The heterogeneous nature of stem cell populations is not yet fully understood and remains a major impediment to the development of clinically effective stem cell-based therapeutic applications. One of the most common ways to characterize a heterogeneous population of stem cells is to employ a cell sorting method, such as fluorescence-activated cell sorting (FACS), to separate cells based on their surface marker expression profiles. As sorting methods become more complex, it becomes possible to identify more distinct functional subpopulations of cells. Microfluidic-based technologies are becoming more and more frequently utilized in analysis of gene expression at the single cell level. Multiplexed quantitative polymerase chain reaction (qPCR) within a microfluidic chip allows for effective and reliable high-resolution, single cell transcriptional analysis.1-5
In a previous study using single cell transcriptional profiling of 48 genes, considerable transcriptional heterogeneity was observed among ASCs.6 However, the distribution of genes MSX2, BMP-5, BMP-7, ALP, OCN, RUNX2 exhibited a strong association with a cluster of cells possessing highly osteogenic transcriptional profiles. To isolate cells according to this osteogenic gene expression profile, surface antigen expression patterns were correlated with transcription patterns and surface marker expression of endoglin (CD105) was subsequently discovered to closely correlate with enhanced osteogenic differentiation potential of ASCs. Independent of CD105 expression, expression of surface receptor Thy-1 (CD90), a glycosyl-phosphatidylinositol-linked membrane protein previously shown by Chen et al. to be associated with osteoprogenitor cells, was also correlated with osteogenic gene expression.6,7 These findings provide the opportunity to prospectively isolate subpopulations within the larger heterogeneous pool of ASCs with increased osteogenic capacity for cell-based bone tissue engineering applications.