Reverse transcription-free digital-quantitative-PCR for microRNA analysis

被引:9
作者
Mai, Hao T. [1 ]
Vanness, Brice C. [1 ]
Linz, Thomas H. [1 ]
机构
[1] Wayne State Univ, Dept Chem, 5101 Cass Ave, Detroit, MI 48202 USA
关键词
REAL-TIME PCR; EXPRESSION; ASSAY; QUANTIFICATION;
D O I
10.1039/d3an00351e
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
MicroRNAs (miRNAs) are non-coding RNA sequences that regulate many biological processes and have become central targets of biomedical research. However, their naturally low abundances in biological samples necessitates the development of sensitive analytical techniques to conduct routine miRNA measurements in research laboratories. Digital PCR has the potential to meet this need because of its single-molecule detection capabilities, but PCR analyses of miRNAs are slowed by the ligation and reverse transcription steps first required to prepare samples. This report describes the development of a method to rapidly quantify miRNA in digital microwell arrays using base-stacking digital-quantitative-PCR (BS-dqPCR). BS-dqPCR expedites miRNA measurements by eliminating the need for ligation and reverse transcription steps, which reduces the time and cost compared to conventional miRNA PCR analyses. Under standard PCR thermocycling conditions, digital signals from miRNA samples were lower than expected, while signals from blanks were high. Therefore, a novel asymmetric thermocycling program was developed that maximized on-target signal from miRNA while minimizing non-specific amplification. The analytical response of BS-dqPCR was then evaluated over a range of miRNA concentrations. The digital PCR dimension increased in signal with increasing miRNA copy numbers. When the digital signal saturated, the quantitative PCR dimension readily discerned miRNA copy number differences. Overall, BS-dqPCR provides rapid, high-sensitivity measurements of miRNA over a wide dynamic range, which demonstrates its utility for routine miRNA analyses.
引用
收藏
页码:3019 / 3027
页数:9
相关论文
共 50 条
  • [31] Matrigel plug assay: evaluation of the angiogenic response by reverse transcription-quantitative PCR
    Daniela Coltrini
    Emanuela Di Salle
    Roberto Ronca
    Mirella Belleri
    Chiara Testini
    Marco Presta
    Angiogenesis, 2013, 16 : 469 - 477
  • [32] Pan-Piscine Orthoreovirus (PRV) Detection Using Reverse Transcription Quantitative PCR
    Zhao, Julie
    Vendramin, Niccolo
    Cuenca, Argelia
    Polinski, Mark
    Hawley, Laura M.
    Garver, Kyle A.
    PATHOGENS, 2021, 10 (12):
  • [33] Identification of suitable reference genes for quantitative reverse transcription PCR in Luffa (Luffa cylindrica)
    Zhao, Gangjun
    Wang, Meng
    Gan, Yaqin
    Gong, Hao
    Li, Junxing
    Zheng, Xiaoming
    Liu, Xiaoxi
    Zhao, Siying
    Luo, Jianning
    Wu, Haibin
    PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS, 2022, 28 (04) : 737 - 747
  • [34] Matrigel plug assay: evaluation of the angiogenic response by reverse transcription-quantitative PCR
    Coltrini, Daniela
    Di Salle, Emanuela
    Ronca, Roberto
    Belleri, Mirella
    Testini, Chiara
    Presta, Marco
    ANGIOGENESIS, 2013, 16 (02) : 469 - 477
  • [35] A novel quantitative reverse-transcription PCR (qRT-PCR) for the enumeration of total bacteria, using meat micro-flora as a model
    Dolan, Anthony
    Burgess, Catherine M.
    Barry, Thomas B.
    Fanning, Seamus
    Duffy, Geraldine
    JOURNAL OF MICROBIOLOGICAL METHODS, 2009, 77 (01) : 1 - 7
  • [36] Superiority of Digital Reverse Transcription-PCR (RT-PCR) over Real-Time RT-PCR for Quantitation of Highly Divergent Human Rhinoviruses
    Sedlak, Ruth Hall
    Thuy Nguyen
    Palileo, Isabel
    Jerome, Keith R.
    Kuypersa, Jane
    JOURNAL OF CLINICAL MICROBIOLOGY, 2017, 55 (02) : 442 - 449
  • [37] Steps to achieve quantitative measurements of microRNA using two step droplet digital PCR
    Stein, Erica V.
    Duewer, David L.
    Farkas, Natalia
    Romsos, Erica L.
    Wang, Lili
    Cole, Kenneth D.
    PLOS ONE, 2017, 12 (11):
  • [38] Reference genes for quantitative, reverse-transcription PCR in Bacillus cereus group strains throughout the bacterial life cycle
    Reiter, Lillian
    Kolsto, Anne-Brit
    Piehler, Armin P.
    JOURNAL OF MICROBIOLOGICAL METHODS, 2011, 86 (02) : 210 - 217
  • [39] Quantitative or digital PCR? A comparative analysis for choosing the optimal one for biosensing applications
    Zhang, Haoqing
    Cao, Lei
    Brodsky, Jan
    Gablech, Imrich
    Xu, Feng
    Li, Zedong
    Korabecna, Marie
    Neuzil, Pavel
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2024, 174
  • [40] Multiplexed miRNA and Protein Analysis Using Digital Quantitative PCR in Microwell Arrays
    Vanness, Brice C.
    Linz, Thomas H.
    ANALYTICAL CHEMISTRY, 2024, 96 (03) : 1371 - 1379