Single-cell individualized electroporation with real-time impedance monitoring using a microelectrode array chip

被引:0
|
作者
Zhizhong Zhang
Tianyang Zheng
Rong Zhu
机构
[1] Tsinghua University,State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The ability to precisely deliver molecules into single cells while maintaining good cell viability is of great importance to applications in therapeutics, diagnostics, and drug delivery as it is an advancement toward the promise of personalized medicine. This paper reports a single-cell individualized electroporation method with real-time impedance monitoring to improve cell perforation efficiency and cell viability using a microelectrode array chip. The microchip contains a plurality of sextupole-electrode units patterned in an array, which are used to perform in situ electroporation and real-time impedance monitoring on single cells. The dynamic recovery processes of single cells under electroporation are tracked in real time via impedance measurement, which provide detailed transient cell states and facilitate understanding the whole recovery process at the level of single cells. We define single-cell impedance indicators to characterize cell perforation efficiency and cell viability, which are used to optimize electroporation. By applying the proposed electroporation method to different cell lines, including human cancer cell lines and normal human cell lines individually, optimum stimuli are determined for these cells, by which high transfection levels of enhanced green fluorescent protein (EGFP) plasmid into cells are achieved. The results validate the effectiveness of the proposed single-cell individualized electroporation/transfection method and demonstrate promising potential in applications of cell reprogramming, induced pluripotent stem cells, adoptive cell therapy, and intracellular drug delivery technology.
引用
收藏
相关论文
共 50 条
  • [21] Real-time single-cell imaging of protein secretion
    Yoshitaka Shirasaki
    Mai Yamagishi
    Nobutake Suzuki
    Kazushi Izawa
    Asahi Nakahara
    Jun Mizuno
    Shuichi Shoji
    Toshio Heike
    Yoshie Harada
    Ryuta Nishikomori
    Osamu Ohara
    Scientific Reports, 4
  • [22] Real-time cell electrophysiology using a multi-channel dielectrophoretic-dot microelectrode array
    Fatoyinbo, Henry O.
    Kadri, Nahrizul A.
    Gould, David H.
    Hoettges, Kai F.
    Labeed, Fatima H.
    ELECTROPHORESIS, 2011, 32 (18) : 2541 - 2549
  • [23] Heterogeneity in tumors: a real-time and single-cell perspective
    Snippert, H.
    FEBS OPEN BIO, 2024, 14 : 52 - 52
  • [24] Real-time single-cell imaging of protein secretion
    Shirasaki, Yoshitaka
    Yamagishi, Mai
    Suzuki, Nobutake
    Izawa, Kazushi
    Nakahara, Asahi
    Mizuno, Jun
    Shoji, Shuichi
    Heike, Toshio
    Harada, Yoshie
    Nishikomori, Ryuta
    Ohara, Osamu
    SCIENTIFIC REPORTS, 2014, 4
  • [25] Measurement of Single-Cell Deformability Using Impedance Analysis on Microfluidic Chip
    Kim, Dongil
    Choi, Eunpyo
    Choi, Sung Sik
    Lee, Sangho
    Park, Jungyul
    Yun, Kwang-Seok
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2010, 49 (12)
  • [26] Real-time monitoring of cell protrusion dynamics by impedance responses
    Paolo Armando Gagliardi
    Alberto Puliafito
    Laura di Blasio
    Federica Chianale
    Desiana Somale
    Giorgio Seano
    Federico Bussolino
    Luca Primo
    Scientific Reports, 5
  • [27] Real-time monitoring of cell protrusion dynamics by impedance responses
    Gagliardi, Paolo Armando
    Puliafito, Alberto
    di Blasio, Laura
    Chianale, Federica
    Somale, Desiana
    Seano, Giorgio
    Bussolino, Federico
    Primo, Luca
    SCIENTIFIC REPORTS, 2015, 5
  • [28] Microelectrode array for noninvasive analysis of cardiomyocytes at the single-cell level
    Ryynanen, Tomi
    Pekkanen-Mattila, Mari
    Shah, Disheet
    Kreutzer, Joose
    Kallio, Pasi
    Lekkala, Jukka
    Aalto-Setala, Katriina
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2018, 57 (11)
  • [29] Single-cell dispensing and ‘real-time’ cell classification using convolutional neural networks for higher efficiency in single-cell cloning
    Julian Riba
    Jonas Schoendube
    Stefan Zimmermann
    Peter Koltay
    Roland Zengerle
    Scientific Reports, 10
  • [30] Single-cell dispensing and 'real-time' cell classification using convolutional neural networks for higher efficiency in single-cell cloning
    Riba, Julian
    Schoendube, Jonas
    Zimmermann, Stefan
    Koltay, Peter
    Zengerle, Roland
    SCIENTIFIC REPORTS, 2020, 10 (01)