Single Cell Real-Time miRNAs Sensing Based on Nanomotors

被引:268
|
作者
de Avila, Berta Esteban-Fernandez [1 ]
Martin, Aida [1 ,2 ]
Soto, Fernando [1 ]
Lopez-Ramirez, Miguel Angel [1 ]
Campuzano, Susana [3 ]
Vasquez-Machado, Gersson Manuel
Gao, Weiwei [1 ]
Zhang, Liangfang [1 ]
Wang, Joseph [1 ]
机构
[1] Univ Calif San Diego, Dept Nanoengn, La Jolla, CA 92093 USA
[2] Univ Alcala de Henares, Dept Analyt Chem, E-28871 Madrid, Spain
[3] Univ Complutense Madrid, Dept Analyt Chem, E-28040 Madrid, Spain
关键词
miRNAs; real-time biosensing; single intact cancer cells; nanomotors; graphene oxide; ultrasound; RESONANCE ENERGY-TRANSFER; NANO-GRAPHENE OXIDE; MICRORNA DETECTION; NUCLEIC-ACID; MICROMOTORS; EXPRESSION; BIOSENSORS; TARGETS; PROBES; MOTION;
D O I
10.1021/acsnano.5b02807
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A nanomotor-based strategy for rapid single-step intracellular biosensing of a target miRNA, expressed in intact cancer cells, at the single cell level is described. The new concept relies on the use of ultrasound (US) propelled dye-labeled single-stranded DNA (ssDNA)/graphene-oxide (GO) coated gold nanowires (AuNWs) capable of penetrating intact cancer cells. Once the nanomotor is internalized into the cell, the quenched fluorescence signal (produced by the pi-pi interaction between GO and a dye-labeled ssDNA) is recovered due to the displacement of the dye-ssDNA probe from the motor GO-quenching surface upon binding with the target miRNA-21, leading to an attractive intracellular "OFF-ON" fluorescence switching. The faster internalization process of the US-powered nanomotors and their rapid movement into the cells increase the likelihood of probe target contacts, leading to a highly efficient and rapid hybridization. The ability of the nanomotor-based method to screen cancer cells based on the endogenous content of the target miRNA has been demonstrated by measuring the fluorescence signal in two types of cancer cells (MCF-7 and HeLa) with significantly different miRNA-21 expression levels. This single-step, motor-based miRNAs sensing approach enables rapid "on the move" specific detection of the target miRNA-21, even in single cells with an extremely low endogenous miRNA-21 content, allowing precise and real-time monitoring of intracellular miRNA expression.
引用
收藏
页码:6756 / 6764
页数:9
相关论文
共 50 条
  • [31] Real-time Comprehensive Defense Strategy Based-on Compressive Sensing
    Zhang, Yangmei
    Su, Wuqiang
    Wang, Jia
    Wu, Chao
    Li, Jianqiang
    2022 IEEE 9TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2022, : 588 - 594
  • [32] Real-time tracking using multiple features based on compressive sensing
    Yan, J. (yanjiaapple@tom.com), 1600, Chinese Academy of Sciences (21):
  • [33] Participatory Sensing Based Real-time Public Transport Information Service
    Farkas, Karoly
    Nagy, Adam Zsolt
    Tomas, Timon
    Szabo, Robert
    2014 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2014, : 141 - 144
  • [34] Real-time multi-scale tracking based on compressive sensing
    Yunxia Wu
    Ni Jia
    Jiping Sun
    The Visual Computer, 2015, 31 : 471 - 484
  • [35] Multiplex protein assays based on real-time magnetic nanotag sensing
    Osterfeld, Sebastian J.
    Yu, Heng
    Gaster, Richard S.
    Caramuta, Stefano
    Xu, Liang
    Han, Shu-Jen
    Hall, Drew A.
    Wilson, Robert J.
    Sun, Shouheng
    White, Robert L.
    Davis, Ronald W.
    Pourmand, Nader
    Wang, Shan X.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (52) : 20637 - 20640
  • [36] Chip Contour Detection Based on Real-time Image Sensing and Recognition
    Chang, Bao-Rong
    Tsai, Hsiu-Fen
    Hsieh, Chia-Wei
    Chen, Mo-Lan
    SENSORS AND MATERIALS, 2022, 34 (03) : 1077 - 1089
  • [37] Real-time acceleration sensing with an arctan algorithm based on a modal interferometer
    Zhang, Gang
    Wu, Xuqiang
    Ge, Qiang
    Li, Shill
    Shi, Jinhui
    Liu, Wei
    Zuo, Cheng
    Yu, Benli
    APPLIED OPTICS, 2019, 58 (14) : 3945 - 3949
  • [38] Gradient-Based Real-Time Spectrum Sensing at Low SNR
    Koley, Santasri
    Mirza, Vishal
    Islam, Saif
    Mitra, Debjani
    IEEE COMMUNICATIONS LETTERS, 2015, 19 (03) : 391 - 394
  • [39] Real-time multi-scale tracking based on compressive sensing
    Wu, Yunxia
    Jia, Ni
    Sun, Jiping
    VISUAL COMPUTER, 2015, 31 (04): : 471 - 484
  • [40] Dynamic and label-free cell-based assays using the real-time cell electronic sensing system
    Atienza, Josephine M.
    Yu, Naichen
    Kirstein, Shelli L.
    Xi, Biao
    Wang, Xiaobo
    Xu, Xiao
    Abassi, Yama A.
    ASSAY AND DRUG DEVELOPMENT TECHNOLOGIES, 2006, 4 (05) : 597 - 607