Microparticle-based RT-qPCR for highly selective rare mutation detection

被引:16
|
作者
Oh, Eun Hae [1 ]
Jung, Seungwon [1 ]
Kim, Won Jin [2 ]
Kim, Kwang Pyo [2 ]
Kim, Sang Kyung [1 ,3 ]
机构
[1] Korea Inst Sci & Technol, Brain Sci Inst, Ctr BioMicrosyst, Seoul 02792, South Korea
[2] Kyung Hee Univ, Inst Nat Sci, Dept Appl Chem, Coll Appl Sci, Yongin 17104, South Korea
[3] Korea Univ Sci & Technol, Dept Biomed Engn, Daejeon 34113, South Korea
基金
新加坡国家研究基金会;
关键词
RT-qPCR; Primer-immobilized particles; Bcr-Abl fusion transcript; REAL-TIME PCR; POLYMERASE-CHAIN-REACTION; SINGLE-CELL; DIAGNOSIS; INFECTIONS; CANCER; ASSAY; GENE; AMPLIFICATION; HYBRIDIZATION;
D O I
10.1016/j.bios.2016.08.057
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
The quantitative reverse transcription polymerase chain reaction (RT-qPCR) has become one of the most widely used methods in the detection of disease-specific RNAs. The RT-qPCR involves two separate steps, RT and qPCR. In this study, we suggest a new RT-qPCR protocol with the particles of primer-immobilized networks (PINs), performing capture, RT and amplification of a target RNA in one particle. The production of undesired cDNAs was dramatically suppressed by the specific capture of the target RNA within the particle. Afterward, RT and amplification processes are performed without loss of cDNAs as exchanging the reaction solution. The biomarker gene of chronic myeloid leukemia, Bcr-Abl fusion transcript, is detected in the sensitivity of single mutant leukemic cell mixed in 104 normal cell using this protocol with the excellent restraint of non-specific signal. This protocol that whole processes are performed in the particle in a row is preferred for the highly specific detection of target RNAs in complex sample. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:229 / 235
页数:7
相关论文
共 50 条
  • [21] Evaluation of four commercial RT-qPCR testkits for detection of Bluetongue virus RNA
    Steinrigl, Adolf
    Hofrichter, Johannes
    Loitsch, Angelika
    Winter, Petra
    Revilla-Fernandez, Sandra
    BERLINER UND MUNCHENER TIERARZTLICHE WOCHENSCHRIFT, 2011, 124 (7-8): : 288 - 294
  • [22] Detection of Cytoplasmic and Nuclear Circular RNA via RT-qPCR
    Tan, Ke-En
    Ng, Wei Lun
    Ea, Chee-Kwee
    Lim, Yat-Yuen
    BIO-PROTOCOL, 2023, 13 (17):
  • [23] Multigene Combined Detection by RT-qPCR Using Cytological Specimens
    Ma, Yang
    Zhao, Jingxia
    Du, Yun
    Wang, Rui
    Ji, Xiaokun
    Wu, Juan
    Guo, Xiao
    Liu, Ying
    Zhang, Yan
    ACTA CYTOLOGICA, 2021, 65 (05) : 393 - 402
  • [24] SENSITIVE MULTIPLEX REAL-TIME RT-QPCR ASSAY FOR THE DETECTION OF FILOVIRUSES
    Dedkov, Vladimir G.
    Magassouba, N'Faly
    Safonova, Marina V.
    Bodnev, Sergey A.
    Pyankov, Oleg V.
    Camara, Jacob
    Sylla, Bakary
    Agafonov, Alexander P.
    Maleev, Victor V.
    Shipulin, German A.
    HEALTH SECURITY, 2018, 16 (01) : 14 - 21
  • [25] One-step RT-qPCR with an internal control system for the detection of turkey rotaviruses in faecal samples
    Akimkin, V.
    Bindel, F.
    Hoferer, M.
    Sting, R.
    Polley, B.
    Haenel, A.
    Hafez, H. M.
    JOURNAL OF VIROLOGICAL METHODS, 2011, 177 (01) : 112 - 117
  • [26] Development of an RNA extraction protocol for detection of waterborne viruses by reverse transcriptase quantitative PCR (RT-qPCR)
    Jothikumar, N.
    Sobsey, M. D.
    Cromeans, T. L.
    JOURNAL OF VIROLOGICAL METHODS, 2010, 169 (01) : 8 - 12
  • [27] Detection of Fecal Bacteria and Source Tracking Identifiers in Environmental Waters Using rRNA-Based RT-qPCR and rDNA-Based qPCR Assays
    Pitkanen, Tarja
    Ryu, Hodon
    Elk, Michael
    Hokajarvi, Anna-Maria
    Siponen, Sallamaari
    Vepsalainen, Asko
    Rasanen, Pia
    Domingo, Jorge W. Santo
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2013, 47 (23) : 13611 - 13620
  • [28] One-Step RT-qPCR for Viral RNA Detection Using Digital Analysis
    Park, Hyuna
    Jung, Wonjong
    Jang, Hyeongseok
    Namkoong, Kak
    Choi, Kwon-Young
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 10
  • [29] IMPROVED DETECTION OF ILARVIRUSES AND NEPOVIRUSES AFFECTING FRUIT TREES USING QUANTITATIVE RT-qPCR
    Osman, F.
    Al Rwahnih, M.
    Rowhani, A.
    JOURNAL OF PLANT PATHOLOGY, 2014, 96 (03) : 577 - 583
  • [30] A new multiplex RT-qPCR method for the simultaneous detection and discrimination of Zika and chikungunya viruses
    Broeders, Sylvia
    Garlant, Linda
    Fraiture, Marie-Alice
    Vandermassen, Els
    Suin, Vanessa
    Vanhomwegen, Jessica
    Dupont-Rouzeyrol, Myrielle
    Rousset, Dominique
    Van Gucht, Steven
    Roosens, Nancy
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 92 : 160 - 170