Rapid and accurate quantification of isomiRs by RT-qPCR

被引:5
|
作者
Franco, Sandra [1 ]
Pluvinet, Raquel [2 ]
Francisco Sanchez-Herrero, Jose [2 ]
Sumoy, Lauro [2 ]
Angel Martinez, Miguel [1 ]
机构
[1] Univ Autonoma Barcelona UAB, Hosp Univ Germans Trias & Pujol, IrsiCaixa, Badalona 08916, Spain
[2] Inst Germans Trias & Pujol IGTP, Badalona, Spain
关键词
CIRCULATING MICRORNAS; MESSENGER-RNAS; ISOFORMS; INJURY;
D O I
10.1038/s41598-022-22298-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Currently, microRNAs (miRs) are annotated as a single defined sequence (canonical), even though high-throughput small RNA sequencing has identified miR isoforms (isomiRs) that differ from their canonical counterparts in length, sequence, or both. Here we describe a simple reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR)-based assay for quantification of the miR-100-5p_iso_3p:-2 variant. We chose miR-100-5p because the canonical sequence was underrepresented in our evaluation of human plasma. The quantification of miR-100-5p_iso_3 p:-2 from 57 plasma samples demonstrated high concordance between high-throughput RNA sequencing and RT-qPCR results (r = 0.55, p < 0.0001). Of note, we could not detect or quantify miR-100-5p in our plasma samples using a commercial TaqMan canonical miR-100-5p RT-qPCR kit. With these 57 samples, we also adapted this assay to specifically quantify the canonical sequences of miR-122-5p and miR-192-5p. Similar to the results obtained with miR-100-5p_iso_3p:-2, RT-qPCR results for miR-122-5p and miR-192-5p highly correlated with high-throughput RNA sequencing data (miR-122-5p: r = 0.44, p = 0.0005; miR-192-5p: r = 0.72, p < 0.0001). The assay described here can be easily adapted to many different identified isomiRs. Because of the high specificity of isomiRs, their reliable RT-qPCR-based quantification could provide greater resolution and higher accuracy than using canonical sequences.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Rapid and accurate quantification of isomiRs by RT-qPCR
    Sandra Franco
    Raquel Pluvinet
    Jose Francisco Sanchez-Herrero
    Lauro Sumoy
    Miguel Angel Martinez
    Scientific Reports, 12
  • [2] Quantification of mRNA Expression by RT-qPCR
    Hutchinson, James A.
    TRANSPLANTATION, 2015, 99 (10) : 2009 - 2011
  • [3] Sensitive and rapid RT-qPCR quantification of pathogenic Candida species in human blood
    Ogata, Kiyohito
    Matsuda, Kazunori
    Tsuji, Hirokazu
    Nomoto, Koji
    JOURNAL OF MICROBIOLOGICAL METHODS, 2015, 117 : 128 - 135
  • [4] Assessment of RT-qPCR Normalization Strategies for Accurate Quantification of Extracellular microRNAs in Murine Serum
    Roberts, Thomas C.
    Coenen-Stass, Anna M. L.
    Wood, Matthew J. A.
    PLOS ONE, 2014, 9 (02):
  • [5] Two-tailed RT-qPCR: a novel method for highly accurate miRNA quantification
    Androvic, Peter
    Valihrach, Lukas
    Elling, Julie
    Sjoback, Robert
    Kubista, Mikael
    NUCLEIC ACIDS RESEARCH, 2017, 45 (15)
  • [6] Endogenous Heparin Interferes with Quantification of MicroRNAs by RT-qPCR
    Boileau, Adeline
    Cardenas, Christian L. Lino
    Lindsay, Mark E.
    Devaux, Yvan
    CLINICAL CHEMISTRY, 2018, 64 (05) : 863 - 865
  • [7] Standardization of qPCR and RT-qPCR
    Bustin, Stephen A.
    Vandesompele, Jo
    Pfaffl, Michael W.
    GENETIC ENGINEERING & BIOTECHNOLOGY NEWS, 2009, 29 (14): : 40 - 43
  • [8] Normalization panels for the reliable quantification of circulating microRNAs by RT-qPCR
    Kok, Maayke G. M.
    Halliani, Amalia
    Moerland, Perry D.
    Meijers, Joost C. M.
    Creemers, Esther E.
    Pinto-Sietsma, Sara-Joan
    FASEB JOURNAL, 2015, 29 (09): : 3853 - 3862
  • [9] Detection and quantification of viable Bacillus cereus in food by RT-qPCR
    Francisco Martinez-Blanch, Juan
    Sanchez, Gloria
    Garay, Esperanza
    Aznar, Rosa
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2011, 232 (06) : 951 - 955
  • [10] A reliable method for quantification of splice variants using RT-qPCR
    Londono, Julia Camacho
    Philipp, Stephan E.
    BMC MOLECULAR BIOLOGY, 2016, 17