Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles

Seiya Imoto, Yoshinor Tamada, Hiromitsu Araki, Kaori Yasuda, Cristin G. Print, Stephen D. Charnock-Jones, Deborah Sanders, Christopher J. Savoie, Kosuke Tashiro, Satoru Kuhara, Satoru Miyano

研究成果: 著書/レポートタイプへの貢献会議での発言

25 引用 (Scopus)

抄録

We propose a computational strategy for discovering gene networks affected by a chemical compound. Two kinds of DNA microarray data are assumed to be used: One dataset is short time-course data that measure responses of genes following an experimental treatment. The other dataset is obtained by several hundred single gene knock-downs. These two datasets provide three kinds of information; (i) A gene network is estimated from time-course data by the dynamic Bayesian network model, (ii) Relationships between the knocked-down genes and their regulatees are estimated directly from knock-down microarrays and (iii) A gene network can be estimated by gene knock-down data alone using the Bayesian network model. We propose a method that combines these three kinds of information to provide an accurate gene network that most strongly relates to the mode-of-action of the chemical compound in cells. This information plays an essential role in pharmacogenomics. We illustrate this method with an actual example where human endothelial cell gene networks were generated from a novel time course of gene expression following treatment with the drug fenofibrate, and from 270 novel gene knock-downs. Finally, we succeeded in inferring the gene network related to PPAR-a, which is a known target of fenofibrate.

元の言語英語
ホスト出版物のタイトルProceedings of the Pacific Symposium on Biocomputing 2006, PSB 2006
ページ559-571
ページ数13
出版物ステータス出版済み - 2006
イベント11th Pacific Symposium on Biocomputing 2006, PSB 2006 - Maui, HI, 米国
継続期間: 1 3 20061 7 2006

その他

その他11th Pacific Symposium on Biocomputing 2006, PSB 2006
米国
Maui, HI
期間1/3/061/7/06

Fingerprint

Gene Regulatory Networks
RNA
Genes
Genome
Gene Knockdown Techniques
Fenofibrate
Pharmacologic Actions
Chemical compounds
Peroxisome Proliferator-Activated Receptors
Bayesian networks
Microarrays
Pharmacogenetics
Oligonucleotide Array Sequence Analysis
Endothelial Cells
Gene Expression
Endothelial cells
Gene expression
Pharmaceutical Preparations
DNA
Datasets

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Biomedical Engineering
  • Medicine(all)

これを引用

Imoto, S., Tamada, Y., Araki, H., Yasuda, K., Print, C. G., Charnock-Jones, S. D., ... Miyano, S. (2006). Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. : Proceedings of the Pacific Symposium on Biocomputing 2006, PSB 2006 (pp. 559-571)

Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. / Imoto, Seiya; Tamada, Yoshinor; Araki, Hiromitsu; Yasuda, Kaori; Print, Cristin G.; Charnock-Jones, Stephen D.; Sanders, Deborah; Savoie, Christopher J.; Tashiro, Kosuke; Kuhara, Satoru; Miyano, Satoru.

Proceedings of the Pacific Symposium on Biocomputing 2006, PSB 2006. 2006. p. 559-571.

研究成果: 著書/レポートタイプへの貢献会議での発言

Imoto, S, Tamada, Y, Araki, H, Yasuda, K, Print, CG, Charnock-Jones, SD, Sanders, D, Savoie, CJ, Tashiro, K, Kuhara, S & Miyano, S 2006, Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. : Proceedings of the Pacific Symposium on Biocomputing 2006, PSB 2006. pp. 559-571, 11th Pacific Symposium on Biocomputing 2006, PSB 2006, Maui, HI, 米国, 1/3/06.
Imoto S, Tamada Y, Araki H, Yasuda K, Print CG, Charnock-Jones SD その他. Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. : Proceedings of the Pacific Symposium on Biocomputing 2006, PSB 2006. 2006. p. 559-571
Imoto, Seiya ; Tamada, Yoshinor ; Araki, Hiromitsu ; Yasuda, Kaori ; Print, Cristin G. ; Charnock-Jones, Stephen D. ; Sanders, Deborah ; Savoie, Christopher J. ; Tashiro, Kosuke ; Kuhara, Satoru ; Miyano, Satoru. / Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. Proceedings of the Pacific Symposium on Biocomputing 2006, PSB 2006. 2006. pp. 559-571
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AU - Charnock-Jones, Stephen D.

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