Detail
Experiment ID:
EXP00024
Reference:
- Title: MicroRNA expression profiles classify human cancers.
- Author: Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, Sweet-Cordero A, Ebert BL, Mak RH, Ferrando AA, Downing JR, Jacks T, Horvitz HR, Golub TR
- Journal: Nature.2005 Jun 09;435(7043):834-8.doi:10.1038/nature03702.
- 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 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.
- PMID: 15944708
Expression Profile:
Design and Sample:
- Cancer Type:breast cancer
- Cancer SubType:N/A
- Cell Line:N/A
- Experimental Design:high grade vs low grade
- Case Sample:poorly differentiated breast tumour
- Control Sample:breast tumour
- Num of Case:5
- Num of Control:6
- Quantification Software:Limma
- Num of miRNAs:164
Identification:
- Num of Up:6
- Num of Down:9
Time Info:
- Create Time2016-03-14
- Update Time:2021-05-27
Status:
| miRNA ID | Cancer Type | Design | logFC | AveExpr | T value | P value | adj Pvalue | Status | Plot |
|---|