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Refined blood-borne miRNome of human diseases via PCA-based feature extraction
https://ipsj.ixsq.nii.ac.jp/records/81543
https://ipsj.ixsq.nii.ac.jp/records/815433fa21f77-9658-45f2-95f1-1f4e37cd760e
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2012 by the Information Processing Society of Japan
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オープンアクセス |
Item type | SIG Technical Reports(1) | |||||||
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公開日 | 2012-03-21 | |||||||
タイトル | ||||||||
タイトル | Refined blood-borne miRNome of human diseases via PCA-based feature extraction | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Refined blood-borne miRNome of human diseases via PCA-based feature extraction | |||||||
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 | ||||||||
Center for Genomic Medicine, Kyoto University Graduate School of Medicine | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Physics,Chuo University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Center for Genomic Medicine, Kyoto University Graduate School of Medicine | ||||||||
著者名 |
Y-H.Taguchi
× Y-H.Taguchi
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著者名(英) |
Y-H., Taguchi
× Y-H., Taguchi
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Disease biomarker using blood is clinically important, since blood is easy to obtain from patients, thus it requires relatively less stress. However, blood generally reflects not only targeted diseases but also whole body status of patients. Thus, it is important which contents of blood are considered. Recently, miRNAs in blood, blood-borne miRNome, turns out to be promising candidates for blood based biomarker for diseases. In this paper, we propose a new method based upon principal component analysis to identify better candidates for miRNAs as blood based biomarker using miRNA expression profiles of patients. Our method based upon principal components analysis provides us better blood-borne miRNome to discriminate diseases from healthy controls. They are hsa-miR-425,hsa-miR-15b,hsa-miR-185, hsa-miR-92a, hsa-miR-140-3p, hsamiR-320a, hsa-miR-486-5p, hsa-miR-16, hsa-miR-191, hsa-miR-106b, hsa-miR-19b, and hsa-miR-30d and are previously extensively reported to be cancer/disease related miRNAs. We have found that these common miRNAs are expressive or suppressive significantly in most of diseases/cancers, but in diseases/cancers specific combinatory manner. It enables us to discriminate cancers/diseases from healthy control well. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Disease biomarker using blood is clinically important, since blood is easy to obtain from patients, thus it requires relatively less stress. However, blood generally reflects not only targeted diseases but also whole body status of patients. Thus, it is important which contents of blood are considered. Recently, miRNAs in blood, blood-borne miRNome, turns out to be promising candidates for blood based biomarker for diseases. In this paper, we propose a new method based upon principal component analysis to identify better candidates for miRNAs as blood based biomarker using miRNA expression profiles of patients. Our method based upon principal components analysis provides us better blood-borne miRNome to discriminate diseases from healthy controls. They are hsa-miR-425,hsa-miR-15b,hsa-miR-185, hsa-miR-92a, hsa-miR-140-3p, hsamiR-320a, hsa-miR-486-5p, hsa-miR-16, hsa-miR-191, hsa-miR-106b, hsa-miR-19b, and hsa-miR-30d and are previously extensively reported to be cancer/disease related miRNAs. We have found that these common miRNAs are expressive or suppressive significantly in most of diseases/cancers, but in diseases/cancers specific combinatory manner. It enables us to discriminate cancers/diseases from healthy control well. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA12055912 | |||||||
書誌情報 |
研究報告バイオ情報学(BIO) 巻 2012-BIO-28, 号 13, p. 1-6, 発行日 2012-03-21 |
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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 |