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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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Detalles Bibliográficos
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
Descripción
Sumario: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.