DocumentCode
573735
Title
Comparative analysis of protein-coding genes and long non-coding RNAs of prostate cancer between Caucasian and Chinese populations
Author
Hu, Fu-Yan ; Zhao, Xing-Ming ; Tang, Nelson L S ; Zhang, Yan ; Chen, Luonan
Author_Institution
Dept. of Math., Shanghai Univ., Shanghai, China
fYear
2012
fDate
18-20 Aug. 2012
Firstpage
291
Lastpage
296
Abstract
Prostate cancer is one of the most important public health problems in developed countries. To date, a systematic understanding of the pathogenesis of prostate cancer is still lacking. In this work, we identified differentially expressed protein-coding genes and long non-coding RNAs (lncRNAs) between normal and cancer tissues based on a recent RNA-seq study from Caucasian population. We then investigated the relationship between differentially expressed genes and lncRNAs. Furthermore, based on a recently published prostate cancer study on Chinese population, we identified differentially expressed genes between Caucasian and Chinese populations to investigate racial difference. Moreover, for the first time, we compared the correlation of lncRNA-gene across populations. In the end, a lot of differentially expressed genes and lncRNAs were identified. Our results revealed that most of the lncRNA-gene pairs were positively correlated especially for the lncRNA-host gene pairs, indicating the probable mechanism of lncRNA. And 320 genes were differentially expressed in prostate cancer across populations, which may help us to investigate the ethnic differences of prostate cancer. In addition, our results suggested that lncRNAs regulate genes in different manners across populations. Our findings may help understand molecular events underlying prostate cancer development.
Keywords
RNA; bioinformatics; cancer; molecular biophysics; proteins; statistical analysis; Caucasian population; Chinese population; cancer tissue; differentially expressed genes; long noncoding RNA; normal tissue; prostate cancer pathogenesis; protein coding genes; racial differences; Correlation; Prostate cancer; Proteins; Sociology; long non-coding RNAs; prostate cancer; transcriptome;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Biology (ISB), 2012 IEEE 6th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-4396-1
Electronic_ISBN
978-1-4673-4397-8
Type
conf
DOI
10.1109/ISB.2012.6314152
Filename
6314152
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