scholarly journals qPCR-based methods for expression analysis of miRNAs

BioTechniques ◽  
2019 ◽  
Vol 67 (4) ◽  
pp. 192-199 ◽  
Author(s):  
Diego A Forero ◽  
Yeimy González-Giraldo ◽  
Luis J Castro-Vega ◽  
George E Barreto
Keyword(s):  
Reverse Transcriptase ◽  
Expression Analysis ◽  
Future Development ◽  
Mirna Expression ◽  
Mature Mirnas ◽  
Stem Loop ◽  
Comprehensive Review ◽  
Reverse Transcriptase Pcr ◽  
Advantages And Disadvantages ◽  
Key Points

Several approaches for miRNA expression analysis have been developed in recent years. In this article, we provide an updated and comprehensive review of available qPCR-based methods for miRNA expression analysis and discuss their advantages and disadvantages. Existing techniques involve the use of stem–loop reverse transcriptase–PCR, polyadenylation of RNAs, ligation of adapters or RT with complex primers, using universal or miRNA-specific qPCR primers and/or probes. Many of these methods are oriented towards the expression analysis of mature miRNAs and few are designed for the study of pre-miRNAs and pri-miRNAs. We also discuss findings from articles that compare results from existing methods. Finally, we suggest key points for the improvement of available techniques and for the future development of additional methods.

scholarly journals miRNA-mRNA integrative analysis in primary myelofibrosis CD34+ cells: role of miR-155/JARID2 axis in abnormal megakaryopoiesis

Blood ◽  
2014 ◽  
Vol 124 (13) ◽  
pp. e21-e32 ◽  
Author(s):  
Ruggiero Norfo ◽  
Roberta Zini ◽  
Valentina Pennucci ◽  
Elisa Bianchi ◽  
Simona Salati ◽  
...  
Keyword(s):  
Expression Analysis ◽  
Mirna Expression ◽  
Therapeutic Targets ◽  
Primary Myelofibrosis ◽  
Integrative Analysis ◽  
Cd34 Cells ◽  
Key Points ◽  
Differential Gene ◽  
New Biomarkers

Key Points Differential gene and miRNA expression analysis in PMF granulocytes identifies new biomarkers and putative therapeutic targets. Activation of the miR-155/JARID2 axis in PMF CD34+ cells results in overproduction of MK precursors.

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

2016 ◽  
Vol 58 (8-9) ◽  
pp. 540-550 ◽  
Author(s):  
Massimiliano Bergallo ◽  
Chiara Merlino ◽  
Davide Montin ◽  
Ilaria Galliano ◽  
Stefano Gambarino ◽  
...  
Keyword(s):  
Real Time ◽  
Expression Analysis ◽  
Mirna Expression ◽  
Low Cost ◽  
Stem Loop

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

2013 ◽  
Vol 40 (5) ◽  
pp. 3665-3674 ◽  
Author(s):  
Samira Mohammadi-Yeganeh ◽  
Mahdi Paryan ◽  
Siamak Mirab Samiee ◽  
Masoud Soleimani ◽  
Ehsan Arefian ◽  
...  
Keyword(s):  
Real Time ◽  
Expression Analysis ◽  
Mirna Expression ◽  
Low Cost ◽  
Stem Loop

A Review of Drug Side Effect Identification Methods

2020 ◽  
Vol 26 (26) ◽  
pp. 3096-3104 ◽  
Author(s):  
Shuai Deng ◽  
Yige Sun ◽  
Tianyi Zhao ◽  
Yang Hu ◽  
Tianyi Zang
Keyword(s):  
Side Effects ◽  
Future Research ◽  
Drug Side Effects ◽  
Important Indicator ◽  
Advantages And Disadvantages ◽  
Key Points ◽  
Network Methods ◽  
Future Research Directions ◽  
The One ◽  
Approved Drugs

Drug side effects have become an important indicator for evaluating the safety of drugs. There are two main factors in the frequent occurrence of drug safety problems; on the one hand, the clinical understanding of drug side effects is insufficient, leading to frequent adverse drug reactions, while on the other hand, due to the long-term period and complexity of clinical trials, side effects of approved drugs on the market cannot be reported in a timely manner. Therefore, many researchers have focused on developing methods to identify drug side effects. In this review, we summarize the methods of identifying drug side effects and common databases in this field. We classified methods of identifying side effects into four categories: biological experimental, machine learning, text mining and network methods. We point out the key points of each kind of method. In addition, we also explain the advantages and disadvantages of each method. Finally, we propose future research directions.

scholarly journals Optimizing a Massive Parallel Sequencing Workflow for Quantitative miRNA Expression Analysis

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e31630 ◽  
Author(s):  
Francesca Cordero ◽  
Marco Beccuti ◽  
Maddalena Arigoni ◽  
Susanna Donatelli ◽  
Raffaele A. Calogero
Keyword(s):  
Expression Analysis ◽  
Mirna Expression ◽  
Massive Parallel Sequencing ◽  
Parallel Sequencing
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