection.

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Year:  2009        PMID: 19374024     DOI: 10.1016/j.gene.2009.01.017

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  48 in total

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Authors:  Carlos I Michel; Christopher L Holley; Benjamin S Scruggs; Rohini Sidhu; Rita T Brookheart; Laura L Listenberger; Mark A Behlke; Daniel S Ory; Jean E Schaffer
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5.  Construction and detection of expression vectors of microRNA-9a in BmN cells.

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6.  MicroRNA-101-3p suppresses proliferation and migration in hepatocellular carcinoma by targeting the HGF/c-Met pathway.

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Journal:  Invest New Drugs       Date:  2019-03-30       Impact factor: 3.850

7.  Identification, isolation and expression analysis of auxin response factor (ARF) genes in Solanum lycopersicum.

Authors:  Jian Wu; Feiyan Wang; Lin Cheng; Fuling Kong; Zhen Peng; Songyu Liu; Xiaolin Yu; Gang Lu
Journal:  Plant Cell Rep       Date:  2011-07-07       Impact factor: 4.570

8.  Rpl13a small nucleolar RNAs regulate systemic glucose metabolism.

Authors:  Jiyeon Lee; Alexis N Harris; Christopher L Holley; Jana Mahadevan; Kelly D Pyles; Zeno Lavagnino; David E Scherrer; Hideji Fujiwara; Rohini Sidhu; Jessie Zhang; Stanley Ching-Cheng Huang; David W Piston; Maria S Remedi; Fumihiko Urano; Daniel S Ory; Jean E Schaffer
Journal:  J Clin Invest       Date:  2016-11-07       Impact factor: 14.808

9.  Discovery and comparative profiling of microRNAs in a sweet orange red-flesh mutant and its wild type.

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Journal:  BMC Genomics       Date:  2010-04-17       Impact factor: 3.969

10.  Prediction and validation of conservative microRNAs of Solanum tuberosum L.

Authors:  Wenzheng Yang; Xin Liu; Jianguang Zhang; Junli Feng; Chao Li; Jishuang Chen
Journal:  Mol Biol Rep       Date:  2009-10-31       Impact factor: 2.316

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