TY - JOUR
T1 - Comprehensive expressional analyses of antisense transcripts in colon cancer tissues using artificial antisense probes
AU - Saito, Rintaro
AU - Kohno, Keisuke
AU - Okada, Yuki
AU - Osada, Yuko
AU - Numata, Koji
AU - Kohama, Chihiro
AU - Watanabe, Kazufumi
AU - Nakaoka, Hajime
AU - Yamamoto, Naoyuki
AU - Kanai, Akio
AU - Yasue, Hiroshi
AU - Murata, Soichiro
AU - Abe, Kuniya
AU - Tomita, Masaru
AU - Ohkohchi, Nobuhiro
AU - Kiyosawa, Hidenori
N1 - Funding Information:
We thank Takahiro Doi’s laboratory and the RIKEN BioResource Center for microarray supply and RNA extraction. We also thank Hidemasa Kato (NIKON CORPORATION) for critically reading our manuscript. This research was supported in part by grants from the Non-coding RNA Project of the New Energy and Industrial Technology Development Organization (NEDO) of Japan and by research funds from the Yamagata prefectural government and Tsuruoka City, Japan.
PY - 2011
Y1 - 2011
N2 - Background: 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. Methods. 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. Results: 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. Conclusion: 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.
AB - Background: 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. Methods. 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. Results: 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. Conclusion: 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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U2 - 10.1186/1755-8794-4-42
DO - 10.1186/1755-8794-4-42
M3 - Article
C2 - 21575255
AN - SCOPUS:79955908799
SN - 1755-8794
VL - 4
JO - BMC Medical Genomics
JF - BMC Medical Genomics
M1 - 42
ER -