Investigation of MSC potency metrics via integration of imaging modalities with lipidomic characterization

Mesenchymal stem/stromal cell (MSC) therapies have had limited success so far in clinical trials due in part to heterogeneity in immune-responsive phenotypes. Therefore, techniques to characterize these properties of MSCs are needed during biomanufacturing. Imaging cell shape, or morphology, has been found to be associated with MSC immune responsivity-but a direct relationship between single-cell morphology and function has not been established. We used label-free differential phase contrast imaging and matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to evaluate single-cell morphology and explore relationships with lipid metabolic immune response. In interferon gamma (IFN-γ)-stimulated MSCs, we found higher lipid abundances from the ceramide-1-phosphate (C1P), phosphatidylcholine (PC), LysoPC, and triglyceride (TAG) families that are involved in cell immune function. Furthermore, we identified differences in lipid signatures in morphologically defined MSC subpopulations. The use of single-cell optical imaging coupled with single-cell spatial lipidomics could assist in optimizing the MSC production process and improve mechanistic understanding of manufacturing process effects on MSC immune activity and heterogeneity.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2024-08-01
DOI
https://doi.org/10.1016/j.celrep.2024.114579
Citations
11
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
6.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of MSC potency metrics via integration of imaging modalities with lipidomic characterization

Kayvan F. Tehrani, Priyanka Priyadarshani, Facundo M. Fernández, Bhavay Aggarwal et al.
11 citations
Cell Reports
Cell Image Analysis Techniques
6.62
article

Investigation of MSC potency metrics via integration of imaging modalities with lipidomic characterization

Kayvan F. Tehrani, Priyanka Priyadarshani, Facundo M. Fernández, Bhavay Aggarwal, Luke J. Mortensen, Melissa Lambeth Kemp, Arina Nikitina, Kejie Rui, Adrian Ross Liversage, Steven L. Stice, Alexandria Van Grouw, Saurabh Sinha
article en
11 citations

Abstract

Mesenchymal stem/stromal cell (MSC) therapies have had limited success so far in clinical trials due in part to heterogeneity in immune-responsive phenotypes. Therefore, techniques to characterize these properties of MSCs are needed during biomanufacturing. Imaging cell shape, or morphology, has been found to be associated with MSC immune responsivity-but a direct relationship between single-cell morphology and function has not been established. We used label-free differential phase contrast imaging and matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to evaluate single-cell morphology and explore relationships with lipid metabolic immune response. In interferon gamma (IFN-γ)-stimulated MSCs, we found higher lipid abundances from the ceramide-1-phosphate (C1P), phosphatidylcholine (PC), LysoPC, and triglyceride (TAG) families that are involved in cell immune function. Furthermore, we identified differences in lipid signatures in morphologically defined MSC subpopulations. The use of single-cell optical imaging coupled with single-cell spatial lipidomics could assist in optimizing the MSC production process and improve mechanistic understanding of manufacturing process effects on MSC immune activity and heterogeneity.

Cell ReportsVol. 43(8)
Georgia Institute of Technology (US), University of Illinois Urbana-Champaign (US), University of Georgia (US), The Wallace H. Coulter Department of Biomedical Engineering (US)
Openalex Percentile: Top 4%
Cell Image Analysis Techniques
6.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.