An automatic and quantitative on-chip cell migration assay using self-assembled monolayers combined with real-time cellular impedance sensing.
Cell migration is crucial in many physiological and pathological processes including embryonic development, immune response and cancer metastasis. Traditional methods for cell migration detection such as wound healing assay usually involve physical scraping of a cell monolayer followed by an optical observation of cell movement. However, these methods require hand-operation with low repeatability. Moreover, it's a qualitative observation not a quantitative measurement, which is hard to scale up to a high-throughput manner. In this article, a novel and reliable on-chip cell migration detection method integrating surface chemical modification of gold electrodes using self-assembled monolayers (SAMs) and real-time cellular impedance sensing is presented. The SAMs are used to inhibit cell adherence forming an area devoid of cells, which could effectively mimic wounds in a cell monolayer. After a DC electrical signal was applied, the SAMs were desorbed from the electrodes and cells started to migrate. The process of cell migration was monitored by real-time impedance sensing. This demonstrates the first occurrence of integrating cellular impedance sensing and wound-forming with SAMs, which makes cell migration assay being real-time, quantitative and fully automatic. We believe this method could be used for high-throughput anti-migratory drug screening and drug discovery.
Wang
Lei
L
Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China.
Zhu
Jing
J
Deng
Cheng
C
Xing
Wan-li
WL
Cheng
Jing
J
D000818:Animals; D001331:Automation; D001681:Biological Assay / Q000379:methods*; D015374:Biosensing Techniques / Q000379:methods*; D054443:Cell Migration Assays / Q000379:methods*; D002477:Cells / Q000166:cytology / Q000378:metabolism*; D017097:Electric Impedance; D006801:Humans; D046208:Microchip Analytical Procedures / Q000379:methods*; D013678:Technology, Pharmaceutical / Q000379:methods*; D013997:Time Factors