(789d) Spatio-Temporal Cell Micro-Patterning with Photo-Cleavable Poly(ethyleneglycol)-Lipid | AIChE

(789d) Spatio-Temporal Cell Micro-Patterning with Photo-Cleavable Poly(ethyleneglycol)-Lipid

Authors 

Yamaguchi, S. - Presenter, The University of Tokyo
Yamahira, S., The University of Tokyo
Sumaru, K., National Institute of Advanced Industrial Science and Technology
Kanamori, T., National Institute of Advanced Industrial Science and Technology


Photo-regulated micro-patterning of living cells is a promising technique for tissue engineering and cell microarray. However, all reported methods are based on cellular adhesiveness. This is why conventional patterning methods are not applicable to non-adherent cells, which include many biologically and medicinally important cells such as blood cells and a part of cancer and stem cells. The objective of this study is to expand the application range of a micro-patterning technique. We have previously reported that any types of cells can be effectively immobilized on the surfaces modified with PEG-lipids. In this study, we newly synthesized a photo-cleavable PEG-lipid by incorporating a photo-cleavable linker between the PEG and lipid units. This PEG-lipid was successively confirmed to be digested by irradiation of UV light with wave length of 365 nm. When UV light above 1 J/cm2 was irradiated on the surface modified PEG-lipid, cells didn’t attach on the irradiated area, whereas cells attached on the unirradiated area. Furthermore, the micro-patterns of any types of cells such as dot, line and symbolic patterns were easily prepared by irradiating UV light on PEG-lipid modified surfaces. In addition, the patterned cells were confirmed to be alive and be abele to be cultured. Furthermore, the targeted cell spots of a cell microarray were specifically released from the substrate by irradiating some spots of UV lights. Thus, the present photo-cleavable PEG-lipid is useful for spatio-temporally manipulating any types of cells on the substrate and is a promising tool for cell sorting on a single cell array after high-content cell analysis.
See more of this Session: Spatially Patterned Biomaterials

See more of this Group/Topical: Materials Engineering and Sciences Division