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BioMed Research International
Volume 2014 (2014), Article ID 187105, 11 pages
Research Article

Genome-Wide Uncovering of STAT3-Mediated miRNA Expression Profiles in Colorectal Cancer Cell Lines

1School of Life Science and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
2College of Engineering, South China Agricultural University, Guangzhou 510642, China
3Experimental Research Center, First People’s Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, China
4Biomedical Research Institute, Shenzhen PKU-HKUST Medical Center, No. 1120, Lianhua Road, Futian District, Shenzhen 518036, China

Received 31 December 2013; Accepted 19 June 2014; Published 13 July 2014

Academic Editor: Zhifan Jia

Copyright © 2014 Jufeng Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Colorectal cancer (CRC) is one of the most common malignancies resulting in high mortality worldwide. Signal transducer and activator of transcription 3 (STAT3) is an oncogenic transcription factor which is frequently activated and aberrantly expressed in CRC. MicroRNAs (miRNAs) are a class of small noncoding RNAs which play important roles in many cancers. However, little is known about the global miRNA profiles mediated by STAT3 in CRC cells. In the present study, we applied RNA interference to inhibit STAT3 expression and profiled the miRNA expression levels regulated by STAT3 in CRC cell lines with deep sequencing. We found that 26 and 21 known miRNAs were significantly overexpressed and downexpressed, respectively, in the STAT3-knockdown CRC cell line SW480 (SW480/STAT3-siRNA) compared to SW480 transfected with scrambled siRNAs (SW480/siRNA-control). The miRNA expression profiling was then validated by quantitative real-time PCR for selected known miRNAs. We further predicted the putative target genes for the dysregulated miRNAs and carried out functional annotation including GO enrichment and KEGG pathway analysis for selected miRNA targets. This study directly depicts STAT3-mediated miRNA profiles in CRC cells, which provides a possible way to discover biomarkers for CRC therapy.