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Massive transcriptional start site analysis of human genes in hypoxia cells

Combining our full-length cDNA method and the massively parallel sequencing technology, we developed a simple method to collect precise positional information of transcriptional start sites (TSSs) together with digital information of the gene-expression levels in a high throughput manner. We applied...

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Autores principales: Tsuchihara, Katsuya, Suzuki, Yutaka, Wakaguri, Hiroyuki, Irie, Takuma, Tanimoto, Kousuke, Hashimoto, Shin-ichi, Matsushima, Kouji, Mizushima-Sugano, Junko, Yamashita, Riu, Nakai, Kenta, Bentley, David, Esumi, Hiroyasu, Sugano, Sumio
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2673422/
https://www.ncbi.nlm.nih.gov/pubmed/19237398
http://dx.doi.org/10.1093/nar/gkp066
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author Tsuchihara, Katsuya
Suzuki, Yutaka
Wakaguri, Hiroyuki
Irie, Takuma
Tanimoto, Kousuke
Hashimoto, Shin-ichi
Matsushima, Kouji
Mizushima-Sugano, Junko
Yamashita, Riu
Nakai, Kenta
Bentley, David
Esumi, Hiroyasu
Sugano, Sumio
author_facet Tsuchihara, Katsuya
Suzuki, Yutaka
Wakaguri, Hiroyuki
Irie, Takuma
Tanimoto, Kousuke
Hashimoto, Shin-ichi
Matsushima, Kouji
Mizushima-Sugano, Junko
Yamashita, Riu
Nakai, Kenta
Bentley, David
Esumi, Hiroyasu
Sugano, Sumio
author_sort Tsuchihara, Katsuya
collection PubMed
description Combining our full-length cDNA method and the massively parallel sequencing technology, we developed a simple method to collect precise positional information of transcriptional start sites (TSSs) together with digital information of the gene-expression levels in a high throughput manner. We applied this method to observe gene-expression changes in a colon cancer cell line cultured in normoxic and hypoxic conditions. We generated more than 100 million 36-base TSS-tag sequences and revealed comprehensive features of hypoxia responsive alterations in the transcriptional landscape of the human genome. The features include presence of inducible ‘hot regions’ in 54 genomic regions, 220 novel hypoxia inducible promoters that may drive non-protein-coding transcripts, 191 hypoxia responsive alternative promoters and detailed views of 120 novel as well as known hypoxia responsive genes. We further analyzed hypoxic response of different cells using additional 60 million TSS-tags and found that the degree of the gene-expression changes were different among cell lines, possibly reflecting cellular robustness against hypoxia. The novel dynamic figure of the human gene transcriptome will deepen our understanding of the transcriptional program of the human genome as well as bringing new insights into the biology of cancer cells in hypoxia.
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spelling pubmed-26734222009-05-15 Massive transcriptional start site analysis of human genes in hypoxia cells Tsuchihara, Katsuya Suzuki, Yutaka Wakaguri, Hiroyuki Irie, Takuma Tanimoto, Kousuke Hashimoto, Shin-ichi Matsushima, Kouji Mizushima-Sugano, Junko Yamashita, Riu Nakai, Kenta Bentley, David Esumi, Hiroyasu Sugano, Sumio Nucleic Acids Res Genomics Combining our full-length cDNA method and the massively parallel sequencing technology, we developed a simple method to collect precise positional information of transcriptional start sites (TSSs) together with digital information of the gene-expression levels in a high throughput manner. We applied this method to observe gene-expression changes in a colon cancer cell line cultured in normoxic and hypoxic conditions. We generated more than 100 million 36-base TSS-tag sequences and revealed comprehensive features of hypoxia responsive alterations in the transcriptional landscape of the human genome. The features include presence of inducible ‘hot regions’ in 54 genomic regions, 220 novel hypoxia inducible promoters that may drive non-protein-coding transcripts, 191 hypoxia responsive alternative promoters and detailed views of 120 novel as well as known hypoxia responsive genes. We further analyzed hypoxic response of different cells using additional 60 million TSS-tags and found that the degree of the gene-expression changes were different among cell lines, possibly reflecting cellular robustness against hypoxia. The novel dynamic figure of the human gene transcriptome will deepen our understanding of the transcriptional program of the human genome as well as bringing new insights into the biology of cancer cells in hypoxia. Oxford University Press 2009-04 2009-02-22 /pmc/articles/PMC2673422/ /pubmed/19237398 http://dx.doi.org/10.1093/nar/gkp066 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genomics
Tsuchihara, Katsuya
Suzuki, Yutaka
Wakaguri, Hiroyuki
Irie, Takuma
Tanimoto, Kousuke
Hashimoto, Shin-ichi
Matsushima, Kouji
Mizushima-Sugano, Junko
Yamashita, Riu
Nakai, Kenta
Bentley, David
Esumi, Hiroyasu
Sugano, Sumio
Massive transcriptional start site analysis of human genes in hypoxia cells
title Massive transcriptional start site analysis of human genes in hypoxia cells
title_full Massive transcriptional start site analysis of human genes in hypoxia cells
title_fullStr Massive transcriptional start site analysis of human genes in hypoxia cells
title_full_unstemmed Massive transcriptional start site analysis of human genes in hypoxia cells
title_short Massive transcriptional start site analysis of human genes in hypoxia cells
title_sort massive transcriptional start site analysis of human genes in hypoxia cells
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2673422/
https://www.ncbi.nlm.nih.gov/pubmed/19237398
http://dx.doi.org/10.1093/nar/gkp066
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