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The cell‐surface proteome of cultured adipose stromal cells
Author(s) -
Donnenberg Albert D.,
Meyer E. Michael,
Rubin J. Peter,
Donnenberg Vera S.
Publication year - 2015
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.22682
Subject(s) - stromal cell , biology , cd90 , flow cytometry , proteome , cluster of differentiation , cd44 , cell culture , cell , microbiology and biotechnology , mesenchymal stem cell , cytometry , cancer research , bioinformatics , biochemistry , genetics
In this technical note we describe a method to evaluate the cell surface proteome of human primary cell cultures and cell lines. The method utilizes the BD Biosciences lyoplate, a system covering 242 surface proteins, glycoproteins, and glycosphingolipids plus relevant isotype controls, automated plate‐based flow cytometry, conventional file‐level analysis and unsupervised K‐means clustering of markers on the basis of percent of positive events and mean fluorescence intensity of positive and total clean events. As an example, we determined the cell surface proteome of cultured adipose stromal cells (ASC) derived from 5 independent clinical isolates. Between‐sample agreement of very strongly expressed ( n = 32) and strongly expressed ( n =16) markers was excellent, constituting a reliable profile for ASC identification and determination of functional properties. Known mesenchymal markers (CD29, CD44, CD73, CD90, CD105) were among the identified strongly expressed determinants. Among other strongly expressed markers are several that are potentially immunomodulatory including three proteins that protect from complement mediated effects (CD46, CD55, and CD59), two that regulate apoptosis (CD77 and CD95) and several with ectoenzymatic (CD10, CD26, CD13, CD73, and CD143) or receptor tyrosine kinase (CD140b (PDGFR), CD340 (Her‐2), EGFR) activity, suggesting mechanisms for the anti‐inflammatory and tissue remodeling properties of ASC. Because variables are standardized for K‐means clustering, results generated using this methodology should be comparable between instrumentation platforms. It is widely generalizable to human primary explant cultures and cells lines and will prove useful to determine how cell passage, culture interventions, and gene expression and silencing affect the cell‐surface proteome. © 2015 International Society for Advancement of Cytometry