NDLI: Genome-wide integrative analysis revealed a correlation between lengths of copy number segments and corresponding gene expression profile

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Genome-wide integrative analysis revealed a correlation between lengths of copy number segments and corresponding gene expression profile

Content Provider	Semantic Scholar
Author	Miyaguchi, Ken Fukuoka, Yutaka Mizushima, Hiroshi Yasen, Mahmut Nemoto, Shota Ishikawa, Toshiaki Uetake, Hiroyuki Tanaka, Shinji Sugihara, Kenichi Arii, Shigeki Tanaka, Hiroshi
Copyright Year	2011
Abstract	Microarray analysis has been applied to comprehensively reveal the abnormalities of DNA copy number (CN) and gene expression in human cancer research during the last decade. These analyses have individually contributed to identify the genes associated with carcinogenesis, progression, metastasis of tumor cells and poor prognosis of cancer patients. However, it is known that the correlation between profiles of CN and gene expression does not highly correlate. Factors which determine the degree of correlation remain largely unexplained. To investigate one such factor, we performed trend analyses between the lengths of CN segments and corresponding gene expression profiles from microarray data in hepatocellular carcinoma (HCC) and colorectal carcinoma (CRC). Significant correlations were observed in CN gain of HCC and CRC (p<0.05). The trend of the CN loss showed a significant correlation in HCC although there was no correlation between the length of CN loss segments and gene expression in CRC. Our findings suggest that the influence of CN on gene expression highly depends on the length of CN region, especially in the case of CN gain. To the best of our knowledge, this is the first study describing the correlation between lengths of CNA segments and expression profiles of corresponding genes.
Starting Page	280
Ending Page	284
Page Count	5
File Format	PDF HTM / HTML
DOI	10.6026/97320630007280
PubMed reference number	22355221
Journal	Medline
Volume Number	7
Alternate Webpage(s)	http://ftp.ncbi.nlm.nih.gov/pub/pmc/7b/ee/97320630007280.PMC3280495.pdf
Alternate Webpage(s)	http://www.bioinformation.net/007/97320630007280.pdf
Alternate Webpage(s)	https://doi.org/10.6026/97320630007280
Journal	Bioinformation
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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