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系统生物学在医学研究中的应用 被引量:3

Application of systems biology for the medical sciences
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摘要 癌症、心血管疾病等复杂疾病的发生发展不是由单一遗传因素引起的,而是受多遗传因素的影响;除了遗传因素,还受很多环境因素的影响,是多个遗传因素和多个环境因素相互作用的结果。因此,本质上,复杂疾病是一种"系统"病,关于其预防、诊断和治疗以及对其的理解亦需要以"系统"的观点和方法来研究。近年来,高通量生物医学技术的迅猛发展为系统生物学的兴起奠定了数据基础,复杂网络理论以及信息学理论的发展亦为系统生物学的发展提供了坚实的方法学基础。近年来,系统生物学在医学研究中得到了广泛的应用,发挥着越来越重要的作用。本文将介绍系统生物学在理解、诊断和治疗疾病中的研究进展。 The formation and development of complex diseases such as cancer and cardiovascular disease are not resulted from the dysfunction of single genetic factor but multiple genetic factors. Besides the genetic factors, they also affected by environmental factors and could be the outcome of the complex network of genetic factors and environmental factors. Complex diseases are systems diseases and therefore should be studied based on the ideas and methods of systems science. In recent years, the high-throughput biology techniques provided data basis for the development of systems biology. Meanwhile, the rapid development of complex network theory provided methodology basis for systems biology. Recently, systems biology is increasingly and widely applied in medical sciences. In this review, we will give an introduction to the systems biology and its application in medicine.
出处 《中国医学前沿杂志(电子版)》 2013年第5期20-26,共7页 Chinese Journal of the Frontiers of Medical Science(Electronic Version)
关键词 系统生物学 医学研究 应用 研究进展 Systems biology Medical sciences Utilization Research progress
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  • 1Weiner N. Cybernetics:or Control and Communication in the animal and the machine[M].MIT Press,Cambridge,MA,1948.
  • 2Kitano H. Systems biology:a brief overview[J].{H}SCIENCE,2002,(5560):1662-1664.
  • 3Barabási A.L,Gulbahce N,Loscalzo J. Network medicine:a network-based approach to human disease[J].{H}Nature Reviews Genetics,2011,(01):56-68.
  • 4Macilwain C. Systems biology:evolving into the mainstream[J].{H}CELL,2011,(06):839-841.
  • 5Stelzl U,Worm U,Lalowski M. A human protein-protein interaction network:a resource for annotating the proteome[J].{H}CELL,2005,(06):957-968.
  • 6Cui Q,Yu Z,Purisima EO. Principles of microRNA regulation of a human cellular signaling network[J].Mol Syst Biol,2006.46.
  • 7Duarte NC,Becker SA,Jamshidi N. Global reconstruction of the human metabolic network based on genomic and bibliomic data[J].{H}Proceedings of the National Academy of Sciences(USA),2007,(06):1777-1782.
  • 8Goh KI,Cusick ME,Valle D. The human disease network[J].{H}Proceedings of the National Academy of Sciences(USA),2007,(21):8685-8690.
  • 9Yildirim MA,Goh KI,Cusick ME. Drug-target network[J].{H}Nature Biotechnology,2007,(10):1119-1126.
  • 10Najafabadi HS,Salavati R. Sequence-based prediction of protein-protein interactions by means of codon usage[J].{H}GENOME BIOLOGY,2008,(05):R87.

同被引文献82

  • 1王阶,李海霞,胡元会,衷敬柏,李军,邢雁伟,赵凤鸣.血瘀证量化诊断方法学研究[J].中国中医基础医学杂志,2006,12(9):658-661. 被引量:16
  • 2Iglesias P. Systems Biology: the role Of engineering in the reverse engineering of biological signaling [ J ]. Cells, 2013, 2 (2) : 393-413.
  • 3Faratian D, Bown J, Smith V A, et al. Cancer systems biology[ C ]//Yah Q . Systems biology in drug discovet-y and development. New Jersey: Humana Press,2010:245-263.
  • 4Chen H Y, Yu S L, Chert C H, et al. A five-gene signature and clinical outcome in non-small-cell lung cancer[ J]. New England Journal of Medicine, 2007, 356 ( 1 ) : 11-20.
  • 5Yeoh E J, Ross M E, Shurtleff S A, et al. Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene ext>ression prowling[J]. Cancer Cell, 2002, 1 (2) : 133-143.
  • 6Subramanian A, Tamayo P, Mootha V K, et al. Gene set enrichment analysis : a knowledge-based approach for interpreting genome-wide expres- sion profiles[ J]. Proceedings of the National Aeademy of Scienees of the United States of America, 2005, 102 (43) : 15545-15550.
  • 7Tucker-Kellogg G, Lee E, Chuang H Y, et al. Inferring pathway activity toward precise disease classification [ J ]. PLoS Computational Biology, 2008, 4 ( 11 ) : e1000217.
  • 8Chuang H Y, Lee E, Liu Y T, et aI. Network-based classification of breast cancer metastasis [ J]. Molecular Systems Biology, 2007 (3) : 140- 144.
  • 9Saal L H, Johansson P, Holm K, et al. Poor prognosis in carcinoma is assnciated with a gene expression signature of aberrant PTEN tumor sup- pressor pathway activity[ J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104 (18) : 7564-7569.
  • 10Staid M, Wang Y, Zhang Y, et al. Subtypes of breast cancer show preferential site of relapse [ J ]. Cancer Research, 2008, 68 ( 9 ) : 3108-3114.

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