Abstract
Over the last fifteen years DNA microarray analysis has yielded tremendous insight into the nature of cancer cell populations, leading to numerous advances in treatment strategies. However, it has become increasingly clear that these tumors are highly heterogeneous, with subsets of cancer stem cells believed to be responsible for the tumorigenic capacity of each parent population. Single cell gene expression analysis represents an attractive approach to investigate such complex cell populations for which the granularity afforded by traditional microarray-based analyses is generally insufficient.
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