A network perspective on unraveling the role of TRP channels in biology and disease

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• 作者：Jung Nyeo Chun (1) (2)
  Jin Muk Lim (3)
  Young Kang (4)
  Eung Hee Kim (3)
  Young-Cheul Shin (1)
  Hong-Gee Kim (2) (3) (5)
  Dayk Jang (6)
  Dongseop Kwon (7)
  Soo-Yong Shin (8)
  Insuk So (1) (2)
  Ju-Hong Jeon (1) (2)
  
• 关键词：TRP channel ; Network ; Protein ; protein interaction ; Data ; driven science
• 刊名：Pfl篓鹿gers Archiv - European Journal of Physiology
• 出版年：2014
• 出版时间：February 2014
• 年：2014
• 卷：466
• 期：2
• 页码：173-182
• 全文大小：813 KB
• 作者单位：Jung Nyeo Chun (1) (2)
  Jin Muk Lim (3)
  Young Kang (4)
  Eung Hee Kim (3)
  Young-Cheul Shin (1)
  Hong-Gee Kim (2) (3) (5)
  Dayk Jang (6)
  Dongseop Kwon (7)
  Soo-Yong Shin (8)
  Insuk So (1) (2)
  Ju-Hong Jeon (1) (2)
  
  1. Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea
  2. Institute of Human-Environment Interface Biology, Seoul National University, Seoul, 110-799, South Korea
  3. Biomedical Knowledge Engineering Lab, Seoul National University, Seoul, 110-749, South Korea
  4. Undergraduate Research Program, Seoul National University College of Medicine, Seoul, 110-799, South Korea
  5. Dental Research Institute, Seoul National University, Seoul, 110-749, South Korea
  6. College of Liberal Studies, Seoul National University, Seoul, 151-742, South Korea
  7. Department of Computer Engineering, Myongji University, Gyeonggi-do, 449-728, South Korea
  8. Department of Biomedical Informatics, Asan Medical Center, Seoul, 138-736, South Korea
  
• ISSN：1432-2013

文摘

Transient receptor potential (TRP) channels are a large family of non-selective cation channels that mediate numerous physiological and pathophysiological processes; however, still largely unknown are the underlying molecular mechanisms. With data generated on an unprecedented scale, network-based approaches have been revolutionizing the way in which we understand biology and disease, discover disease genes, and develop therapeutic strategies. These circumstances have created opportunities to encounter TRP channel research to data-intensive science. In this review, we provide an introduction of network-based approaches in biomedical science, describe the current state of TRP channel network biology, and discuss the future direction of TRP channel research. Network perspective will facilitate the discovery of latent roles and underlying mechanisms of TRP channels in biology and disease.