Microfluidic impedance sensing distinguishes cancer cell states: A step towards point-of-care diagnostics

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology Biosensors and Bioelectronics: X Pub Date : 2025-02-10 DOI:10.1016/j.biosx.2025.100589
Mahtab Kokabi , Gulam M. Rather , Mehdi Javanmard
{"title":"Microfluidic impedance sensing distinguishes cancer cell states: A step towards point-of-care diagnostics","authors":"Mahtab Kokabi ,&nbsp;Gulam M. Rather ,&nbsp;Mehdi Javanmard","doi":"10.1016/j.biosx.2025.100589","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, we employed a custom microfluidic sensor to measure the electrical impedance of cancer cells, aiming to differentiate between suspension and adherent phenotypes. We investigated three suspension cell lines—JeKo-1, MM-1R, and Maver-1—representing hematological malignancies, and two adherent breast cancer cell lines—MDA-MB-231 and MDA- MB-468. The impedance measurements revealed significant differences corresponding to the cells’ growth patterns. Suspension cells exhibited lower median impedance values compared to adherent cells, likely due to variations in cell size, complexity, and membrane properties. Suspension cells, being smaller and less structurally complex, demonstrated reduced impedance, whereas adherent cells, which are larger and form stronger surface attachments, displayed higher impedance values. These findings highlight the potential of electrical impedance as a tool for distinguishing cancer cell types. To further validate these results, we propose focusing on the transition of a single cancer cell type between adherent and suspension states, simulating in vitro cancer proliferation conditions. This approach will provide a deeper understanding of how electrical properties evolve during this transition and may offer insights into distinguishing between benign and metastatic cancers or assessing metastatic stages. The observed reduction in impedance during the adherent-to-suspension transition supports the potential diagnostic utility of this method. Overall, this study demonstrates that electrical impedance provides a rapid, label-free approach for enhancing cancer cell diagnostics based on distinct electrical characteristics.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100589"},"PeriodicalIF":10.6100,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590137025000160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, we employed a custom microfluidic sensor to measure the electrical impedance of cancer cells, aiming to differentiate between suspension and adherent phenotypes. We investigated three suspension cell lines—JeKo-1, MM-1R, and Maver-1—representing hematological malignancies, and two adherent breast cancer cell lines—MDA-MB-231 and MDA- MB-468. The impedance measurements revealed significant differences corresponding to the cells’ growth patterns. Suspension cells exhibited lower median impedance values compared to adherent cells, likely due to variations in cell size, complexity, and membrane properties. Suspension cells, being smaller and less structurally complex, demonstrated reduced impedance, whereas adherent cells, which are larger and form stronger surface attachments, displayed higher impedance values. These findings highlight the potential of electrical impedance as a tool for distinguishing cancer cell types. To further validate these results, we propose focusing on the transition of a single cancer cell type between adherent and suspension states, simulating in vitro cancer proliferation conditions. This approach will provide a deeper understanding of how electrical properties evolve during this transition and may offer insights into distinguishing between benign and metastatic cancers or assessing metastatic stages. The observed reduction in impedance during the adherent-to-suspension transition supports the potential diagnostic utility of this method. Overall, this study demonstrates that electrical impedance provides a rapid, label-free approach for enhancing cancer cell diagnostics based on distinct electrical characteristics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Biosensors and Bioelectronics: X
Biosensors and Bioelectronics: X Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
166
审稿时长
54 days
期刊介绍: Biosensors and Bioelectronics: X, an open-access companion journal of Biosensors and Bioelectronics, boasts a 2020 Impact Factor of 10.61 (Journal Citation Reports, Clarivate Analytics 2021). Offering authors the opportunity to share their innovative work freely and globally, Biosensors and Bioelectronics: X aims to be a timely and permanent source of information. The journal publishes original research papers, review articles, communications, editorial highlights, perspectives, opinions, and commentaries at the intersection of technological advancements and high-impact applications. Manuscripts submitted to Biosensors and Bioelectronics: X are assessed based on originality and innovation in technology development or applications, aligning with the journal's goal to cater to a broad audience interested in this dynamic field.
期刊最新文献
Microfluidic impedance sensing distinguishes cancer cell states: A step towards point-of-care diagnostics Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing An electrolyte-gated transistor for the monitoring of a CRISPR/Cas activity Revolutionizing cervical cancer diagnostics: A shift from traditional techniques to biosensors SpAi: A machine-learning supported experimental workflow for high-throughput spheroid production and analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1