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High-throughput approach to select subpopulations of multipotent cells for regenerative medicine

Rapid, large-scale screening to characterize the different subpopulations of multipotent cells that can be derived from fat tissue is an effective strategy to identify and select for specific cell types that would be advantageous for particular therapeutic applications in regenerative medicine and .

The use of to determine the expression of a defined set of markers on the surface of human adipose-derived (hASCs) is described in an article in Tissue Engineering, Part A, a peer-reviewed journal from , , publishers. The article is available free on the Tissue Engineering website until August 23, 2015.

Michael Longaker, MD, MBA and coauthors, Stanford University School of Medicine (California), developed a comprehensive surface marker profile of undifferentiated (hASCs) using flow cytometry. They compared this to surface marker profiles for hASCs that have undergone differentiation to bone (osteogenic) or fat (adipogenic) cell lineages. The researchers describe these studies and identify which surface markers increase or decrease with osteogenic and adipogenic differentiation in the article “High-Throughput Screening of Surface Marker Expression on Undifferentiated and Differentiated Human Adipose-Derived Stromal Cells.”

“Flow cytometry is a well established tool for the separation of cells on the basis of their size and surface markers,” says Peter C. Johnson, MD, Vice President, Research and Development and Medical Affairs, Vancive Medical Technologies and President and CEO, Scintellix, LLC, Raleigh, NC. “This marriage of flow cytometry with the identification of regenerative cell subpopulations will likely prove to be very useful to a broad range of researchers in the field.”

Source

High-Throughput Screening of Surface Marker Expression on Undifferentiated and Differentiated Human Adipose-Derived Stromal Cells Walmsley Graham G., Atashroo David A., Maan Zeshaan N., Hu Michael S., Zielins Elizabeth R., Tsai Jonathan M., Duscher Dominik, Paik Kevin, Tevlin Ruth, Marecic Owen, Wan Derrick C., Gurtner Geoffrey C., and Longaker Michael T.. Tissue Engineering Part A. doi:10.1089/ten.tea.2015.0039.

Mary Ann Liebert, Inc./Genetic Engineering News