Integrating physical and genetic maps: from genomes to interaction networks

被引:142
作者
Beyer, Andreas
Bandyopadhyay, Sourav
Ideker, Trey [1 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Tech Univ Dresden, BIOTEC, D-01062 Dresden, Germany
关键词
D O I
10.1038/nrg2144
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Physical and genetic mapping data have become as important to network biology as they once were to the Human Genome Project. Integrating physical and genetic networks currently faces several challenges: increasing the coverage of each type of network; establishing methods to assemble individual interaction measurements into contiguous pathway models; and annotating these pathways with detailed functional information. A particular challenge involves reconciling the wide variety of interaction types that are currently available. For this purpose, recent studies have sought to classify genetic and physical interactions along several complementary dimensions, such as ordered versus unordered, alleviating versus aggravating, and first versus second degree.
引用
收藏
页码:699 / 710
页数:12
相关论文
共 120 条
  • [1] AVERY L, 1992, TRENDS GENET, V8, P312, DOI 10.1016/0168-9525(92)90263-4
  • [2] An automated method for finding molecular complexes in large protein interaction networks
    Bader, GD
    Hogue, CW
    [J]. BMC BIOINFORMATICS, 2003, 4 (1)
  • [3] Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships
    Bao, Lei
    Wei, Lai
    Peirce, Jeremy L.
    Homayouni, Ramin
    Li, Hongqiang
    Zhou, Mi
    Chen, Hao
    Lu, Lu
    Williams, Robert W.
    Pfeffer, Lawrence M.
    Goldowitz, Dan
    Cui, Yan
    [J]. MAMMALIAN GENOME, 2006, 17 (06) : 575 - 583
  • [4] High-throughput mapping of a dynamic signaling network in mammalian cells
    Barrios-Rodiles, M
    Brown, KR
    Ozdamar, B
    Bose, R
    Liu, Z
    Donovan, RS
    Shinjo, F
    Liu, YM
    Dembowy, J
    Taylor, IW
    Luga, V
    Przulj, N
    Robinson, M
    Suzuki, H
    Hayashizaki, Y
    Jurisica, I
    Wrana, JL
    [J]. SCIENCE, 2005, 307 (5715) : 1621 - 1625
  • [5] Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities
    Berger, Michael F.
    Philippakis, Anthony A.
    Qureshi, Aaron M.
    He, Fangxue S.
    Estep, Preston W., III
    Bulyk, Martha L.
    [J]. NATURE BIOTECHNOLOGY, 2006, 24 (11) : 1429 - 1435
  • [6] Integrated assessment and prediction of transcription factor binding
    Beyer, Andreas
    Workman, Christopher
    Hollunder, Jens
    Radke, Doerte
    Moeller, Ulrich
    Wilhelm, Thomas
    Ideker, Trey
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2006, 2 (06) : 615 - 626
  • [7] Exploring genetic interactions and networks with yeast
    Boone, Charles
    Bussey, Howard
    Andrews, Brenda J.
    [J]. NATURE REVIEWS GENETICS, 2007, 8 (06) : 437 - 449
  • [8] Protein interaction networks from yeast to human
    Bork, P
    Jensen, LJ
    von Mering, C
    Ramani, AK
    Lee, I
    Marcotte, EM
    [J]. CURRENT OPINION IN STRUCTURAL BIOLOGY, 2004, 14 (03) : 292 - 299
  • [9] BOTSTEIN D, 1997, MOL CELLULAR BIOL YE
  • [10] Are genome-wide association studies all that we need to dissect the genetic component of complex human diseases?
    Bourgain, Catherine
    Genin, Emmanuelle
    Cox, Nancy
    Clerget-Darpoux, Francoise
    [J]. EUROPEAN JOURNAL OF HUMAN GENETICS, 2007, 15 (03) : 260 - 263