4.8 Article

The use of agarose microwells for scalable embryoid body formation and cardiac differentiation of human and murine pluripotent stem cells

Journal

BIOMATERIALS
Volume 34, Issue 10, Pages 2463-2471

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2012.12.024

Keywords

Agarose; Soft lithography; Microwell; Pluripotent stem cells; Embryoid body; Cardiomyogenic differentiation

Funding

  1. Cluster of Excellence REBIRTH [DFG EXC 62/1]
  2. National Health and Medical Research Foundation (NHMRC) of Australia
  3. Qatar National Research Fund (QNRF)

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In most pluripotent stem cell differentiation protocols the formation of embryoid bodies (EBs) is an important step. Here we describe a rapid, straightforward soft lithography approach for the preparation of hydrophilic silicon masters from different templates and the subsequent production of patterned agarose-DMEM microwell surfaces for scalable well standardized stem cell aggregation and EB formation. The non-adhesive agarose microwell plates represent an accurate replication of the templates' topography and were used for aggregation of murine induced pluripotent stem cells (iPSCs) and human embryonic stem cells (ESCs). Direct microscopic assessment by time-lapse analysis demonstrated rapid formation of uniformly shaped EBs from murine iPSCs with similar or even more consistent results concerning size distribution and harvesting efficiency compared to the commonly used but time-consuming hanging drop technique. For human ESCs, homogenous aggregates were obtained after single cell inoculation on agarose microwells with efficient differentiation into the cardiac lineage using state-of-the-art protocols for directed differentiation via small molecules. With this soft lithography-based strategy, sufficient and reproducible numbers of stem cell-derived cardiomyocytes necessary for tissue engineering purposes can be realized in a highly controllable manner. Moreover, it might be useful for different cell types in any application that requires scalable and highly standardized aggregation. (C) 2013 Elsevier Ltd. All rights reserved.

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