| Literature DB >> 24473466 |
Alireza Dolatshahi-Pirouz1, Mehdi Nikkhah2, Akhilesh K Gaharwar3, Basma Hashmi4, Enrico Guermani2, Hamed Aliabadi2, Gulden Camci-Unal2, Thomas Ferrante5, Morten Foss6, Donald E Ingber4, Ali Khademhosseini7.
Abstract
Development of three dimensional (3D) microenvironments that direct stem cell differentiation into functional cell types remains a major challenge in the field of regenerative medicine. Here, we describe a new platform to address this challenge by utilizing a robotic microarray spotter for testing stem cell fates inside various miniaturized cell-laden gels in a systematic manner. To demonstrate the feasibility of our platform, we evaluated the osteogenic differentiation of human mesenchymal stem cells (hMSCs) within combinatorial 3D niches. We were able to identify specific combinations, that enhanced the expression of osteogenic markers. Notably, these 'hit' combinations directed hMSCs to form mineralized tissue when conditions were translated to 3D macroscale hydrogels, indicating that the miniaturization of the experimental system did not alter stem cell fate. Overall, our findings confirmed that the 3D cell-laden gel microarray can be used for screening of different conditions in a rapid, cost-effective, and multiplexed manner for a broad range of tissue engineering applications.Entities:
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Year: 2014 PMID: 24473466 PMCID: PMC3905276 DOI: 10.1038/srep03896
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Fabrication of 3D hMSC-laden gel microarray.
(a) A robotic microarray spotter was used to rapidly print droplets consisting of hMSCs, gelatin methacrylate (GE)-based prepolymer solution and various ECM proteins on TMSPMA functionalized glass slide. The printing step was followed by a 15 sec UV light exposure to form the miniaturized cell-laden constructs. Following printing, cell-laden gel microarrays were placed inside sealed chambers (Illustration made by Jeffrey Aarons). (b) Various combinations of ECM proteins and media formulations were used to conduct the microarrays experiments. The concentration of LN and FN was selected to be 40 μg/ml while OCN was printed at two concentrations of 20 μg/ml and 40 μg/ml. (c) Fluorescence images of the encapsulated proteins within the hydrogel constructs after 24 hours in solution. (d) hMSCs viability within 48 combinatorial 3D microenvironments in normal (control) media after 7 days of culture along with color-diagram displaying the quantified cell viability (n = 3–9).
Figure 2ALP expression within the 3D hMSC-laden gel microarray platform.
(a) Optical images of ALP expression of hMSCs within various 3D combinatorial microenvironments. (b) High magnification images indicating ALP expression inside the representative constructs. (c) Color-diagram representing the normalized ALP coverage within each 3D microenvironment. Groups with the same color code were not statically different from one another (n = 9–22) (d) The scaled estimates of major effects on ALP expression levels calculated using one-way ANOVA analysis.
Figure 3Microarray hit combinations stimulates early osteogenic differentiation of hMSCs within the macroscale GE gels.
(a) ALP expression after 7 and 14 days of culture. (b) Osteopontin (OPN) expression and DAPI staining of cell nuclei along with (c) quantified ALP activity after 7 and 14 days of culture (n = 7–15). (d) Quantification of the normalized OPN coverage after 14 days of culture (n = 9–15).
Figure 4Microarray hit combinations stimulates macroscale bone-mineralization.
(a) Formation of calcified matrix by hMSCs investigated using Alizarin Red S staining after 14 and 25 days of culture; white circles denotes regions of intensified Alizarin Red S staining. (b) Quantified amount of calcified matrix evaluated by Alizarin Red S content inside the hydrogels using a colorimetric assay (n = 4–8). (c) Raman spectra of the hydrogel constructs after 25 days of culture. (d) Unconfined mechanical testing to evaluate the compressive modulus (kPa) of the macroscale hydrogels upon formation of mineralized matrix (n = 4).