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Volumn 7, Issue 1, 2015, Pages 13-38

Network representations of immune system complexity

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; GENE INTERACTION; GENE REGULATORY NETWORK; HOST PATHOGEN INTERACTION; HUMAN; IMMUNE SYSTEM; IMMUNOCOMPETENT CELL; INNATE IMMUNITY; NONHUMAN; PREDICTION; PROTEIN PROTEIN INTERACTION; SIGNAL TRANSDUCTION; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; IMMUNOLOGY; METABOLISM;

EID: 84923168407     PISSN: 19395094     EISSN: 1939005X     Source Type: Journal    
DOI: 10.1002/wsbm.1288     Document Type: Article
Times cited : (72)

References (174)
  • 1
    • 0034721164 scopus 로고    scopus 로고
    • Error and attack tolerance of complex networks
    • Albert R, Jeong H, Barabasi AL. Error and attack tolerance of complex networks. Nature 2000, 406:378-382.
    • (2000) Nature , vol.406 , pp. 378-382
    • Albert, R.1    Jeong, H.2    Barabasi, A.L.3
  • 2
    • 84866908257 scopus 로고    scopus 로고
    • Network science: luck or reason
    • Barabasi AL. Network science: luck or reason. Nature 2012, 489:507-508.
    • (2012) Nature , vol.489 , pp. 507-508
    • Barabasi, A.L.1
  • 3
    • 0035826155 scopus 로고    scopus 로고
    • Exploring complex networks
    • Strogatz SH. Exploring complex networks. Nature 2001, 410:268-276.
    • (2001) Nature , vol.410 , pp. 268-276
    • Strogatz, S.H.1
  • 4
    • 84864402194 scopus 로고    scopus 로고
    • Leveraging models of cell regulation and GWAS data in integrative network-based association studies
    • Califano A, Butte AJ, Friend S, Ideker T, Schadt E. Leveraging models of cell regulation and GWAS data in integrative network-based association studies. Nat Genet 2012, 44:841-847.
    • (2012) Nat Genet , vol.44 , pp. 841-847
    • Califano, A.1    Butte, A.J.2    Friend, S.3    Ideker, T.4    Schadt, E.5
  • 5
    • 78650373804 scopus 로고    scopus 로고
    • Network medicine: a network-based approach to human disease
    • Barabasi AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet 2011, 12:56-68.
    • (2011) Nat Rev Genet , vol.12 , pp. 56-68
    • Barabasi, A.L.1    Gulbahce, N.2    Loscalzo, J.3
  • 6
    • 77249100734 scopus 로고    scopus 로고
    • Network inference and network response identification: moving genome-scale data to the next level of biological discovery
    • Veiga DF, Dutta B, Balazsi G. Network inference and network response identification: moving genome-scale data to the next level of biological discovery. Mol Biosyst 2010, 6:469-480.
    • (2010) Mol Biosyst , vol.6 , pp. 469-480
    • Veiga, D.F.1    Dutta, B.2    Balazsi, G.3
  • 8
    • 84887963766 scopus 로고    scopus 로고
    • Network medicine in disease analysis and therapeutics
    • Chen B, Butte AJ. Network medicine in disease analysis and therapeutics. Clin Pharmacol Ther 2013, 94:627-629.
    • (2013) Clin Pharmacol Ther , vol.94 , pp. 627-629
    • Chen, B.1    Butte, A.J.2
  • 9
    • 0742305866 scopus 로고    scopus 로고
    • Network biology: understanding the cell's functional organization
    • Barabasi AL, Oltvai ZN. Network biology: understanding the cell's functional organization. Nat Rev Genet 2004, 5:101-113.
    • (2004) Nat Rev Genet , vol.5 , pp. 101-113
    • Barabasi, A.L.1    Oltvai, Z.N.2
  • 10
    • 62849094483 scopus 로고    scopus 로고
    • Navigating the network: signaling cross-talk in hematopoietic cells
    • Fraser ID, Germain RN. Navigating the network: signaling cross-talk in hematopoietic cells. Nat Immunol 2009, 10:327-331.
    • (2009) Nat Immunol , vol.10 , pp. 327-331
    • Fraser, I.D.1    Germain, R.N.2
  • 11
    • 84892712729 scopus 로고    scopus 로고
    • Unifying immunology with informatics and multiscale biology
    • Kidd BA, Peters LA, Schadt EE, Dudley JT. Unifying immunology with informatics and multiscale biology. Nat Immunol 2014, 15:118-127.
    • (2014) Nat Immunol , vol.15 , pp. 118-127
    • Kidd, B.A.1    Peters, L.A.2    Schadt, E.E.3    Dudley, J.T.4
  • 12
    • 46049087782 scopus 로고    scopus 로고
    • The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation
    • Wingender E. The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation. Brief Bioinform 2008, 9:326-332.
    • (2008) Brief Bioinform , vol.9 , pp. 326-332
    • Wingender, E.1
  • 17
    • 77951044336 scopus 로고    scopus 로고
    • Analysis of diverse regulatory networks in a hierarchical context shows consistent tendencies for collaboration in the middle levels
    • Bhardwaj N, Yan KK, Gerstein MB. Analysis of diverse regulatory networks in a hierarchical context shows consistent tendencies for collaboration in the middle levels. Proc Natl Acad Sci USA 2010, 107:6841-6846.
    • (2010) Proc Natl Acad Sci USA , vol.107 , pp. 6841-6846
    • Bhardwaj, N.1    Yan, K.K.2    Gerstein, M.B.3
  • 19
    • 0037245913 scopus 로고    scopus 로고
    • BIND: the Biomolecular Interaction Network Database
    • Bader GD, Betel D, Hogue CW. BIND: the Biomolecular Interaction Network Database. Nucleic Acids Res 2003, 31:248-250.
    • (2003) Nucleic Acids Res , vol.31 , pp. 248-250
    • Bader, G.D.1    Betel, D.2    Hogue, C.W.3
  • 20
    • 75549085083 scopus 로고    scopus 로고
    • Human Protein Reference Database and Human Proteinpedia as discovery tools for systems biology
    • Prasad TS, Kandasamy K, Pandey A. Human Protein Reference Database and Human Proteinpedia as discovery tools for systems biology. Methods Mol Biol 2009, 577:67-79.
    • (2009) Methods Mol Biol , vol.577 , pp. 67-79
    • Prasad, T.S.1    Kandasamy, K.2    Pandey, A.3
  • 23
    • 84858983547 scopus 로고    scopus 로고
    • KEGG for integration and interpretation of large-scale molecular data sets
    • Kanehisa M, Goto S, Sato Y, Furumichi M, Tanabe M. KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 2012, 40:D109-D114.
    • (2012) Nucleic Acids Res , vol.40 , pp. D109-D114
    • Kanehisa, M.1    Goto, S.2    Sato, Y.3    Furumichi, M.4    Tanabe, M.5
  • 30
    • 84888434853 scopus 로고    scopus 로고
    • Immunological genome project and systems immunology
    • Shay T, Kang J. Immunological genome project and systems immunology. Trends Immunol 2013, 34:602-609.
    • (2013) Trends Immunol , vol.34 , pp. 602-609
    • Shay, T.1    Kang, J.2
  • 32
    • 70349312354 scopus 로고    scopus 로고
    • ChIP-seq: advantages and challenges of a maturing technology
    • Park PJ. ChIP-seq: advantages and challenges of a maturing technology. Nat Rev Genet 2009, 10:669-680.
    • (2009) Nat Rev Genet , vol.10 , pp. 669-680
    • Park, P.J.1
  • 33
    • 67449095889 scopus 로고    scopus 로고
    • Computational methods for discovering gene networks from expression data
    • Lee WP, Tzou WS. Computational methods for discovering gene networks from expression data. Brief Bioinform 2009, 10:408-423.
    • (2009) Brief Bioinform , vol.10 , pp. 408-423
    • Lee, W.P.1    Tzou, W.S.2
  • 34
    • 77957110013 scopus 로고    scopus 로고
    • Advantages and limitations of current network inference methods
    • De Smet R, Marchal K. Advantages and limitations of current network inference methods. Nat Rev Microbiol 2010, 8:717-729.
    • (2010) Nat Rev Microbiol , vol.8 , pp. 717-729
    • De Smet, R.1    Marchal, K.2
  • 36
    • 34548394483 scopus 로고    scopus 로고
    • Human protein-protein interaction networks and the value for drug discovery
    • Ruffner H, Bauer A, Bouwmeester T. Human protein-protein interaction networks and the value for drug discovery. Drug Discov Today 2007, 12:709-716.
    • (2007) Drug Discov Today , vol.12 , pp. 709-716
    • Ruffner, H.1    Bauer, A.2    Bouwmeester, T.3
  • 44
    • 67149141471 scopus 로고    scopus 로고
    • Influence of protein abundance on high-throughput protein-protein interaction detection
    • Ivanic J, Yu X, Wallqvist A, Reifman J. Influence of protein abundance on high-throughput protein-protein interaction detection. PLoS One 2009, 4:e5815.
    • (2009) PLoS One , vol.4 , pp. e5815
    • Ivanic, J.1    Yu, X.2    Wallqvist, A.3    Reifman, J.4
  • 46
    • 77949773550 scopus 로고    scopus 로고
    • Towards genome-scale signalling network reconstructions
    • Hyduke DR, Palsson BO. Towards genome-scale signalling network reconstructions. Nat Rev Genet 2010, 11:297-307.
    • (2010) Nat Rev Genet , vol.11 , pp. 297-307
    • Hyduke, D.R.1    Palsson, B.O.2
  • 47
    • 20344379457 scopus 로고    scopus 로고
    • Topological units of environmental signal processing in the transcriptional regulatory network of Escherichia coli
    • Balazsi G, Barabasi AL, Oltvai ZN. Topological units of environmental signal processing in the transcriptional regulatory network of Escherichia coli. Proc Natl Acad Sci USA 2005, 102:7841-7846.
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 7841-7846
    • Balazsi, G.1    Barabasi, A.L.2    Oltvai, Z.N.3
  • 50
    • 84866495994 scopus 로고    scopus 로고
    • PathNet: a tool for pathway analysis using topological information
    • Dutta B, Wallqvist A, Reifman J. PathNet: a tool for pathway analysis using topological information. Source Code Biol Med 2012, 7:10.
    • (2012) Source Code Biol Med , vol.7 , pp. 10
    • Dutta, B.1    Wallqvist, A.2    Reifman, J.3
  • 53
    • 24044440971 scopus 로고    scopus 로고
    • BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks
    • Maere S, Heymans K, Kuiper M. BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics 2005, 21:3448-3449.
    • (2005) Bioinformatics , vol.21 , pp. 3448-3449
    • Maere, S.1    Heymans, K.2    Kuiper, M.3
  • 55
    • 84874741556 scopus 로고    scopus 로고
    • CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data
    • Bindea G, Galon J, Mlecnik B. CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data. Bioinformatics 2013, 29:661-663.
    • (2013) Bioinformatics , vol.29 , pp. 661-663
    • Bindea, G.1    Galon, J.2    Mlecnik, B.3
  • 56
    • 2942552459 scopus 로고    scopus 로고
    • An automated method for finding molecular complexes in large protein interaction networks
    • Bader GD, Hogue CW. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics 2003, 4:2.
    • (2003) BMC Bioinformatics , vol.4 , pp. 2
    • Bader, G.D.1    Hogue, C.W.2
  • 57
    • 84880199410 scopus 로고    scopus 로고
    • Pathview: an R/Bioconductor package for pathway-based data integration and visualization
    • Luo W, Brouwer C. Pathview: an R/Bioconductor package for pathway-based data integration and visualization. Bioinformatics 2013, 29:1830-1831.
    • (2013) Bioinformatics , vol.29 , pp. 1830-1831
    • Luo, W.1    Brouwer, C.2
  • 58
  • 59
    • 84859935998 scopus 로고    scopus 로고
    • RedeR: R/Bioconductor package for representing modular structures, nested networks and multiple levels of hierarchical associations
    • Castro MA, Wang X, Fletcher MN, Meyer KB, Markowetz F. RedeR: R/Bioconductor package for representing modular structures, nested networks and multiple levels of hierarchical associations. Genome Biol 2012, 13:R29.
    • (2012) Genome Biol , vol.13 , pp. R29
    • Castro, M.A.1    Wang, X.2    Fletcher, M.N.3    Meyer, K.B.4    Markowetz, F.5
  • 62
    • 0038483826 scopus 로고    scopus 로고
    • Emergence of scaling in random networks
    • Barabasi AL, Albert R. Emergence of scaling in random networks. Science 1999, 286:509-512.
    • (1999) Science , vol.286 , pp. 509-512
    • Barabasi, A.L.1    Albert, R.2
  • 63
    • 34247622363 scopus 로고    scopus 로고
    • The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics
    • Yu H, Kim PM, Sprecher E, Trifonov V, Gerstein M. The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics. PLoS Comput Biol 2007, 3:e59.
    • (2007) PLoS Comput Biol , vol.3 , pp. e59
    • Yu, H.1    Kim, P.M.2    Sprecher, E.3    Trifonov, V.4    Gerstein, M.5
  • 64
    • 44649132540 scopus 로고    scopus 로고
    • Host innate immune receptors and beyond: making sense of microbial infections
    • Ishii KJ, Koyama S, Nakagawa A, Coban C, Akira S. Host innate immune receptors and beyond: making sense of microbial infections. Cell Host Microbe 2008, 3:352-363.
    • (2008) Cell Host Microbe , vol.3 , pp. 352-363
    • Ishii, K.J.1    Koyama, S.2    Nakagawa, A.3    Coban, C.4    Akira, S.5
  • 65
    • 84878190840 scopus 로고    scopus 로고
    • Immune sensing of DNA
    • Paludan SR, Bowie AG. Immune sensing of DNA. Immunity 2013, 38:870-880.
    • (2013) Immunity , vol.38 , pp. 870-880
    • Paludan, S.R.1    Bowie, A.G.2
  • 66
    • 84899929564 scopus 로고    scopus 로고
    • Heterogeneity in immune responses: from populations to single cells
    • Satija R, Shalek AK. Heterogeneity in immune responses: from populations to single cells. Trends Immunol 2014, 35:219-229.
    • (2014) Trends Immunol , vol.35 , pp. 219-229
    • Satija, R.1    Shalek, A.K.2
  • 67
    • 58049203835 scopus 로고    scopus 로고
    • Systems biology of innate immunity
    • Zak DE, Aderem A. Systems biology of innate immunity. Immunol Rev 2009, 227:264-282.
    • (2009) Immunol Rev , vol.227 , pp. 264-282
    • Zak, D.E.1    Aderem, A.2
  • 69
    • 37849004094 scopus 로고    scopus 로고
    • Functional genomic delineation of TLR-induced transcriptional networks
    • Elkon R, Linhart C, Halperin Y, Shiloh Y, Shamir R. Functional genomic delineation of TLR-induced transcriptional networks. BMC Genomics 2007, 8:394.
    • (2007) BMC Genomics , vol.8 , pp. 394
    • Elkon, R.1    Linhart, C.2    Halperin, Y.3    Shiloh, Y.4    Shamir, R.5
  • 75
    • 82255175259 scopus 로고    scopus 로고
    • Strategies to discover regulatory circuits of the mammalian immune system
    • Amit I, Regev A, Hacohen N. Strategies to discover regulatory circuits of the mammalian immune system. Nat Rev Immunol 2011, 11:873-880.
    • (2011) Nat Rev Immunol , vol.11 , pp. 873-880
    • Amit, I.1    Regev, A.2    Hacohen, N.3
  • 79
    • 70349728484 scopus 로고    scopus 로고
    • A recurrent network involving the transcription factors PU.1 and Gfi1 orchestrates innate and adaptive immune cell fates
    • Spooner CJ, Cheng JX, Pujadas E, Laslo P, Singh H. A recurrent network involving the transcription factors PU.1 and Gfi1 orchestrates innate and adaptive immune cell fates. Immunity 2009, 31:576-586.
    • (2009) Immunity , vol.31 , pp. 576-586
    • Spooner, C.J.1    Cheng, J.X.2    Pujadas, E.3    Laslo, P.4    Singh, H.5
  • 81
    • 84861552972 scopus 로고    scopus 로고
    • Network crosstalk dynamically changes during neutrophil polarization
    • Ku CJ, Wang Y, Weiner OD, Altschuler SJ, Wu LF. Network crosstalk dynamically changes during neutrophil polarization. Cell 2012, 149:1073-1083.
    • (2012) Cell , vol.149 , pp. 1073-1083
    • Ku, C.J.1    Wang, Y.2    Weiner, O.D.3    Altschuler, S.J.4    Wu, L.F.5
  • 87
    • 80755126865 scopus 로고    scopus 로고
    • Mapping a dynamic innate immunity protein interaction network regulating type I interferon production
    • Li S, Wang L, Berman M, Kong YY, Dorf ME. Mapping a dynamic innate immunity protein interaction network regulating type I interferon production. Immunity 2011, 35:426-440.
    • (2011) Immunity , vol.35 , pp. 426-440
    • Li, S.1    Wang, L.2    Berman, M.3    Kong, Y.Y.4    Dorf, M.E.5
  • 89
  • 90
    • 84878232476 scopus 로고    scopus 로고
    • The history of Toll-like receptors-redefining innate immunity
    • O'Neill LA, Golenbock D, Bowie AG. The history of Toll-like receptors-redefining innate immunity. Nat Rev Immunol 2013, 13:453-460.
    • (2013) Nat Rev Immunol , vol.13 , pp. 453-460
    • O'Neill, L.A.1    Golenbock, D.2    Bowie, A.G.3
  • 91
    • 24144461689 scopus 로고    scopus 로고
    • Identification and characterization of MAVS, a mitochondrial antiviral signaling protein that activates NF-κB and IRF 3
    • Seth RB, Sun L, Ea CK, Chen ZJ. Identification and characterization of MAVS, a mitochondrial antiviral signaling protein that activates NF-κB and IRF 3. Cell 2005, 122:669-682.
    • (2005) Cell , vol.122 , pp. 669-682
    • Seth, R.B.1    Sun, L.2    Ea, C.K.3    Chen, Z.J.4
  • 92
    • 84876237736 scopus 로고    scopus 로고
    • The adaptor MAVS promotes NLRP3 mitochondrial localization and inflammasome activation
    • Subramanian N, Natarajan K, Clatworthy MR, Wang Z, Germain RN. The adaptor MAVS promotes NLRP3 mitochondrial localization and inflammasome activation. Cell 2013, 153:348-361.
    • (2013) Cell , vol.153 , pp. 348-361
    • Subramanian, N.1    Natarajan, K.2    Clatworthy, M.R.3    Wang, Z.4    Germain, R.N.5
  • 93
    • 27144440476 scopus 로고    scopus 로고
    • Cardif is an adaptor protein in the RIG-I antiviral pathway and is targeted by hepatitis C virus
    • Meylan E, Curran J, Hofmann K, Moradpour D, Binder M, Bartenschlager R, Tschopp J. Cardif is an adaptor protein in the RIG-I antiviral pathway and is targeted by hepatitis C virus. Nature 2005, 437:1167-1172.
    • (2005) Nature , vol.437 , pp. 1167-1172
    • Meylan, E.1    Curran, J.2    Hofmann, K.3    Moradpour, D.4    Binder, M.5    Bartenschlager, R.6    Tschopp, J.7
  • 99
    • 33847183077 scopus 로고    scopus 로고
    • Cooperation of Toll-like receptor signals in innate immune defence
    • Trinchieri G, Sher A. Cooperation of Toll-like receptor signals in innate immune defence. Nat Rev Immunol 2007, 7:179-190.
    • (2007) Nat Rev Immunol , vol.7 , pp. 179-190
    • Trinchieri, G.1    Sher, A.2
  • 100
    • 65249164025 scopus 로고    scopus 로고
    • Multiple signaling pathways contribute to synergistic TLR ligand-dependent cytokine gene expression in human monocyte-derived macrophages and dendritic cells
    • Makela SM, Strengell M, Pietila TE, Osterlund P, Julkunen I. Multiple signaling pathways contribute to synergistic TLR ligand-dependent cytokine gene expression in human monocyte-derived macrophages and dendritic cells. J Leukoc Biol 2009, 85:664-672.
    • (2009) J Leukoc Biol , vol.85 , pp. 664-672
    • Makela, S.M.1    Strengell, M.2    Pietila, T.E.3    Osterlund, P.4    Julkunen, I.5
  • 103
    • 84858796247 scopus 로고    scopus 로고
    • Integration of B cell responses through Toll-like receptors and antigen receptors
    • Rawlings DJ, Schwartz MA, Jackson SW, Meyer-Bahlburg A. Integration of B cell responses through Toll-like receptors and antigen receptors. Nat Rev Immunol 2012, 12:282-294.
    • (2012) Nat Rev Immunol , vol.12 , pp. 282-294
    • Rawlings, D.J.1    Schwartz, M.A.2    Jackson, S.W.3    Meyer-Bahlburg, A.4
  • 104
    • 79951844253 scopus 로고    scopus 로고
    • Effects of NOD-like receptors in human B lymphocytes and crosstalk between NOD1/NOD2 and Toll-like receptors
    • Petterson T, Jendholm J, Mansson A, Bjartell A, Riesbeck K, Cardell LO. Effects of NOD-like receptors in human B lymphocytes and crosstalk between NOD1/NOD2 and Toll-like receptors. J Leukoc Biol 2011, 89:177-187.
    • (2011) J Leukoc Biol , vol.89 , pp. 177-187
    • Petterson, T.1    Jendholm, J.2    Mansson, A.3    Bjartell, A.4    Riesbeck, K.5    Cardell, L.O.6
  • 105
    • 33645734929 scopus 로고    scopus 로고
    • Toll-dependent selection of microbial antigens for presentation by dendritic cells
    • Blander JM, Medzhitov R. Toll-dependent selection of microbial antigens for presentation by dendritic cells. Nature 2006, 440:808-812.
    • (2006) Nature , vol.440 , pp. 808-812
    • Blander, J.M.1    Medzhitov, R.2
  • 106
    • 84884355522 scopus 로고    scopus 로고
    • Synergistic activation of inflammatory cytokine genes by interferon-γ-induced chromatin remodeling and toll-like receptor signaling
    • Qiao Y, Giannopoulou EG, Chan CH, Park SH, Gong S, Chen J, Hu X, Elemento O, Ivashkiv LB. Synergistic activation of inflammatory cytokine genes by interferon-γ-induced chromatin remodeling and toll-like receptor signaling. Immunity 2013, 39:454-469.
    • (2013) Immunity , vol.39 , pp. 454-469
    • Qiao, Y.1    Giannopoulou, E.G.2    Chan, C.H.3    Park, S.H.4    Gong, S.5    Chen, J.6    Hu, X.7    Elemento, O.8    Ivashkiv, L.B.9
  • 109
    • 84908556899 scopus 로고    scopus 로고
    • High-throughput microfluidic single-cell analysis pipeline for studies of signaling dynamics
    • Kellogg RA, Gomez-Sjoberg R, Leyrat AA, Tay S. High-throughput microfluidic single-cell analysis pipeline for studies of signaling dynamics. Nat Protoc 2014, 9:1713-1726.
    • (2014) Nat Protoc , vol.9 , pp. 1713-1726
    • Kellogg, R.A.1    Gomez-Sjoberg, R.2    Leyrat, A.A.3    Tay, S.4
  • 111
    • 84880937170 scopus 로고    scopus 로고
    • Quantitative single cell and single molecule proteomics for clinical studies
    • Willison KR, Klug DR. Quantitative single cell and single molecule proteomics for clinical studies. Curr Opin Biotechnol 2013, 24:745-751.
    • (2013) Curr Opin Biotechnol , vol.24 , pp. 745-751
    • Willison, K.R.1    Klug, D.R.2
  • 113
    • 77954541844 scopus 로고    scopus 로고
    • Single-cell NF-κB dynamics reveal digital activation and analogue information processing
    • Tay S, Hughey JJ, Lee TK, Lipniacki T, Quake SR, Covert MW. Single-cell NF-κB dynamics reveal digital activation and analogue information processing. Nature 2010, 466:267-271.
    • (2010) Nature , vol.466 , pp. 267-271
    • Tay, S.1    Hughey, J.J.2    Lee, T.K.3    Lipniacki, T.4    Quake, S.R.5    Covert, M.W.6
  • 116
    • 84857850580 scopus 로고    scopus 로고
    • Modeling community-wide molecular networks of multicellular systems
    • Komurov K. Modeling community-wide molecular networks of multicellular systems. Bioinformatics 2012, 28:694-700.
    • (2012) Bioinformatics , vol.28 , pp. 694-700
    • Komurov, K.1
  • 117
    • 34248206078 scopus 로고    scopus 로고
    • The immune-body cytokine network defines a social architecture of cell interactions
    • Frankenstein Z, Alon U, Cohen IR. The immune-body cytokine network defines a social architecture of cell interactions. Biol Direct 2006, 1:32.
    • (2006) Biol Direct , vol.1 , pp. 32
    • Frankenstein, Z.1    Alon, U.2    Cohen, I.R.3
  • 120
    • 0035940071 scopus 로고    scopus 로고
    • The physiology of the lymphatic system
    • Swartz MA. The physiology of the lymphatic system. Adv Drug Deliv Rev 2001, 50:3-20.
    • (2001) Adv Drug Deliv Rev , vol.50 , pp. 3-20
    • Swartz, M.A.1
  • 121
    • 84866345786 scopus 로고    scopus 로고
    • A spatially-organized multicellular innate immune response in lymph nodes limits systemic pathogen spread
    • Kastenmuller W, Torabi-Parizi P, Subramanian N, Lammermann T, Germain RN. A spatially-organized multicellular innate immune response in lymph nodes limits systemic pathogen spread. Cell 2012, 150:1235-1248.
    • (2012) Cell , vol.150 , pp. 1235-1248
    • Kastenmuller, W.1    Torabi-Parizi, P.2    Subramanian, N.3    Lammermann, T.4    Germain, R.N.5
  • 124
    • 84876910443 scopus 로고    scopus 로고
    • The integration of T cell migration, differentiation and function
    • Masopust D, Schenkel JM. The integration of T cell migration, differentiation and function. Nat Rev Immunol 2013, 13:309-320.
    • (2013) Nat Rev Immunol , vol.13 , pp. 309-320
    • Masopust, D.1    Schenkel, J.M.2
  • 125
    • 0042386089 scopus 로고    scopus 로고
    • The strategy of T cell antigen-presenting cell encounter in antigen-draining lymph nodes revealed by imaging of initial T cell activation
    • Bajenoff M, Granjeaud S, Guerder S. The strategy of T cell antigen-presenting cell encounter in antigen-draining lymph nodes revealed by imaging of initial T cell activation. J Exp Med 2003, 198:715-724.
    • (2003) J Exp Med , vol.198 , pp. 715-724
    • Bajenoff, M.1    Granjeaud, S.2    Guerder, S.3
  • 126
    • 84867900263 scopus 로고    scopus 로고
    • HEVs, lymphatics and homeostatic immune cell trafficking in lymph nodes
    • Girard JP, Moussion C, Forster R. HEVs, lymphatics and homeostatic immune cell trafficking in lymph nodes. Nat Rev Immunol 2012, 12:762-773.
    • (2012) Nat Rev Immunol , vol.12 , pp. 762-773
    • Girard, J.P.1    Moussion, C.2    Forster, R.3
  • 127
    • 84870828931 scopus 로고    scopus 로고
    • HCMV-infected cells maintain efficient nucleotide excision repair of the viral genome while abrogating repair of the host genome
    • O'Dowd JM, Zavala AG, Brown CJ, Mori T, Fortunato EA. HCMV-infected cells maintain efficient nucleotide excision repair of the viral genome while abrogating repair of the host genome. PLoS Pathog 2012, 8:e1003038.
    • (2012) PLoS Pathog , vol.8 , pp. e1003038
    • O'Dowd, J.M.1    Zavala, A.G.2    Brown, C.J.3    Mori, T.4    Fortunato, E.A.5
  • 130
    • 33744460202 scopus 로고    scopus 로고
    • Lysophospholipid sensing triggers secretion of flagellin from pathogenic salmonella
    • Subramanian N, Qadri A. Lysophospholipid sensing triggers secretion of flagellin from pathogenic salmonella. Nat Immunol 2006, 7:583-589.
    • (2006) Nat Immunol , vol.7 , pp. 583-589
    • Subramanian, N.1    Qadri, A.2
  • 132
    • 38349136199 scopus 로고    scopus 로고
    • Binding of influenza A virus NS1 protein to the inter-SH2 domain of p85 suggests a novel mechanism for phosphoinositide 3-kinase activation
    • Hale BG, Batty IH, Downes CP, Randall RE. Binding of influenza A virus NS1 protein to the inter-SH2 domain of p85 suggests a novel mechanism for phosphoinositide 3-kinase activation. J Biol Chem 2008, 283:1372-1380.
    • (2008) J Biol Chem , vol.283 , pp. 1372-1380
    • Hale, B.G.1    Batty, I.H.2    Downes, C.P.3    Randall, R.E.4
  • 133
    • 41949094828 scopus 로고    scopus 로고
    • Avian and 1918 Spanish influenza a virus NS1 proteins bind to Crk/CrkL Src homology 3 domains to activate host cell signaling
    • Heikkinen LS, Kazlauskas A, Melen K, Wagner R, Ziegler T, Julkunen I, Saksela K. Avian and 1918 Spanish influenza a virus NS1 proteins bind to Crk/CrkL Src homology 3 domains to activate host cell signaling. J Biol Chem 2008, 283:5719-5727.
    • (2008) J Biol Chem , vol.283 , pp. 5719-5727
    • Heikkinen, L.S.1    Kazlauskas, A.2    Melen, K.3    Wagner, R.4    Ziegler, T.5    Julkunen, I.6    Saksela, K.7
  • 135
    • 0030045605 scopus 로고    scopus 로고
    • A protein linkage map of Escherichia coli bacteriophage T7
    • Bartel PL, Roecklein JA, SenGupta D, Fields S. A protein linkage map of Escherichia coli bacteriophage T7. Nat Genet 1996, 12:72-77.
    • (1996) Nat Genet , vol.12 , pp. 72-77
    • Bartel, P.L.1    Roecklein, J.A.2    SenGupta, D.3    Fields, S.4
  • 137
    • 0034712955 scopus 로고    scopus 로고
    • Genome-wide analysis of vaccinia virus protein-protein interactions
    • McCraith S, Holtzman T, Moss B, Fields S. Genome-wide analysis of vaccinia virus protein-protein interactions. Proc Natl Acad Sci USA 2000, 97:4879-4884.
    • (2000) Proc Natl Acad Sci USA , vol.97 , pp. 4879-4884
    • McCraith, S.1    Holtzman, T.2    Moss, B.3    Fields, S.4
  • 144
    • 78649849857 scopus 로고    scopus 로고
    • Global protein-protein interaction network in the human pathogen Mycobacterium tuberculosis H37Rv
    • Wang Y, Cui T, Zhang C, Yang M, Huang Y, Li W, Zhang L, Gao C, He Y, Li Y, et al. Global protein-protein interaction network in the human pathogen Mycobacterium tuberculosis H37Rv. J Proteome Res 2010, 9:6665-6677.
    • (2010) J Proteome Res , vol.9 , pp. 6665-6677
    • Wang, Y.1    Cui, T.2    Zhang, C.3    Yang, M.4    Huang, Y.5    Li, W.6    Zhang, L.7    Gao, C.8    He, Y.9    Li, Y.10
  • 147
    • 84871820346 scopus 로고    scopus 로고
    • Systems biology of pathogen-host interaction: networks of protein-protein interaction within pathogens and pathogen-human interactions in the post-genomic era
    • Durmus Tekir SD, Ulgen KO. Systems biology of pathogen-host interaction: networks of protein-protein interaction within pathogens and pathogen-human interactions in the post-genomic era. Biotechnol J 2013, 8:85-96.
    • (2013) Biotechnol J , vol.8 , pp. 85-96
    • Durmus Tekir, S.D.1    Ulgen, K.O.2
  • 151
    • 77957719439 scopus 로고    scopus 로고
    • HPIDB-a unified resource for host-pathogen interactions
    • Kumar R, Nanduri B. HPIDB-a unified resource for host-pathogen interactions. BMC Bioinformatics 2010, 11(suppl 6):S16.
    • (2010) BMC Bioinformatics , vol.11 , pp. S16
    • Kumar, R.1    Nanduri, B.2
  • 152
    • 38549139547 scopus 로고    scopus 로고
    • PHIDIAS: a pathogen-host interaction data integration and analysis system
    • Xiang Z, Tian Y, He Y. PHIDIAS: a pathogen-host interaction data integration and analysis system. Genome Biol 2007, 8:R150.
    • (2007) Genome Biol , vol.8 , pp. R150
    • Xiang, Z.1    Tian, Y.2    He, Y.3
  • 155
    • 70349116906 scopus 로고    scopus 로고
    • CAPIH: a web interface for comparative analyses and visualization of host-HIV protein-protein interactions
    • Lin FK, Pan CL, Yang JM, Chuang TJ, Chen FC. CAPIH: a web interface for comparative analyses and visualization of host-HIV protein-protein interactions. BMC Microbiol 2009, 9:164.
    • (2009) BMC Microbiol , vol.9 , pp. 164
    • Lin, F.K.1    Pan, C.L.2    Yang, J.M.3    Chuang, T.J.4    Chen, F.C.5
  • 157
    • 84866390995 scopus 로고    scopus 로고
    • Computational analysis of interactomes: current and future perspectives for bioinformatics approaches to model the host-pathogen interaction space
    • Arnold R, Boonen K, Sun MG, Kim PM. Computational analysis of interactomes: current and future perspectives for bioinformatics approaches to model the host-pathogen interaction space. Methods 2012, 57:508-518.
    • (2012) Methods , vol.57 , pp. 508-518
    • Arnold, R.1    Boonen, K.2    Sun, M.G.3    Kim, P.M.4
  • 158
    • 84859030469 scopus 로고    scopus 로고
    • Literature mining of host-pathogen interactions: comparing feature-based supervised learning and language-based approaches
    • Thieu T, Joshi S, Warren S, Korkin D. Literature mining of host-pathogen interactions: comparing feature-based supervised learning and language-based approaches. Bioinformatics 2012, 28:867-875.
    • (2012) Bioinformatics , vol.28 , pp. 867-875
    • Thieu, T.1    Joshi, S.2    Warren, S.3    Korkin, D.4
  • 159
  • 160
    • 57649203329 scopus 로고    scopus 로고
    • Ortholog-based protein-protein interaction prediction and its application to inter-species interactions
    • Lee SA, Chan CH, Tsai CH, Lai JM, Wang FS, Kao CY, Huang CY. Ortholog-based protein-protein interaction prediction and its application to inter-species interactions. BMC Bioinformatics 2008, 9(suppl 12):S11.
    • (2008) BMC Bioinformatics , vol.9 , pp. S11
    • Lee, S.A.1    Chan, C.H.2    Tsai, C.H.3    Lai, J.M.4    Wang, F.S.5    Kao, C.Y.6    Huang, C.Y.7
  • 161
    • 81255128913 scopus 로고    scopus 로고
    • Computational prediction of host-parasite protein interactions between P. falciparum and H. sapiens
    • Wuchty S. Computational prediction of host-parasite protein interactions between P. falciparum and H. sapiens. PLoS One 2011, 6:e26960.
    • (2011) PLoS One , vol.6 , pp. e26960
    • Wuchty, S.1
  • 162
    • 40349106161 scopus 로고    scopus 로고
    • The landscape of human proteins interacting with viruses and other pathogens
    • Dyer MD, Murali TM, Sobral BW. The landscape of human proteins interacting with viruses and other pathogens. PLoS Pathog 2008, 4:e32.
    • (2008) PLoS Pathog , vol.4 , pp. e32
    • Dyer, M.D.1    Murali, T.M.2    Sobral, B.W.3
  • 163
    • 79956299502 scopus 로고    scopus 로고
    • Supervised learning and prediction of physical interactions between human and HIV proteins
    • Dyer MD, Murali TM, Sobral BW. Supervised learning and prediction of physical interactions between human and HIV proteins. Infect Genet Evol 2011, 11:917-923.
    • (2011) Infect Genet Evol , vol.11 , pp. 917-923
    • Dyer, M.D.1    Murali, T.M.2    Sobral, B.W.3
  • 166
    • 67949109561 scopus 로고    scopus 로고
    • Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs
    • Evans P, Dampier W, Ungar L, Tozeren A. Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs. BMC Med Genomics 2009, 2:27.
    • (2009) BMC Med Genomics , vol.2 , pp. 27
    • Evans, P.1    Dampier, W.2    Ungar, L.3    Tozeren, A.4
  • 167
    • 48749084893 scopus 로고    scopus 로고
    • Genome-wide association studies: a new window into immune-mediated diseases
    • Xavier RJ, Rioux JD. Genome-wide association studies: a new window into immune-mediated diseases. Nat Rev Immunol 2008, 8:631-643.
    • (2008) Nat Rev Immunol , vol.8 , pp. 631-643
    • Xavier, R.J.1    Rioux, J.D.2
  • 171
  • 172
    • 70249134919 scopus 로고    scopus 로고
    • Molecular networks as sensors and drivers of common human diseases
    • Schadt EE. Molecular networks as sensors and drivers of common human diseases. Nature 2009, 461:218-223.
    • (2009) Nature , vol.461 , pp. 218-223
    • Schadt, E.E.1
  • 173
    • 84888011244 scopus 로고    scopus 로고
    • Network-based approaches in drug discovery and early development
    • Harrold JM, Ramanathan M, Mager DE. Network-based approaches in drug discovery and early development. Clin Pharmacol Ther 2013, 94:651-658.
    • (2013) Clin Pharmacol Ther , vol.94 , pp. 651-658
    • Harrold, J.M.1    Ramanathan, M.2    Mager, D.E.3


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