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 processes. Here we use a new, bead-based flow cytometric miRNA expression profiling method 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.
MicroRNA expression profiles classify human cancers
Autor(es):
Jun Lu 1, Gad Getz, Eric A Miska, Ezequiel Alvarez-Saavedra, Justin Lamb, David Peck, Alejandro Sweet-Cordero, Benjamin L Ebert, Raymond H Mak, Adolfo A Ferrando, James R Downing, Tyler Jacks, H Robert Horvitz, Todd R Golub
Patologia:
Análise de NON CORDING RNA e MicroRNA 12
Link do Artigo:
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Data de Criação:
17/05/2022
Data de Publicação:
09/06/2005