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Technology (Singap World Sci). 2015 Dec;3(4):194-200. doi: 10.1142/S2339547815500089. Epub 2015 Nov 16.

One-step tumor detection from dynamic morphology tracking on aptamer-grafted surfaces.

Technology

Mohammed Arif I Mahmood, Mohammad Raziul Hasan, Umair J M Khan, Peter B Allen, Young-Tae Kim, Andrew D Ellington, Samir M Iqbal

Affiliations

  1. Nano-Bio Lab, University of Texas at Arlington, TX 76019, USA; Department of Electrical Engineering, University of Texas at Arlington, TX 76010, USA; Nanotechnology Research Center, University of Texas at Arlington, TX 76019, USA.
  2. Nano-Bio Lab, University of Texas at Arlington, TX 76019, USA; Nanotechnology Research Center, University of Texas at Arlington, TX 76019, USA; Department of Biology, University of Texas at Arlington, TX 76019, USA.
  3. Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA; Now at Department of Chemistry, University of Idaho, Moscow, ID 83844-2343, USA.
  4. Nanotechnology Research Center, University of Texas at Arlington, TX 76019, USA; Department of Bioengineering, University of Texas at Arlington, TX 76011, USA; Department of Urology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.
  5. Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA.
  6. Nano-Bio Lab, University of Texas at Arlington, TX 76019, USA; Department of Electrical Engineering, University of Texas at Arlington, TX 76010, USA; Nanotechnology Research Center, University of Texas at Arlington, TX 76019, USA; Department of Biology, University of Texas at Arlington, TX 76019, USA; Department of Urology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.

PMID: 26753172 PMCID: PMC4703374 DOI: 10.1142/S2339547815500089

Abstract

In this paper, we report a one-step tumor cell detection approach based on the dynamic morphological behavior tracking of cancer cells on a ligand modified surface. Every cell on the surface was tracked in real time for several minutes immediately after seeding until these were finally attached. Cancer cells were found to be very active in the aptamer microenvironment, changing their shapes rapidly from spherical to semi-elliptical, with much flatter spread and extending pseudopods at regular intervals. When incubated on a functionalized surface, the balancing forces between cell surface molecules and the surface-bound aptamers, together with the flexibility of the membranes, caused cells to show these distinct dynamic activities and variations in their morphologies. On the other hand, healthy cells remained distinguishingly inactive on the surface over the same period. The quantitative image analysis of cell morphologies provided feature vectors that were statistically distinct between normal and cancer cells.

Keywords: Cancer Cell Morphology; Cell Imaging; Early Cancer Diagnosis; Human Glioblastoma (hGBM); Temporal Image Processing

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