返回
Engineered topographical structure to control spatial cell density using cell migration
DOI:10.1007/s10544-019-0447-0.png)
摘要
En 中文
Control of the spatial distribution of various cell types is required to construct functional tissues. Here, we report a simple topographical structure changed the spatial cell density. A concave curved boundary was designed, which allowed the spatial descent moving of cells and the change in spatial distributions of co-cultured cells. We utilized the difference in cell motility between myoblast cells (C2C12) and neuronal cells (PC12) to demonstrate the feasibility of spontaneous change in spatial cell density. Without the curved boundaries, high motility cells (C2C12) did not migrate to the adjacent area, which resulted in a slight temporal change (< 15%) in the spatial cell distribution. In contrast, with the curved boundaries, the cell density of the high motility cells in the groove to those cells on the ridge showed an increase exceeding 45%. On the other hand, the temporal change in the spatial cell distribution of low motility cells (PC12) was below 15% with or without the curved boundaries. In addition, as groove width increased, both cells displayed more initially gathering in groove. Importantly, these cell-type dependent results were also maintained under co-culture conditions. Our results suggest that designing topographical interfaces changes spatial cell density without any manipulation and is useful for multi-cellular constructs.
Keyword:
Cell descent phenomenon
Cell migrational difference
Spatial cell density
Topographical structure
期刊
IF:
3.3
论文数:
2.1K
被引数:
3.4K
机构
引用论文
Controlling Spatial Organization of Multiple Cell Types in Defined 3D Geometries
ADVANCED MATERIALS
IF26.8
Myoblast alignment and differentiation on cell culture substrates with microscale topography and model chemistries
BIOMATERIALS
IF12.9
Fabrication of transferable micropatterned-co-cultured cell sheets with microcontact printing
BIOMATERIALS
IF12.9
The physics of cancer: the role of physical interactions and mechanical forces in metastasis癌症物理学: 物理相互作用和机械力在转移中的作用
NATURE REVIEWS CANCER
IF66.8
Mechanical Gradient Cues for Guided Cell Motility and Control of Cell Behavior on Uniform Substrates
A Novel End-to-End Deep Learning Framework for Chip Packaging Defect Detection一种用于芯片封装缺陷检测的新型端到端深度学习框架
Sensors
IF0

