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Potency Analysis of Mesenchymal Stromal Cells Using a Phospho‐STAT Matrix Loop Analytical Approach
Author(s) -
Chinnadurai Raghavan,
Rajakumar Augustine,
Schneider Andrew J.,
Bushman Wade A.,
Hematti Peiman,
Galipeau Jacques
Publication year - 2019
Publication title -
stem cells
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.159
H-Index - 229
eISSN - 1549-4918
pISSN - 1066-5099
DOI - 10.1002/stem.3035
Subject(s) - mesenchymal stem cell , biology , peripheral blood mononuclear cell , stat protein , stat1 , stat3 , bone marrow , stromal cell , immunology , microbiology and biotechnology , cancer research , phosphorylation , in vitro , biochemistry
Potency assays for mesenchymal stromal cells (MSCs) need to be defined in advanced clinical trials. Here, we have developed an assay matrix approach that captures the signal transducer and activator of transcription (STAT) phosphorylation of MSCs upon stimulation with their combined secretome that arose with the interaction of activated peripheral blood mononuclear cells (PBMCs). Secretome of heat‐inactivated (HI) MSCs cocultured with and without activated PBMCs was used as an internal reference. We have compared the short‐term phosphorylation status of STAT1, STAT3, STAT4, STAT5, and STAT6 on MSCs derived from human bone marrow, adipose tissue, and umbilical cord using phosflow technology. Secretome of live MSCs cocultured with activated PBMCs downregulate STAT1 and STAT3 phosphorylation on MSCs, whereas the secretome of HI‐MSCs or PBMCs do not. Thus, investigation of the combined secretome of MSC and PBMC interaction on MSCs determine the potency of MSCs as the generator and sensor of the secretome. Bone marrow, adipose, and umbilical cord MSCs are comparable in modulating STAT1 and STAT3 responses. Measurements of STAT1 and STAT3 phosphorylation on MSCs as responder cells correlate and predict allogeneic T‐cell suppression. Our comparative phosphomatrix approach between live and reference HI‐MSCs defines the potency of MSCs as both stimulators and responders as part of a robust platform for predictive potency analysis. Stem Cells 2019;37:1119–1125

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