High-Throughput 96-Well Nanogroove-Enhanced Electrical Impedance Biosensor for Real-Time Label-Free Cancer Drug Screening
This study advances bioelectronic platforms and cellular behavior analysis by enhancing the precision and scalability of nanopatterned membranes integrated with electrode arrays for real-time, high-throughput monitoring. By employing self-assembled monolayers (SAMs) and optimizing imprinting paramet...
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Published in | Advanced healthcare materials Vol. 14; no. 22; p. e2402057 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Germany
18.06.2025
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Abstract | This study advances bioelectronic platforms and cellular behavior analysis by enhancing the precision and scalability of nanopatterned membranes integrated with electrode arrays for real-time, high-throughput monitoring. By employing self-assembled monolayers (SAMs) and optimizing imprinting parameters, uniform large-area nanopatterns are successfully fabricated, overcoming challenges such as the "rabbit ears" effect and inconsistent pattern fidelity. The nanopatterned substrates, integrated within 96-well plates with electrode arrays, enable real-time impedance spectroscopy, providing a dynamic assessment of cellular behavior under chemotherapeutic drug exposure. The developed NanoIEA platform facilitates comprehensive investigations into cellular growth and drug interactions. RNA sequencing of MCF-7 cells cultured on nanopatterned substrates reveals significant differential gene expression, suggesting that traditional flat-surface cultures may induce artificial gene regulation, potentially biasing drug screening results. Patterned cell cultures that mimic physiological conditions yield more accurate and predictive outcomes for anticancer drug screening. This research underscores the critical role of nanopatterning in recapitulating in vivo-like gene expression and highlights the profound impact of microenvironmental cues on cellular behavior. By integrating advanced nanofabrication with precise real-time monitoring, this approach addresses technical limitations in bioelectronic sensing while providing deeper insights into dynamic cellular responses, reinforcing the importance of substrate design in tissue engineering and drug development. |
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AbstractList | This study advances bioelectronic platforms and cellular behavior analysis by enhancing the precision and scalability of nanopatterned membranes integrated with electrode arrays for real-time, high-throughput monitoring. By employing self-assembled monolayers (SAMs) and optimizing imprinting parameters, uniform large-area nanopatterns are successfully fabricated, overcoming challenges such as the "rabbit ears" effect and inconsistent pattern fidelity. The nanopatterned substrates, integrated within 96-well plates with electrode arrays, enable real-time impedance spectroscopy, providing a dynamic assessment of cellular behavior under chemotherapeutic drug exposure. The developed NanoIEA platform facilitates comprehensive investigations into cellular growth and drug interactions. RNA sequencing of MCF-7 cells cultured on nanopatterned substrates reveals significant differential gene expression, suggesting that traditional flat-surface cultures may induce artificial gene regulation, potentially biasing drug screening results. Patterned cell cultures that mimic physiological conditions yield more accurate and predictive outcomes for anticancer drug screening. This research underscores the critical role of nanopatterning in recapitulating in vivo-like gene expression and highlights the profound impact of microenvironmental cues on cellular behavior. By integrating advanced nanofabrication with precise real-time monitoring, this approach addresses technical limitations in bioelectronic sensing while providing deeper insights into dynamic cellular responses, reinforcing the importance of substrate design in tissue engineering and drug development. |
Author | Choi, Jong Seob Kim, Deok-Ho Lee, Jung Hyun Park, Hye-Bin Kim, Byunggik Su, Chia-Yi Kim, Hyung Jin Lee, Su Han Lee, Yongjin Lee, JuKyung Jang, Seongjun Lee, Jihoon Sung, Sang-Keun |
Author_xml | – sequence: 1 givenname: Jong Seob orcidid: 0000-0003-1621-1497 surname: Choi fullname: Choi, Jong Seob organization: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States – sequence: 2 givenname: Hye-Bin surname: Park fullname: Park, Hye-Bin organization: Digital Health Care Research Center, Gumi Electronics and Information Technology Research Institute (GERI), 350-27, Gumidaero, Gumi, Gyeongbuk, 39253, South Korea – sequence: 3 givenname: Su Han surname: Lee fullname: Lee, Su Han organization: Digital Health Care Research Center, Gumi Electronics and Information Technology Research Institute (GERI), 350-27, Gumidaero, Gumi, Gyeongbuk, 39253, South Korea – sequence: 4 givenname: Byunggik orcidid: 0000-0003-3076-8806 surname: Kim fullname: Kim, Byunggik organization: Center for Microphysiological Systems, Johns Hopkins University, Baltimore, MD, 21205, United States – sequence: 5 givenname: Jihoon surname: Lee fullname: Lee, Jihoon organization: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States – sequence: 6 givenname: Sang-Keun surname: Sung fullname: Sung, Sang-Keun organization: Digital Health Care Research Center, Gumi Electronics and Information Technology Research Institute (GERI), 350-27, Gumidaero, Gumi, Gyeongbuk, 39253, South Korea – sequence: 7 givenname: Chia-Yi surname: Su fullname: Su, Chia-Yi organization: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States – sequence: 8 givenname: JuKyung surname: Lee fullname: Lee, JuKyung organization: Digital Health Care Research Center, Gumi Electronics and Information Technology Research Institute (GERI), 350-27, Gumidaero, Gumi, Gyeongbuk, 39253, South Korea – sequence: 9 givenname: Seongjun surname: Jang fullname: Jang, Seongjun organization: R&D center, Live Cell Instrument Co. ltd, 272, Sunhwagung-ro, Namyangju-si, Gyeonggi-do, 1001-1020, South Korea – sequence: 10 givenname: Yongjin surname: Lee fullname: Lee, Yongjin organization: R&D center, Live Cell Instrument Co. ltd, 272, Sunhwagung-ro, Namyangju-si, Gyeonggi-do, 1001-1020, South Korea – sequence: 11 givenname: Jung Hyun surname: Lee fullname: Lee, Jung Hyun organization: Institute for Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, WA, 98109, United States – sequence: 12 givenname: Hyung Jin surname: Kim fullname: Kim, Hyung Jin organization: Department of Semiconductor Engineering, Ulsan College, Ulsan, 44610, South Korea – sequence: 13 givenname: Deok-Ho surname: Kim fullname: Kim, Deok-Ho organization: Center for Microphysiological Systems, Johns Hopkins University, Baltimore, MD, 21205, United States |
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Keywords | high‐throughput drug screening interdigitated electrode arrays nanopatterned substrates electrochemical sensors real‐time impedance sensing |
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SubjectTerms | Antineoplastic Agents - pharmacology Biosensing Techniques - instrumentation Biosensing Techniques - methods Drug Screening Assays, Antitumor - instrumentation Drug Screening Assays, Antitumor - methods Electric Impedance High-Throughput Screening Assays - methods Humans MCF-7 Cells |
Title | High-Throughput 96-Well Nanogroove-Enhanced Electrical Impedance Biosensor for Real-Time Label-Free Cancer Drug Screening |
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