Human mesenchymal stromal cell (MSC) lines can vary significantly in their functional characteristics, and the effectiveness of MSCbased therapeutics may be realized by finding predictive features associated with MSC function. To identify features associated with immunosuppressive capacity in MSCs, we developed a robust in vitro assay that uses principal-component analysis to integrate multidimensional flow cytometry data into a single measurement of MSC-mediated inhibition of T-cell activation. We used this assay to correlate single-cell morphological data with overall immunosuppressive capacity in a cohort of MSC lines derived from different donors and manufacturing conditions. MSC morphology after IFN-γ stimulation significantly correlated with immunosuppressive capacity and accurately predicted the immunosuppressive capacity of MSC lines in a validation cohort. IFN-γ enhanced the immunosuppressive capacity of all MSC lines, and morphology predicted the magnitude of IFN-γ-enhanced immunosuppressive activity. Together, these data identify MSC morphology as a predictive feature of MSC immunosuppressive function.H uman mesenchymal stromal cells (MSCs) can potently suppress immune responses in vitro and in animal models of human disease (1, 2), but to date MSC-based therapies have produced mixed results in clinical trials for treatment of inflammatory and autoimmune diseases (3, 4). A major challenge in the development of consistently effective MSC-based immunosuppressive therapies is that MSC lines derived from different donors and manufacturing processes (i.e., cell expansion) can possess markedly dissimilar immunosuppressive function (3,5,6). Although methods exist to assess MSC immunosuppression in vitro, they are often based on only a few measured outcomes, assay culture conditions, and donor MSC samples (5, 7-9). To improve upon these methods, we developed an experimental and analytical approach to quantify MSC-mediated immune suppression using principal-component analysis (PCA) to integrate multiple measurements of T-cell activation assessed at a range of MSC densities. This approach allowed us to determine a single value for immunosuppressive capacity for MSC lines derived from two different manufacturing processes and 13 independent donors.Another major challenge associated with MSC-based immune therapies is the lack of well-defined predictive markers to identify MSC lines with therapeutically relevant biological activities or manufacturing processes that produce more effective MSCbased products. Efforts have been made to identify MSC quality attributes associated with immunosuppression (6, 7), but the majority of clinical studies (10) rely upon the surface markers described by Dominici et al. (11). Having previously shown that morphology can predict MSC mineralization capacity (12), we hypothesized that morphological features associated with immunosuppression in MSCs could be identified and used to predict their performance in our quantitative immunosuppression assay.Using our quantitative method for as...
Human bone marrow-derived multipotent mesenchymal stromal cells, often referred to as mesenchymal stem cells (MSCs), represent an attractive cell source for many regenerative medicine applications due to their potential for multi-lineage differentiation, immunomodulation, and paracrine factor secretion. A major complication for current MSC-based therapies is the lack of well-defined characterization methods that can robustly predict how they will perform in a particular in vitro or in vivo setting. Significant advances have been made with identifying molecular markers of MSC quality and potency using multivariate genomic and proteomic approaches, and more recently with advanced techniques incorporating high content imaging to assess highdimensional single cell morphological data. We sought to expand upon current methods of high dimensional morphological analysis by investigating whether short term cell and nuclear morphological profiles of MSCs from multiple donors (at multiple passages) correlated with long term mineralization upon osteogenic induction. Using the combined power of automated high content imaging followed by automated image analysis, we demonstrated that MSC morphology after 3 days was highly correlated with 35 day mineralization and comparable to other methods of MSC osteogenesis assessment (such as alkaline phosphatase activity). We then expanded on this initial morphological characterization and identified morphological features that were highly predictive of mineralization capacities (>90% accuracy) of MSCs from additional donors and different manufacturing techniques using linear discriminant analysis. Together, this work thoroughly demonstrates the predictive power of MSC morphology for mineralization capacity and motivates further studies into MSC morphology as a predictive marker for additional in vitro and in vivo responses. STEM CELLS 2016;34:935-947 SIGNIFICANCE STATEMENTThis article presents a new approach to assess the quality of mesenchymal stem cells (MSCs) for a given osteogenic assay, as well as a means to compare the effects of different culturing and isolation techniques on MSC behavior. This automated, high content imaging approach could be used to compare characteristics of MSC lots from different laboratories and potentially identify morphological signatures that effectively predict their performance in an osteogenesis bioassay. Furthermore, this article highlights the necessity for quantifying multiple osteogenic assay outcomes as simply gene expression and alkaline phosphatase activity alone were found to be highly variable and poorly correlated with more long term, mature MSC osteogenesis based on the extent of mineralization.
Bone marrow-derived multipotent stromal cells (MSCs), also known as mesenchymal stem cells, have great promise due to their capacity for tri-lineage differentiation and immunosuppressive properties, which allows for their allogeneic use and ultimately may allow for treatment of many diseases. MSCs will require extensive expansion and passaging to obtain cells in sufficient numbers necessary for cell therapies. MSCs from many donors could potentially be used. Because of this, there is a need to understand the role of passaging and donor differences on differentiation capacity using quantitative approaches. Here, we evaluated MSCs from two donors (noted as PCBM1632 and PCBM1641 by the manufacturer) at tissue culture passages 3, 5, and 7. We used a colony forming unit (CFU) assay and limiting dilution to quantify clonogenicity and precursor frequency during adipogenesis, and quantitative real-time-polymerase chain reaction for adipogenic markers to evaluate changes on a gene expression level. Further, we observed changes in cell size, and we sorted small and large populations to evaluate size-related adipogenic potential. While the adipogenic precursor frequency of ∼1 in 76 cells remained similar through passages for cells from PCBM1641, we found a large decrease in the adipogenic potential of MSCs from PCBM1632, with 1 in 2035 cells being capable of differentiating into an adipocyte at passage 7. MSCs from both donors showed an increase in cell diameter with increasing passage, which correlates with a decrease in clonogenicity by CFU analysis. We also measured adipose lineage gene expression following induction of adipocyte differentiation. Expression of these genes decreased with passage number for MSCs from PCBM1632 and correlated with the decrease in adipogenic potential by passage 7. In contrast, MSCs from PCBM1641 showed increased expression of these genes with increasing passage. We have shown that several quantitative assays can detect differences in MSC differentiation capacity, clonogenicity, and cell size between donors and passages. These quantitative methods are useful to assess the quality of MSCs.
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