WEKO3
-
RootNode
アイテム
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
https://ipsj.ixsq.nii.ac.jp/records/96406
https://ipsj.ixsq.nii.ac.jp/records/96406a8ad84bd-7911-4098-82c0-c049a4d5ac87
名前 / ファイル | ライセンス | アクション |
---|---|---|
![]() |
Copyright (c) 2013 by the Information Processing Society of Japan
|
|
オープンアクセス |
Item type | SIG Technical Reports(1) | |||||||
---|---|---|---|---|---|---|---|---|
公開日 | 2013-12-04 | |||||||
タイトル | ||||||||
タイトル | Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets | |||||||
言語 | ||||||||
言語 | eng | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
資源タイプ | technical report | |||||||
著者所属 | ||||||||
Department of Physics, Chuo University | ||||||||
著者所属 | ||||||||
Department of Biological Science, Chuo University | ||||||||
著者所属 | ||||||||
Department of Biological Science, Chuo University | ||||||||
著者所属 | ||||||||
Department of Physics, Chuo University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Physics, Chuo University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Biological Science, Chuo University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Biological Science, Chuo University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Physics, Chuo University | ||||||||
著者名 |
Ryoichi, Kinoshita
× Ryoichi, Kinoshita
|
|||||||
著者名(英) |
Ryoichi, Kinoshita
× Ryoichi, Kinoshita
|
|||||||
論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Background: Aberrant DNA methylation is often associated with cancers. Thus, screening genes with cancer-associated aberrant DNA methylation is a useful method to identify candidate cancer-causing genes. Aberrant DNA methylation is also genotype dependent. Thus, the selection of genes with genotype-specific aberrant DNA methylation in cancers is potentially important for tailor-made medicine. The selected genes are important candidate drug targets. Results: The recently proposed principal component analysis based selection of genes with aberrant DNA methylation was applied to genotype and DNA methylation patterns in squamous cell carcinoma measured using single nucleotide polymorphism (SNP) arrays. SNPs that are frequently found in cancers are usually aberrantly methylated, and the genes that were selected using this method were reported previously to be related to cancers. Thus, genes with genotype-specific DNA methylation patterns will be good therapeutic candidates. The tertiary structures of the proteins encoded by the selected genes were successfully inferred using two profile-based protein structure servers, FAMS and Phyre2. Candidate drugs for three of these proteins, tyrosine kinase receptor (ALK), EGLN3 protein, and NUAK family SNF1-like kinase 1 (NUAK1), were identified by ChooseLD. Conclusions: We detected genes with genotype-specific DNA methylation in squamous cell carcinoma that are candidate drug targets. Using in silico drug discovery, we successfully identified several candidate drugs for the ALK, EGLN3 and NUAK1 genes that displayed genotype-specific DNA methylation. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Background: Aberrant DNA methylation is often associated with cancers. Thus, screening genes with cancer-associated aberrant DNA methylation is a useful method to identify candidate cancer-causing genes. Aberrant DNA methylation is also genotype dependent. Thus, the selection of genes with genotype-specific aberrant DNA methylation in cancers is potentially important for tailor-made medicine. The selected genes are important candidate drug targets. Results: The recently proposed principal component analysis based selection of genes with aberrant DNA methylation was applied to genotype and DNA methylation patterns in squamous cell carcinoma measured using single nucleotide polymorphism (SNP) arrays. SNPs that are frequently found in cancers are usually aberrantly methylated, and the genes that were selected using this method were reported previously to be related to cancers. Thus, genes with genotype-specific DNA methylation patterns will be good therapeutic candidates. The tertiary structures of the proteins encoded by the selected genes were successfully inferred using two profile-based protein structure servers, FAMS and Phyre2. Candidate drugs for three of these proteins, tyrosine kinase receptor (ALK), EGLN3 protein, and NUAK family SNF1-like kinase 1 (NUAK1), were identified by ChooseLD. Conclusions: We detected genes with genotype-specific DNA methylation in squamous cell carcinoma that are candidate drug targets. Using in silico drug discovery, we successfully identified several candidate drugs for the ALK, EGLN3 and NUAK1 genes that displayed genotype-specific DNA methylation. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AN10505667 | |||||||
書誌情報 |
研究報告数理モデル化と問題解決(MPS) 巻 2013-MPS-96, 号 23, p. 1-6, 発行日 2013-12-04 |
|||||||
Notice | ||||||||
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
出版者 | ||||||||
言語 | ja | |||||||
出版者 | 情報処理学会 |