Published June 1, 2020 | Version v1

Polysaccharide Multilayer Films in Sensors for Detecting Prostate Tumor Cells Based on Hyaluronan-CD44 Interactions

  • 1. School of Chemical Engineering, University of Campinas
  • 2. Nanotechnology National Laboratory for Agriculture, Embrapa Instrumentação
  • 3. São Carlos Institute of Physics, University of São Paulo
  • 4. Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM)
  • 5. Institute of Biology, University of Campinas

Description

The increasing need for point-of-care diagnosis has sparked the development of label-free sensing platforms, some of which are based on impedance measurements with biological cells. Here, interdigitated electrodes were functionalized with layer-by-layer (LbL) films of hyaluronan (HA) and chitosan (CHI) to detect prostatic tumor cells (PC3 line). The deposition of LbL films was confirmed with atomic force microscopy and polarization-modulated infrared reflection absorption spectroscopy (PM-IRRAS), which featured the vibrational modes of the HA top layer capable of interacting specifically with glycoprotein CD44 receptors overexpressed in tumor cells. Though the CHI/HA LbL films cannot be considered as a traditional biosensor due to their limited selectivity, it was possible to distinguish prostate tumor cells in the range from 50 to 600 cells/µL in in vitro experiments with impedance spectroscopy. This was achieved by treating the impedance data with information visualization methods, which confirmed the distinguishing ability of the films by observing the absence of false positives in a series of control experiments. The CD44–HA interactions may, therefore, be exploited in clinical analyses and point-of-care diagnostics for cancer, particularly if computational methods are used to process the data.

Notes

Funding: CNPq (147536/2016-2) and São Paulo Research Foundation (FAPESP, 2018/18953-8, 2016/10193-9, 2018/22214-6, 2018/20560-4) for the financial support to conduct this project. INFABiC is co-funded by FAPESP (2014/50938-8) and CNPq (465699/2014-6).

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Journal article: 10.3390/cells9061563 (DOI)