Two-tailed RT-qPCR: a novel method for highly accurate miRNA quantification

被引:168
作者
Androvic, Peter [1 ,2 ]
Valihrach, Lukas [1 ]
Elling, Julie [3 ]
Sjoback, Robert [3 ]
Kubista, Mikael [1 ,3 ]
机构
[1] Inst Biotechnol CAS, Lab Gene Express, Biocev, Vestec 25250, Czech Republic
[2] Palacky Univ, Lab Growth Regulators, Fac Sci, Olomouc 78371, Czech Republic
[3] TATAA Bioctr AB, S-41103 Gothenburg, Sweden
关键词
ROLLING CIRCLE AMPLIFICATION; MICRORNA BIOGENESIS PATHWAYS; REAL-TIME PCR; NEURODEGENERATIVE DISEASES; NUCLEIC-ACID; SINGLE-CELL; SMALL RNAS; EXPRESSION; CANCER; ISOMIRS;
D O I
10.1093/nar/gkx588
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
MicroRNAs are a class of small non-coding RNAs that serve as important regulators of gene expression at the posttranscriptional level. They are stable in body fluids and pose great potential to serve as biomarkers. Here, we present a highly specific, sensitive and cost-effective system to quantify miRNA expression based on two-step RT-qPCR with SYBR-green detection chemistry called Two-tailed RT-qPCR. It takes advantage of novel, target-specific primers for reverse transcription composed of two hemiprobes complementary to two different parts of the targeted miRNA, connected by a hairpin structure. The introduction of a second probe ensures high sensitivity and enables discrimination of highly homologous miRNAs irrespectively of the position of the mismatched nucleotide. Two-tailed RT-qPCR has a dynamic range of seven logs and a sensitivity sufficient to detect down to ten target miRNA molecules. It is capable to capture the full isomiR repertoire, leading to accurate representation of the complete miRNA content in a sample. The reverse transcription step can be multiplexed and the miRNA profiles measured with Two-tailed RT-qPCR show excellent correlation with the industry standard TaqMan miRNA assays (r(2) = 0.985). Moreover, Two-tailed RT-qPCR allows for rapid testing with a total analysis time of less than 2.5 hours.
引用
收藏
页数:13
相关论文
共 69 条
[1]
Comprehensive analysis of small RNA-seq data reveals that combination of miRNA with its isomiRs increase the accuracy of target prediction in Arabidopsis thaliana [J].
Ahmed, Firoz ;
Senthil-Kumar, Muthappa ;
Lee, Seonghee ;
Dai, Xinbin ;
Mysore, Kirankumar S. ;
Zhao, Patrick Xuechun .
RNA BIOLOGY, 2014, 11 (11) :1414-1429
[2]
Aldridge Sarah, 2012, Methods Mol Biol, V822, P19, DOI 10.1007/978-1-61779-427-8_2
[3]
Specific and sensitive quantitative RT-PCR of miRNAs with DNA primers [J].
Balcells, Ingrid ;
Cirera, Susanna ;
Busk, Peter K. .
BMC BIOTECHNOLOGY, 2011, 11
[4]
Beta Cell 5′-Shifted isomiRs Are Candidate Regulatory Hubs in Type 2 Diabetes [J].
Baran-Gale, Jeanette ;
Fannin, Emily E. ;
Kurtz, C. Lisa ;
Sethupathy, Praveen .
PLOS ONE, 2013, 8 (09)
[5]
MicroRNAs: Target Recognition and Regulatory Functions [J].
Bartel, David P. .
CELL, 2009, 136 (02) :215-233
[6]
microRNAs as neuroregulators, biomarkers and therapeutic agents in neurodegenerative diseases [J].
Basak, Indranil ;
Patil, Ketan S. ;
Alves, Guido ;
Larsen, Jan Petter ;
Moller, Simon Geir .
CELLULAR AND MOLECULAR LIFE SCIENCES, 2016, 73 (04) :811-827
[7]
Identification of cytokine-induced modulation of microRNA expression and secretion as measured by a novel microRNA specific qPCR assay [J].
Benes, Vladimir ;
Collier, Paul ;
Kordes, Claus ;
Stolte, Jens ;
Rausch, Tobias ;
Muckentaler, Martina U. ;
Haeussinger, Dieter ;
Castoldi, Mirco .
SCIENTIFIC REPORTS, 2015, 5
[8]
Expression profiling of microRNA using real-time quantitative PCR, how to use it and what is available [J].
Benes, Vladimir ;
Castoldi, Mirco .
METHODS, 2010, 50 (04) :244-249
[9]
Real-time quantification of microRNAs by stem-loop RT-PCR [J].
Chen, CF ;
Ridzon, DA ;
Broomer, AJ ;
Zhou, ZH ;
Lee, DH ;
Nguyen, JT ;
Barbisin, M ;
Xu, NL ;
Mahuvakar, VR ;
Andersen, MR ;
Lao, KQ ;
Livak, KJ ;
Guegler, KJ .
NUCLEIC ACIDS RESEARCH, 2005, 33 (20) :e179.1-e179.9
[10]
MicroRNAs and their isomiRs function cooperatively to target common biological pathways [J].
Cloonan, Nicole ;
Wani, Shivangi ;
Xu, Qinying ;
Gu, Jian ;
Lea, Kristi ;
Heater, Sheila ;
Barbacioru, Catalin ;
Steptoe, Anita L. ;
Martin, Hilary C. ;
Nourbakhsh, Ehsan ;
Krishnan, Keerthana ;
Gardiner, Brooke ;
Wang, Xiaohui ;
Nones, Katia ;
Steen, Jason A. ;
Matigian, Nicholas A. ;
Wood, David L. ;
Kassahn, Karin S. ;
Waddell, Nic ;
Shepherd, Jill ;
Lee, Clarence ;
Ichikawa, Jeff ;
McKernan, Kevin ;
Bramlett, Kelli ;
Kuersten, Scott ;
Grimmond, Sean M. .
GENOME BIOLOGY, 2011, 12 (12)