October 23, 2017  |  Announcements, Conferences, DROP, viSNE  |  By  |  0 Comments

Biomedical Engineering Society Conference Review: Using viSNE on Single-cell Image Data for Improved Characterization of Immunotherapeutic Stem Cells

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Recently at the Biomedical Engineering Society MeetingRoss Marklein from the FDA’s Center for Biologics Evaluation and Research (CBER), presented a poster using viSNE in Cytobank on single-cell image data to characterize the function of mesenchymal stem cells (MSCs) used for cell therapy in autoimmune disease.

Ross Marklein of the FDA Presents: Identification Of Immunosuppressive (IFNγ-Stimulated) MSC Morphological Subpopulations Using viSNE, A Tool For Visualizing Cellular Heterogeneity.

Ross Marklein of the FDA Presents: Identification Of Immunosuppressive (IFNγ-Stimulated) MSC Morphological Subpopulations Using viSNE, A Tool For Visualizing Cellular Heterogeneity.

Cell therapies, typically defined as medicinal products containing cells which are injected into a patient, have a variety of applications such as repairing damage to cells, tissues, or organs caused by injury, infection, or autoimmune disease. In particular, mesenchymal stem cells (MSCs) have shown promise as a potentially effective cellular treatment for autoimmune disease by performing immunosuppressive functions such as reduction of inflammation. However, a major challenge to this field of study includes a lack of well-established methods for effectively and comprehensively characterizing the function of these cell therapies. Such characterization is imperative in any cell therapy since manufactured cells can become ineffective or produce significant adverse effects.  

The authors of this poster previously developed functionally-relevant morphological profiling techniques using pooled data, which predicted immunosuppressive capacity (Marklein, RA et. al Stem Cells 2016; Klinker, MW, Marklein et al. PNAS 2017). At the BMES meeting, they presented their expansion of these methods to utilize single-cell data, using viSNE in Cytobank to identify morphologically unique mesenchymal stem cell (MSC) subpopulations that predicted immunosuppressive capacity of the MSCs. They believe this characterization approach could be superior to existing methods.

See the Abstract: Identification Of Immunosuppressive (IFNγ-Stimulated) MSC Morphological Subpopulations Using viSNE, A Tool For Visualizing Cellular Heterogeneity

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From: Identification Of Immunosuppressive (IFNγ-Stimulated) MSC Morphological Subpopulations Using viSNE, A Tool For Visualizing Cellular Heterogeneity

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