Effect of Substrate Topography and Chemistry on Human Mesenchymal Stem Cell Markers: A Transcriptome Study
- Author:
Bo ZHANG
1
;
Naresh KASOJU
;
Qiongfang LI
;
Jinmin MA
;
Aidong YANG
;
Zhanfeng CUI
;
Hui WANG
;
Hua YE
Author Information
- Publication Type:Original Article
- Keywords: Human mesenchymal stromal cells; Surface markers; Cell biomaterial interactions; Next generation sequencing; Quality control; Regenerative medicine
- MeSH: Biomarkers; Chemistry; Gene Expression; Humans; Mesenchymal Stromal Cells; Quality Control; Regenerative Medicine; Sequence Analysis, RNA; Surface Properties; Transcriptome
- From:International Journal of Stem Cells 2019;12(1):84-94
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND AND OBJECTIVES: The International Society for Cellular Therapy (ISCT) proposed a set of minimal markers for identifying human mesenchymal stromal cells (hMSCs) in 2007. Since then, with the growing interest of better characterising hMSCs, various additional surface markers have been proposed. However, the impact of how culture conditions, in particular, the culture surface, vary the expression of hMSC markers was overlooked. METHODS AND RESULTS: In this study, we utilized the RNA sequencing data on hMSCs cultured on different surfaces to investigate the variation of the proposed hMSC biomarkers. One of the three ISCT proposed positive biomarker, CD90 was found to be significantly down regulated on hMSCs culture on fibrous surfaces when compared to flat surfaces. The detected gene expression values for 177 hMSCs biomarkers compiled from the literature are reported here. Correlation and cluster analysis revealed the existence of different biomarker communities that displayed a similar expression profile. We found a list of hMSCs biomarkers which are the least sensitive to a change in surface properties and another list of biomarkers which are found to have high sensitivity to a change in surface properties. CONCLUSIONS: This study demonstrated that substrate properties have paramount effect on altering the expressions of hMSCs biomarkers and the proposed list of substrate-stable and substrate-sensitive biomarkers would better assist in the population characterisation. However, proteomic level analysis would be essential to confirm the observations noted.
