1. A 3D micro-printed single cell micro-niche with asymmetric niche signals - An in vitro model for asymmetric cell division study.
- Author
-
Huang N and Chan BP
- Subjects
- Animals, Mice, Asymmetric Cell Division, Mouse Embryonic Stem Cells cytology, Mouse Embryonic Stem Cells metabolism, Extracellular Matrix metabolism, Stem Cell Niche physiology, Printing, Three-Dimensional
- Abstract
Intricate microenvironment signals orchestrate to affect cell behavior and fate during tissue morphogenesis. However, the underlying mechanisms on how specific local niche signals influence cell behavior and fate are not fully understood, owing to the lack of in vitro platform able to precisely, quantitatively, spatially, and independently manipulate individual niche signals. Here, microarrays of protein-based 3D single cell micro-niche (3D-SCμN), with precisely engineered biophysical and biochemical niche signals, are micro-printed by a multiphoton microfabrication and micropatterning technology. Mouse embryonic stem cell (mESC) is used as the model cell to study how local niche signals affect stem cell behavior and fate. By precisely engineering the internal microstructures of the 3D SCμNs, we demonstrate that the cell division direction can be controlled by the biophysical niche signals, in a cell shape-independent manner. After confining the cell division direction to a dominating axis, single mESCs are exposed to asymmetric biochemical niche signals, specifically, cell-cell adhesion molecule on one side and extracellular matrix on the other side. We demonstrate that, symmetry-breaking (asymmetric) niche signals successfully trigger cell polarity formation and bias the orientation of asymmetric cell division, the mitosis process resulting in two daughter cells with differential fates, in mESCs., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: N.H. and B.P.C. are inventors of a patent associated with this work., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
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