Method for selective quantification of adipose-derived stromal/stem cells in tissue
Author(s) -
Akira Nishimura,
Takeo Kumagai,
Masaru Nakatani,
Kotaro Yoshimura
Publication year - 2016
Publication title -
journal of biological methods
Language(s) - English
Resource type - Journals
ISSN - 2326-9901
DOI - 10.14440/jbm.2016.127
Subject(s) - adipose tissue , stromal cell , stromal vascular fraction , collagenase , dna methylation , stem cell , methylation , flow cytometry , chemistry , biomedical engineering , biology , computational biology , microbiology and biotechnology , dna , biochemistry , medicine , cancer research , gene expression , gene , enzyme
Fat grafts are valuable for soft-tissue regeneration and augmentation. However, fat graft systems require further improvement for the prediction of graft retention. The concentration of adipose-derived stromal/stem cells (ASCs) is one of the most important factors that affect graft retention; however, current cell quantification techniques have not been applied to adipose tissue. Here we developed a method for the selective quantification of ASCs in tissue (SQAT). We identified a characteristic methylated site in the CD31 promoter after searching for specific markers of ASCs. This DNA methylation was not detected in any cell type other than ASCs in adipose tissue. Therefore, analyzing this methylation may be a suitable approach for quantifying ASCs in tissues because DNA is readily extracted from tissues. SQAT is based on quantifying this methylation by quantitative polymerase chain reaction using methylation-sensitive HapII-treated DNA as the template. SQAT was validated based on the numbers of ASCs determined by CD31 − /CD34 + -based flow cytometry. The results obtained by both methods were perfectly correlated, thereby demonstrating that SQAT is a useful tool for quantifying ASCs. SQAT analysis using ASCs isolated from suctioned fat according to the standard protocol ( i.e. , collagenase treatment) showed that the yield of ASCs was 59% ± 21%, which suggests that the ASC isolation technique requires further improvement. Furthermore, SQAT is an excellent method for quantifying ASCs in arbitrary samples (particularly tissue), which could dramatically improve ASC isolation technologies and fat graft systems, thereby facilitating the prediction of graft retention.
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