4.8 Article

Refractive Index Sensing for Measuring Single Cell Growth

Journal

ACS NANO
Volume 15, Issue 6, Pages 10710-10721

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c04031

Keywords

plasmonics; label free biosensing; cell growth profiling; functional assays; cellular metabolism; nanohole arrays

Funding

  1. Scientific and Technological Research Council of Turkey (TUBITAK) [119E111, 3501]
  2. BAGEP Award of the Science Academy, Turkey

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This paper introduces a plasmonic functional assay platform for precise measurement of cell weight and real-time dynamic changes in adherent cells, allowing for determination of growth rates and heterogeneity within populations. The platform successfully differentiated growth profiles of populations and assessed subpopulations exhibiting distinct growth profiles, demonstrating potential for broad applications in basic research and clinical settings.
Accessing cell growth on adhesive substrates is critical for identifying biophysical properties of cells and their therapeutic response to drug therapies. However, optical techniques have low sensitivity, and their reliability varies with cell type, whereas microfluidic technologies rely on cell suspension. In this paper, we introduced a plasmonic functional assay platform that can precisely measure cell weight and the dynamic change in real-time for adherent cells. Possessing this ability, our platform can determine growth rates of individual cells within only 10 mm to map the growth profile of populations in short time intervals. The platform could successfully determine heterogeneity within the growth profile of populations and assess subpopulations exhibiting distinct growth profiles. As a proof of principle, we investigated the growth profile of MCF-7 cells and the effect of two intracellular metabolisms critical for their proliferation. We first investigated the negative effect of serum starvation on cell growth. We then studied ornithine decarboxylase (ODC) activity, a key enzyme which is involved in proliferation, and degraded under low osmolarity that inhibits cell growth. We successfully determined the significant distinction between growth profiles of MCF-7 cells and their ODC-overproducing variants that possess strong resistance to the negative effects of low osmolarity. We also demonstrated that an exogenous parameter, putrescine, could rescue cells from ODC inhibition under hypoosmotic conditions. In addition to the ability of accessing intracellular activities through ex vivo measurements, our platform could also determine therapeutic behaviors of cancer cells in response to drug treatments. Here, we investigated difluoromethylornithine (DFMO), which has antitumor effects on MCF-7 cells by inhibiting ODC activity. We successfully demonstrated the susceptibility of MCF-7 cells to such drug treatment, while its DFMO-resistant subpopulation could survive in the presence of this antigrowth agent. By rapidly determining cell growth kinetics in small samples, our plasmonic platform may be of broad use to basic research and clinical applications.

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