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Background aims. Multipotent stromal cells, also called mesenchymal stromal cells (MSCs), are potentially valuable as a cellular therapy because of their differentiation and immunosuppressive properties. As the result of extensive heterogeneity of MSCs, quantitative approaches to measure differentiation capacity between donors and passages on a per-cell basis are needed. Methods. Human bone marrow-derived MSCs were expanded to passages P3, P5 and P7 from eight different donors and were analyzed for colony-forming unit capacity (CFU), cell size, surface marker expression and forward/side-scatter analysis by flow cytometry. Adipogenic differentiation potential was quantified with the use of automated microscopy. Percentage of adipogenesis was determined by quantifying nuclei and Nile red-positive adipocytes after automated image acquisition. Results. MSCs varied in expansion capacity and increased in average cell diameter with passage. CFU capacity decreased with passage and varied among cell lines within the same passage. The number of adipogenic precursors varied between cell lines, ranging from 0.5% to 13.6% differentiation at P3. Adipogenic capacity decreased significantly with increasing passage. MSC cell surface marker analysis revealed no changes caused by passaging or donor differences. Conclusions. We measured adipogenic differentiation on a per-cell basis with high precision and accuracy with the use of automated fluorescence microscopy. We correlated these findings with other quantitative bioassays to better understand the role of donor variability and passaging on CFU, cell size and adipogenic differentiation capacity in vitro. These quantitative approaches provide valuable tools to measure MSC quality and measure functional biological differences between donors and cell passages that are not revealed by conventional MSC cell surface marker analysis. [ABSTRACT FROM AUTHOR]

Highlights • Distinct MSC morphological subpopulations can be identified using viSNE. • IFN-γ-stimulated subpopulation content can predict MSC suppression of T cells. • Subpopulation cell number predicts suppression in additional manufactured MSCs. • Dynamic morphological profiling reveals IFN-γ response for different subpopulations. Abstract Background Although a preponderance of pre-clinical data demonstrates the immunosuppressive potential of mesenchymal stromal cells (MSCs), significant heterogeneity and lack of critical quality attributes (CQAs) based on immunosuppressive capacity likely have contributed to inconsistent clinical outcomes. This heterogeneity exists not only between MSC lots derived from different donors, tissues and manufacturing conditions, but also within a given MSC lot in the form of functional subpopulations. We therefore explored the potential of functionally relevant morphological profiling (FRMP) to identify morphological subpopulations predictive of the immunosuppressive capacity of MSCs derived from multiple donors, manufacturers and passages. Methods We profiled the single-cell morphological response of MSCs from different donors and passages to the functionally relevant inflammatory cytokine interferon (IFN)-γ. We used the machine learning approach visual stochastic neighbor embedding (viSNE) to identify distinct morphological subpopulations that could predict suppression of activated CD4+ and CD8+ T cells in a multiplexed quantitative assay. Results Multiple IFN-γ–stimulated subpopulations significantly correlated with the ability of MSCs to inhibit CD4+ and CD8+ T-cell activation and served as effective CQAs to predict the immunosuppressive capacity of additional manufactured MSC lots. We further characterized the emergence of morphological heterogeneity following IFN-γ stimulation, which provides a strategy for identifying functional subpopulations for future single-cell characterization and enrichment techniques. Discussion This work provides a generalizable analytical platform for assessing functional heterogeneity based on single-cell morphological responses that could be used to identify novel CQAs and inform cell manufacturing decisions. [ABSTRACT FROM AUTHOR]

Human mesenchymal stromal cell (MSC) lines can vary significantly in their functional characteristics, and the effectiveness of MSC-based 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. [ABSTRACT FROM AUTHOR]