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Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer
On the basis of integrated transcriptome analysis, we show that not all transcriptional start site clusters (TSCs) in the intergenic regions (iTSCs) have the same properties; thus, it is possible to discriminate the iTSCs that are likely to have biological relevance from the other noise-level iTSCs....
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885271/ https://www.ncbi.nlm.nih.gov/pubmed/20400770 http://dx.doi.org/10.1093/dnares/dsq007 |
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author | Sathira, Nuankanya Yamashita, Riu Tanimoto, Kousuke Kanai, Akinori Arauchi, Takako Kanematsu, Soutaro Nakai, Kenta Suzuki, Yutaka Sugano, Sumio |
author_facet | Sathira, Nuankanya Yamashita, Riu Tanimoto, Kousuke Kanai, Akinori Arauchi, Takako Kanematsu, Soutaro Nakai, Kenta Suzuki, Yutaka Sugano, Sumio |
author_sort | Sathira, Nuankanya |
collection | PubMed |
description | On the basis of integrated transcriptome analysis, we show that not all transcriptional start site clusters (TSCs) in the intergenic regions (iTSCs) have the same properties; thus, it is possible to discriminate the iTSCs that are likely to have biological relevance from the other noise-level iTSCs. We used a total of 251 933 381 short-read sequence tags generated from various types of transcriptome analyses in order to characterize 6039 iTSCs, which have significant expression levels. We analyzed and found that 23% of these iTSCs were located in the proximal regions of the RefSeq genes. These RefSeq-linked iTSCs showed similar expression patterns with the neighboring RefSeq genes, had widely fluctuating transcription start sites and lacked ordered nucleosome positioning. These iTSCs seemed not to form independent transcriptional units, simply representing the by-products of the neighboring RefSeq genes, in spite of their significant expression levels. Similar features were also observed for the TSCs located in the antisense regions of the RefSeq genes. Furthermore, for the remaining iTSCs that were not associated with any RefSeq genes, we demonstrate that integrative interpretation of the transcriptome data provides essential information to specify their biological functions in the hypoxic responses of the cells. |
format | Text |
id | pubmed-2885271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28852712010-06-15 Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer Sathira, Nuankanya Yamashita, Riu Tanimoto, Kousuke Kanai, Akinori Arauchi, Takako Kanematsu, Soutaro Nakai, Kenta Suzuki, Yutaka Sugano, Sumio DNA Res Full Papers On the basis of integrated transcriptome analysis, we show that not all transcriptional start site clusters (TSCs) in the intergenic regions (iTSCs) have the same properties; thus, it is possible to discriminate the iTSCs that are likely to have biological relevance from the other noise-level iTSCs. We used a total of 251 933 381 short-read sequence tags generated from various types of transcriptome analyses in order to characterize 6039 iTSCs, which have significant expression levels. We analyzed and found that 23% of these iTSCs were located in the proximal regions of the RefSeq genes. These RefSeq-linked iTSCs showed similar expression patterns with the neighboring RefSeq genes, had widely fluctuating transcription start sites and lacked ordered nucleosome positioning. These iTSCs seemed not to form independent transcriptional units, simply representing the by-products of the neighboring RefSeq genes, in spite of their significant expression levels. Similar features were also observed for the TSCs located in the antisense regions of the RefSeq genes. Furthermore, for the remaining iTSCs that were not associated with any RefSeq genes, we demonstrate that integrative interpretation of the transcriptome data provides essential information to specify their biological functions in the hypoxic responses of the cells. Oxford University Press 2010-06 2010-04-17 /pmc/articles/PMC2885271/ /pubmed/20400770 http://dx.doi.org/10.1093/dnares/dsq007 Text en © The Author 2010. Published by Oxford University Press on behalf of Kazusa DNA Research Institute. http://creativecommons.org/licenses/by-nc/2.5/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers Sathira, Nuankanya Yamashita, Riu Tanimoto, Kousuke Kanai, Akinori Arauchi, Takako Kanematsu, Soutaro Nakai, Kenta Suzuki, Yutaka Sugano, Sumio Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer |
title | Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer |
title_full | Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer |
title_fullStr | Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer |
title_full_unstemmed | Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer |
title_short | Characterization of Transcription Start Sites of Putative Non-coding RNAs by Multifaceted Use of Massively Paralleled Sequencer |
title_sort | characterization of transcription start sites of putative non-coding rnas by multifaceted use of massively paralleled sequencer |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885271/ https://www.ncbi.nlm.nih.gov/pubmed/20400770 http://dx.doi.org/10.1093/dnares/dsq007 |
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