Multicellular self-assembly on patterned surfaces

Controlling the spatial distribution of cells in two and three dimensions may be important in the design of advanced tissue engineering scaffolds and other biomedical applications. In this thesis, the concept of biophysical sorting was applied as a method to control the spatial distribution of cells. This approach relies on a self-assembly process that is dependent, in part, on the intrinsic adhesivity of cells. A model system was developed using a simple patterning technique to prepare surfaces with alternating regions that supported variable cell response. First, the influence of certain biophysical parameters that may govern multicellular assembly of a single cell type on patterned surfaces was quantitatively investigated. For surfaces patterned with small features that allow cells to sample surrounding regions through membrane protrusions, it was found that a dynamic equilibrium distribution of cells correlated with differen~es in cell-substratum adhesion strength. The approach to that distribution, however, could be kinetically limited by the inability of the individual cells to sample adjacent areas of the patterned surface. This kinetic limitation was studied on surfaces with increasingly large feature sizes, and found that a simple diffusion model of migration may not completely describe the present system. Other effects such as contact inhibited motility and an induction time for migration may also influence multicellular assembly. The potential of multicellular assembly to simultaneously control the distribution of two cell types was also investigated. First, the multicellular assembly of each cell type was studied in isolation. Co-culture experiments indicated that, in addition to the factors that govern the assembly of a single cell type, sorting of two cell types depended on cell density. Images of high cell density co-cultures suggest that incomplete biophysical separation was achieved.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Chemical Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2000

Author dc:creator

• Fujii, Jennifer T. (Jennifer Tomiko), 1972-

Advisor dc:contributor.advisor

• Linda G. Griffith.

• Chemical Engineering.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/8826

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/8826