Bioinspired Hierarchically Structured Surfaces for Efficient Capture and Release of Circulating Tumor Cells.
Xiaoqiu DouPing LiSiyu JiangHaider BayatHolger SchönherrPublished in: ACS applied materials & interfaces (2017)
The development of novel bioinspired surfaces with hierarchical micro- and nanoscale topographic structures for efficient capture and release of circulating tumor cells (CTCs) is reported. The capture of CTCs, facilitated by surface-immobilized epithelial cell adhesion molecule antibodies (anti-EpCAM), was shown to be significantly enhanced in novel three-dimensional hierarchically structured surfaces that were fabricated by replicating the natural micro- and nanostructures of rose petals. Under static conditions, these hierarchical capture substrates exhibited up to 6 times higher cell capture ability at concentrations of 100 cells mL-1 in contrast to flat anti-EpCAM-functionalized polydimethylsiloxane (PDMS) surfaces. As indicated by scanning electron microscopy (SEM) and immunofluorescent images, this enhancement can be in large part attributed to the topographical interaction between nanoscale cell surface components and nanostructures on the substrate. Similarly, the increased surface area affords a higher nominal coverage of anti-EpCAM, which increases the number of available binding sites for cell capture. By treating the substrates with the biocompatible reductant glutathione (GSH), up to 85% of the captured cells were released, which displayed over 98% cell viability after culturing on tissue culture polystyrene (TCP) for 24 h. Therefore, these bioinspired hierarchically structured and functionalized substrates can be successfully applied to capture CTCs, as well as release CTCs for subsequent analysis. These findings provide new prospects for designing cell-material interfaces for advanced cell-based biomedical studies in the future.
Keyphrases
- circulating tumor cells
- single cell
- circulating tumor
- cell adhesion
- cell therapy
- induced apoptosis
- electron microscopy
- biofilm formation
- cell surface
- high resolution
- healthcare
- deep learning
- magnetic resonance imaging
- quantum dots
- mesenchymal stem cells
- convolutional neural network
- cell cycle arrest
- ionic liquid
- staphylococcus aureus
- contrast enhanced
- amino acid