| Author |
Choi, Sun Shim Han, Seon-Sook Lee, Jae Seung Rhee, Hwanseok Oh, Yeon-Mok Kim, Woo Jin Shin, Seung-Ho Park, Jung Hoon Lee, Hui-Young |
| Description |
Author Affiliation: Lee HY ( Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon-si, Gangwon-do 200-722, Republic of Korea.); Han SS ( Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon-si, Gangwon-do 200-722, Republic of Korea.); Rhee H ( Macrogen Bioinformatics Center, Macrogen, Seoul 153-023, Republic of Korea.); Park JH ( Macrogen Bioinformatics Center, Macrogen, Seoul 153-023, Republic of Korea.); Lee JS ( Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.); Oh YM ( Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.); Choi SS ( Department of Medical Biotechnology, College of Biomedical Science and Institute of Bioscience and Biotechnology, Kangwon National University, Chuncheon-si, Gangwon-do 200-701, Republic of Korea.); Shin SH ( Department of Medical Biotechnology, College of Biomedical Science and Institute of Bioscience and Biotechnology, Kangwon National University, Chuncheon-si, Gangwon-do 200-701, Republic of Korea.); Kim WJ ( Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon-si, Gangwon-do 200-722, Republic of Korea.) |
| Abstract |
MicroRNAs (miRNAs) are singlestranded RNA species that constitute a class of noncoding RNAs, and are emerging as key regulators of gene expression. Since each miRNA is capable of regulating multiple genes, miRNAs are attractive markers for studies of coordinated gene expression. In this study, we investigated miRNA expression profiling using a massively parallel sequencing technique to compare nonsmallcell lung cancer (NSCLC) tissue and normal lung tissue. Lung cancer tissue and normal lung tissue were obtained from nine NSCLC patients. RNA isolated from these samples was processed using RNA sequencing (RNA Seq) and the HiSeq 2000 system. Differentially expressed miRNAs and mRNAs were analyzed using a ttest. We selected target pairs that showed a negative correlation among significantly differentially expressed miRNAs and their putative target mRNAs using miRBase Targets. The differences in the expression levels of 222 miRNAs and 1,597 genes were statistically significant, as indicated by an absolute fold change ≥1.5 and P<0.05. miR577, miR301b, miR944, miR891a and miR6153p were generally upregulated, and miR3383p was generally downregulated. miRNAmRNA target pair analysis revealed that 49 miRNAs had 696 target mRNAs. There were significantly differentially expressed miRNAs and mRNAs between lung cancer and normal tissue. Further investigation of miRNAs and their target genes is warranted to better understand NSCLC. |
