间充质干细胞
CD8型
间质细胞
生物
计算生物学
细胞因子
免疫抑制
细胞
免疫系统
免疫学
T细胞
细胞生物学
癌症研究
遗传学
作者
Ross A. Marklein,Matthew W. Klinker,Katherine Drake,Hannah G. Polikowsky,Elizabeth C. Lessey-Morillon,Steven R. Bauer
出处
期刊:Cytotherapy
[Elsevier]
日期:2019-01-01
卷期号:21 (1): 17-31
被引量:55
标识
DOI:10.1016/j.jcyt.2018.10.008
摘要
BackgroundAlthough 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.MethodsWe 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.ResultsMultiple 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.DiscussionThis 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.
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