Single-cell bioelectrical impedance platform for monitoring cellular response to drug treatment

被引:56
|
作者
Asphahani, Fareid [1 ]
Wang, Kui [1 ]
Thein, Myo [2 ]
Veiseh, Omid [1 ]
Yung, Sandy [1 ]
Xu, Jian [2 ]
Zhang, Miqin [1 ]
机构
[1] Univ Washington, Dept Mat Sci & Engn, Seattle, WA 98195 USA
[2] Penn State Univ, Dept Engn Sci & Mech, University Pk, PA 16802 USA
基金
美国国家卫生研究院;
关键词
GENE-EXPRESSION; ION CHANNELS; ADHESION; INVASION; SENSORS; MODULATION; BIOSENSOR; VOLUME; CHIP;
D O I
10.1088/1478-3975/8/1/015006
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The response of cells to a chemical or biological agent in terms of their impedance changes in real-time is a useful mechanism that can be utilized for a wide variety of biomedical and environmental applications. The use of a single-cell-based analytical platform could be an effective approach to acquiring more sensitive cell impedance measurements, particularly in applications where only diminutive changes in impedance are expected. Here, we report the development of an on-chip cell impedance biosensor with two types of electrodes that host individual cells and cell populations, respectively, to study its efficacy in detecting cellular response. Human glioblastoma (U87MG) cells were patterned on single- and multi-cell electrodes through ligand-mediated natural cell adhesion. We comparatively investigated how these cancer cells on both types of electrodes respond to an ion channel inhibitor, chlorotoxin (CTX), in terms of their shape alternations and impedance changes to exploit the fine detectability of the single-cell-based system. The detecting electrodes hosting single cells exhibited a significant reduction in the real impedance signal, while electrodes hosting confluent monolayer of cells showed little to no impedance change. When single-cell electrodes were treated with CTX of different doses, a dose-dependent impedance change was observed. This enables us to identify the effective dose needed for this particular treatment. Our study demonstrated that this single-cell impedance system may potentially serve as a useful analytical tool for biomedical applications such as environmental toxin detection and drug evaluation.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Single-cell trapping and selective treatment via co-flow within a microfluidic platform
    Benavente-Babace, A.
    Gallego-Perez, D.
    Hansford, D. J.
    Arana, S.
    Perez-Lorenzo, E.
    Mujika, M.
    BIOSENSORS & BIOELECTRONICS, 2014, 61 : 298 - 305
  • [22] Feasibility of Tracking Multiple Single-Cell Properties with Impedance Spectroscopy
    Ren, Dingkun
    Chui, Chi On
    ACS SENSORS, 2018, 3 (05): : 1005 - 1015
  • [23] Single-cell analysis identifies cellular markers of the HIV permissive cell
    Rato, Sylvie
    Rausell, Antonio
    Munoz, Miguel
    Telenti, Amalio
    Ciuffi, Angela
    PLOS PATHOGENS, 2017, 13 (10)
  • [24] Ring-Shaped Microlanes and Chemical Barriers as a Platform for Probing Single-Cell Migration
    Schreiber, Christoph
    Segerer, Felix J.
    Wagner, Ernst
    Roidl, Andreas
    Raedler, Joachim O.
    SCIENTIFIC REPORTS, 2016, 6
  • [25] Tracking the immune response with single-cell genomics
    Yost, Kathryn E.
    Chang, Howard Y.
    Satpathy, Ansuman T.
    VACCINE, 2020, 38 (28) : 4487 - 4490
  • [26] Synthesis of a Cyberphysical Hybrid Microfluidic Platform for Single-Cell Analysis
    Ibrahim, Mohamed
    Chakrabarty, Krishnendu
    Schlichtmann, Ulf
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 38 (07) : 1237 - 1250
  • [27] Fiber-optic nanosensors for single-cell monitoring
    Tuan Vo-Dinh
    Paul Kasili
    Analytical and Bioanalytical Chemistry, 2005, 382 : 918 - 925
  • [28] Fiber-optic nanosensors for single-cell monitoring
    Vo-Dinh, T
    Kasili, P
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2005, 382 (04) : 918 - 925
  • [29] Single-cell analysis tools for drug discovery and development
    Heath, James R.
    Ribas, Antoni
    Mischel, Paul S.
    NATURE REVIEWS DRUG DISCOVERY, 2016, 15 (03) : 204 - 216
  • [30] Integrative single-cell and cell-free plasma RNA transcriptomics elucidates placental cellular dynamics
    Tsang, Jason C. H.
    Vong, Joaquim S. L.
    Ji, Lu
    Poon, Liona C. Y.
    Jiang, Peiyong
    Lui, Kathy O.
    Ni, Yun-Bi
    To, Ka Fai
    Cheng, Yvonne K. Y.
    Chiu, Rossa W. K.
    Lo, Yuk Ming Dennis
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (37) : E7786 - E7795