Comprehensive expressional analyses of antisense transcripts in colon cancer tissues using artificial antisense probes.
Comprehensive expressional analyses of antisense transcripts in colon cancer tissues using artificial antisense probes.
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DOI:
10.1186/1755-8794-4-42
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发表时间:
2011-05-16
影响因子:
2.7
通讯作者:
Kiyosawa H
中科院分区:
文献类型:
--
作者:
Saito R;Kohno K;Okada Y;Osada Y;Numata K;Kohama C;Watanabe K;Nakaoka H;Yamamoto N;Kanai A;Yasue H;Murata S;Abe K;Tomita M;Ohkohchi N;Kiyosawa H
Recent studies have identified thousands of sense-antisense gene pairs across different genomes by computational mapping of cDNA sequences. These studies have shown that approximately 25% of all transcriptional units in the human and mouse genomes are involved in cis-sense-antisense pairs. However, the number of known sense-antisense pairs remains limited because currently available cDNA sequences represent only a fraction of the total number of transcripts comprising the transcriptome of each cell type. To discover novel antisense transcripts encoded in the antisense strand of important genes, such as cancer-related genes, we conducted expression analyses of antisense transcripts using our custom microarray platform along with 2376 probes designed specifically to detect the potential antisense transcripts of 501 well-known genes suitable for cancer research. Using colon cancer tissue and normal tissue surrounding the cancer tissue obtained from 6 patients, we found that antisense transcripts without poly(A) tails are expressed from approximately 80% of these well-known genes. This observation is consistent with our previous finding that many antisense transcripts expressed in a cell are poly(A)-. We also identified 101 and 71 antisense probes displaying a high level of expression specifically in normal and cancer tissues respectively. Our microarray analysis identified novel antisense transcripts with expression profiles specific to cancer tissue, some of which might play a role in the regulatory networks underlying oncogenesis and thus are potential targets for further experimental validation. Our microarray data are available at http://www.brc.riken.go.jp/ncrna2007/viewer-Saito-01/index.html.
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影响因子:
4.4
作者:
Numata K;Osada Y;Okada Y;Saito R;Hiraiwa N;Nakaoka H;Yamamoto N;Watanabe K;Okubo K;Kohama C;Kanai A;Abe K;Kiyosawa H
通讯作者:
Kiyosawa H
影响因子:
56.9
作者:
Carninci, P;Kasukawa, T;Hayashizaki, Y
通讯作者:
Hayashizaki, Y
影响因子:
64.8
作者:
Lu, J;Getz, G;Golub, TR
通讯作者:
Golub, TR
DOI:
10.1126/science.1162253
发表时间:
2008-12-19
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Seila AC;Calabrese JM;Levine SS;Yeo GW;Rahl PB;Flynn RA;Young RA;Sharp PA
通讯作者:
Sharp PA
影响因子:
4.4
作者:
Grigoriadis A;Oliver GR;Tanney A;Kendrick H;Smalley MJ;Jat P;Neville AM
通讯作者:
Neville AM