Engineering complex tissue-like microgel arrays for evaluating stem cell differentiation

• Published in: Scientific reports Vol. 6; no. 1; p. 30445
• Main Authors: Guermani, Enrico, Shaki, Hossein, Mohanty, Soumyaranjan, Mehrali, Mehdi, Arpanaei, Ayyoob, Gaharwar, Akhilesh K., Dolatshahi-Pirouz, Alireza
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 28.07.2016; Nature Publishing Group
• Subjects: 13/100; 13/107; 49/47; 49/61; 631/61/2035; 631/61/54; Cell Differentiation; Cell Movement; Cell Survival; Humanities and Social Sciences; Humans; Hydrogels - chemistry; Mesenchymal Stromal Cells - cytology; multidisciplinary; Printing, Three-Dimensional; Science; Tissue Engineering - methods
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/srep30445

Development of tissue engineering scaffolds with native-like biology and microarchitectures is a prerequisite for stem cell mediated generation of off-the-shelf-tissues. So far, the field of tissue engineering has not full-filled its grand potential of engineering such combinatorial scaffolds for engineering functional tissues. This is primarily due to the many challenges associated with finding the right microarchitectures and ECM compositions for optimal tissue regeneration. Here, we have developed a new microgel array to address this grand challenge through robotic printing of complex stem cell-laden microgel arrays. The developed microgel array platform consisted of various microgel environments that where composed of native-like cellular microarchitectures resembling vascularized and bone marrow tissue architectures. The feasibility of our array system was demonstrated through localized cell spreading and osteogenic differentiation of human mesenchymal stem cells (hMSCs) into complex tissue-like structures. In summary, we have developed a tissue-like microgel array for evaluating stem cell differentiation within complex and heterogeneous cell microenvironments. We anticipate that the developed platform will be used for high-throughput identification of combinatorial and native-like scaffolds for tissue engineering of functional organs.