Next generation sequencing approach for detecting 491 fusion genes from human cancer.

Urakami, Kenichi; Shimoda, Yuji; Ohshima, Keiichi; Nagashima, Takeshi; Serizawa, Masakuni; Tanabe, Tomoe; Saito, Junko; Usui, Tamiko; Watanabe, Yuko; Naruoka, Akane; Ohnami, Sumiko; Ohnami, Shumpei; Mochizuki, Tohru; Kusuhara, Masatoshi; Yamaguchi, Ken

Urakami, Kenichi; Shimoda, Yuji; Ohshima, Keiichi; Nagashima, Takeshi; Serizawa, Masakuni; Tanabe, Tomoe; Saito, Junko; Usui, Tamiko; Watanabe, Yuko; Naruoka, Akane; Ohnami, Sumiko; Ohnami, Shumpei; Mochizuki, Tohru; Kusuhara, Masatoshi; Yamaguchi, Ken.

Affiliation

Urakami K; Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute.

Biomed Res ; 37(1): 51-62, 2016.

Article in En | MEDLINE | ID: mdl-26912140

Subject(s)

High-Throughput Nucleotide Sequencing; Neoplasms/genetics; Oncogene Proteins, Fusion/genetics; Translocation, Genetic; Cell Line, Tumor; Computational Biology/methods; Humans; Immunohistochemistry; In Situ Hybridization, Fluorescence; Neoplasms/metabolism; Oncogene Proteins, Fusion/metabolism; Reverse Transcriptase Polymerase Chain Reaction

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Translocation, Genetic / Oncogene Proteins, Fusion / High-Throughput Nucleotide Sequencing / Neoplasms Limits: Humans Language: En Journal: Biomed Res Year: 2016 Document type: Article Country of publication: Japan

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