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Recent work has revealed the existence of a class of small non-
coding RNA species, known as microRNAs (miRNAs), which
have critical functions across various biological processes1,2
.
Here we use a new, bead-based flow cytometricmiRNA expression
profilingmethod to present a systematic expression analysis of 217
mammalian miRNAs from 334 samples, including multiple
human cancers. The miRNA profiles are surprisingly informative,
reflecting the developmental lineage and differentiation state of
the tumours. We observe a general downregulation of miRNAs in
tumours compared with normal tissues. Furthermore, we were
able to successfully classify poorly differentiated tumours using
miRNA expression profiles, whereas messenger RNA profiles were
highly inaccurate when applied to the same samples. These
findings highlight the potential of miRNA profiling in cancer
diagnosis.
