MicroRNA expression profiles classify human cancers Export

@article{Lu05, abstract = {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 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.}, author = {Lu, Jun and Getz, Gad and Miska, Eric A. and Alvarez-Saavedra, Ezequiel and Lamb, Justin and Peck, David and Sweet-Cordero, Alejandro and Ebert, Benjamin L. and Mak, Raymond H. and Ferrando, Adolfo A. and Downing, James R. and Jacks, Tyler and Horvitz, H. Robert and Golub, Todd R.}, citeulike-article-id = {222952}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nature03702}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nature03702}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/15944708}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=15944708}, day = {09}, doi = {10.1038/nature03702}, issn = {0028-0836}, journal = {Nature}, keywords = {data, mouse, senior-project}, month = {June}, number = {7043}, pages = {834--838}, posted-at = {2008-11-20 20:59:01}, priority = {2}, publisher = {Nature Publishing Group}, title = {MicroRNA expression profiles classify human cancers}, url = {http://dx.doi.org/10.1038/nature03702}, volume = {435}, year = {2005} }

TY - JOUR ID - Lu05 L3 - citeulike-article-id:222952 N2 - 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 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. IS - 7043 JF - Nature SN - 0028-0836 EP - 838 TI - MicroRNA expression profiles classify human cancers PB - Nature Publishing Group VL - 435 SP - 834 KW - data KW - mouse KW - senior-project AU - Lu, Jun AU - Getz, Gad AU - Miska, Eric AU - Alvarez-Saavedra, Ezequiel AU - Lamb, Justin AU - Peck, David AU - Sweet-Cordero, Alejandro AU - Ebert, Benjamin AU - Mak, Raymond AU - Ferrando, Adolfo AU - Downing, James AU - Jacks, Tyler AU - Horvitz, Robert AU - Golub, Todd PY - 2005/06/09/ UR - http://dx.doi.org/10.1038/nature03702 ER -