
Microenvironments Engineered by Inkjet Bioprinting Spatially Direct Adult Stem Cells Toward Muscle‐ and Bone‐Like Subpopulations
Author(s) -
Phillippi Julie A.,
Miller Eric,
Weiss Lee,
Huard Johnny,
Waggoner Alan,
Campbell Phil
Publication year - 2008
Publication title -
stem cells
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.159
H-Index - 229
eISSN - 1549-4918
pISSN - 1066-5099
DOI - 10.1634/stemcells.2007-0520
Subject(s) - microbiology and biotechnology , biology , stem cell , regenerative medicine , myogenesis , extracellular matrix , cellular differentiation , neurosphere , bone morphogenetic protein 2 , tissue engineering , adult stem cell , myocyte , in vitro , biochemistry , genetics , gene
In vivo, growth factors exist both as soluble and as solid‐phase molecules, immobilized to cell surfaces and within the extracellular matrix. We used this rationale to develop more biologically relevant approaches to study stem cell behaviors. We engineered stem cell microenvironments using inkjet bioprinting technology to create spatially defined patterns of immobilized growth factors. Using this approach, we engineered cell fate toward the osteogenic lineage in register to printed patterns of bone morphogenetic protein (BMP) 2 contained within a population of primary muscle‐derived stem cells (MDSCs) isolated from adult mice. This patterning approach was conducive to patterning the MDSCs into subpopulations of osteogenic or myogenic cells simultaneously on the same chip. When cells were cultured under myogenic conditions on BMP‐2 patterns, cells on pattern differentiated toward the osteogenic lineage, whereas cells off pattern differentiated toward the myogenic lineage. Time‐lapse microscopy was used to visualize the formation of multinucleated myotubes, and immunocytochemistry was used to demonstrate expression of myosin heavy chain (fast) in cells off BMP‐2 pattern. This work provides proof‐of‐concept for engineering spatially controlled multilineage differentiation of stem cells using patterns of immobilized growth factors. This approach may be useful for understanding cell behaviors to immobilized biological patterns and could have potential applications for regenerative medicine. Disclosure of potential conflicts of interest is found at the end of this article.