On the modelling and analysis of the regulatory network of dengue virus pathogenesis and clearance

Computational Biology and Chemistry

Volumn 53, Issue PB, 2014, Pages 277-291

  Aslam, Babar ^a   Ahmad, Jamil ^a   Ali, Amjad ^a   Paracha, Rehan Zafar ^a   Tareen, Samar Hayat Khan ^a   Niazi, Umar ^b   Saeed, Tariq ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Dengue; Formal modelling; Ren Thomas; SOCS 1; TLR3; Type 1 interferons

Indexed keywords

ANTIBIOTICS; AUTOMATA THEORY; CHEMICAL ACTIVATION; COMPUTER VIRUSES; GLYCOPROTEINS; INTERFERONS; MODEL CHECKING; PATTERN RECOGNITION; PHYSIOLOGY; PROTEINS; VIRUSES;

BIOLOGICAL REGULATORY NETWORKS; DENGUE; FORMAL MODELLING; MODELLING AND ANALYSIS; PARAMETRIC LINEAR HYBRID AUTOMATON; PATTERN RECOGNITION RECEPTORS; SOCS-1; TLR3;

IMMUNE SYSTEM;

DENGUE VIRUS;

EID: 84911424510     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2014.10.003     Document Type: Article

References (97)

1. Ahmad, J., 2009. Modélisation hybride et analyse des dynamiques des réseaux de régulations biologiques en tenant compte des délais. Ph.D. thesis. Nantes.
2. Ahmad, J., Bernot, G., Comet, J.-P., Lime, D., Roux, O., 2007. Hybrid modelling and dynamical analysis of gene regulatory networks with delays. ComPlexUs 3, 231-251.
3. Ahmad, J., Bourdon, J., Eveillard, D., Fromentin, J., Roux, O., Sinoquet, C., 2009. Temporal constraints of a gene regulatory network: refining a qualitative simulation. Bio Syst. 98, 149-159, http://dx.doi.org/10.1016/j.biosystems.2009.05.002.
4. Ahmad, J., Niazi, U., Mansoor, S., Siddique, U., Bibby, J., 2012. Formal modeling and analysis of the mal-associated biological regulatory network: insight into cerebral malaria. PLoS ONE 7, e33532.
5. Ahmad, J., Roux, O., 2010. Invariance kernel of biological regulatory networks. Int. J. Data Min. Bioinf. 4, 553-570.
6. Ahmad, J., Roux, O., Bernot, G., Comet, J.-P., 2008. Analysing formal models of genetic regulatory networks with delays. Int. J. Bioinf. Res. Appl. 4, 240-262.
7. Akira, S., Uematsu, S., Takeuchi, O., 2006. Pathogen recognition and innate immunity. Cell 124, 783-801.
8. Alexopoulou, L., Holt, A.C., Medzhitov, R., Flavell, R.A., 2001. Recognition of double-stranded rna and activation of NF-κB by toll-like receptor 3. Nature 413, 732-738.
9. Ashour, J., Laurent-Rolle, M., Shi, P.-Y., García-Sastre, A., 2009. Ns5 of dengue virus mediates stat2 binding and degradation. J. Virol. 83, 5408-5418.
10. Atkinson, P.W., 2010. Vector biology, Ecology and Control. Springer, New York, USA.
11. Bernot, G., Cassez, F., Comet, J.-P., Delaplace, F., Mller, C., Roux, O., 2007. Semantics of biological regulatory networks. Electronic notes in theoretical computer science. In: Proceedings of the First Workshop on Concurrent Models in Molecular Biology (BioConcur 2003), vol. 180, Marseille, France, pp. 3-14, http://www.sciencedirect.com/science/article/pii/S157106610700494X. doi:10.1016/j.entcs.2004.01.038.
12. Bernot, G., Comet, J.-P., Richard, A., Guespin, J., 2004. Application of formal methods to biological regulatory networks: extending Thomas' asynchronous logical approach with temporal logic. J. Theor. Biol. 229, 339-347.
13. Bolland, S., Ravetch, J.V., 1999. Inhibitory pathways triggered by itim-containing receptors. Adv. Immunol. 72, 149-166.
14. Borden, E.C., Sen, G.C., Uze, G., Silverman, R.H., Ransohoff, R.M., Foster, G.R., Stark, G.R., 2007. Interferons at age 50: past, current and future impact on biomedicine. Nat. Rev. Drug Discov. 6, 975-990.
15. C. for Disease Control, and Prevention, Epidemiology. http://www.cdc.gov/dengue/epidemiology/index.html
16. Chadoeuf, J., Senoussi, R., Yao, J., 2000. Parametric estimation of a boolean segment process with stochastic restoration estimation. J. Comput. Graph. Stat. 9, 390-402.
17. Chan, K.R., Zhang, S.L.-X., Tan, H.C., Chan, Y.K., Chow, A., Lim, A.P.C., Vasudevan, S.G., Hanson, B.J., Ooi, E.E., 2011. Ligation of fc gamma receptor iib inhibits antibody-dependent enhancement of dengue virus infection. In: Proceedings of the National Academy of Sciences, pp. 12479-21248.
18. Chareonsirisuthigul, T., Kalayanarooj, S., Ubol, S., 2007. Dengue virus (denv) antibody-dependent enhancement of infection upregulates the production of anti-inflammatory cytokines, but suppresses anti-denv free radical and pro-inflammatory cytokine production, in thp-1 cells. J. Gen. Virol. 88, 365-375.
19. Chaturvedi, U., Agarwal, R., Elbishbishi, E., Mustafa, A., 2000. Cytokine cascade in dengue hemorrhagic fever: implications for pathogenesis. FEMS Immunol. Med. Microbiol. 28, 183-188.
20. Chawla, T., Chan, K.R., Zhang, S.L., Tan, H.C., Lim, A.P., Hanson, B.J., Ooi, E.E., 2013. Dengue virus neutralization in cells expressing fc gamma receptors. PLOS ONE 8, e65231.
21. Cimatti, A., Clarke, E., Giunchiglia, E., Giunchiglia, F., Pistore, M., Roveri, M., Sebastiani, R., Tacchella, A., 2002. Nusmv 2: An opensource tool for symbolic model checking. In: 14th International Conference, CAV, Copenhagen, Denmark. Springer, p. 359364.
22. Clarke Jr., E.M., Grumberg, O., Peled, D.A., 1999. Model Checking. MIT Press, Cambridge, MA, USA.
23. Cook, D.N., Pisetsky, D.S., Schwartz, D.A., 2004. Toll-like receptors in the pathogenesis of human disease. Nat. Immunol. 5, 975-979.
24. Cusson-Hermance, N., Khurana, S., Lee, T.H., Fitzgerald, K.A., Kelliher, M.A., 2005. Rip1 mediates the trif-dependent toll-like receptor 3- and 4-induced NF-κB activation but does not contribute to interferon regulatory factor 3 activation. J. Biol. Chem. 280, 36560-36566.
25. De Kruif, M., Setiati, T., Mairuhu, A., Koraka, P., Aberson, H., et al., 2008. Differential Gene Expression Changes in Children with Severe Dengue Virus.
26. Deen, J.L., Harris, E., Wills, B., Balmaseda, A., Hammond, S.N., Rocha, C., Dung, N.M., Hung, N.T., Hien, T.T., Farrar, J.J., 2006. The who dengue classification and case definitions: time for a reassessment. Lancet 368, 170-173.
27. Demongeot, J., Kaufman, M., Thomas, R., 2000. Positive feedback circuits and memory. In: Comptes Rendus de l'Académie des Sciences-Series III-Sciences de la Vie, vol. 323, pp. 69-79.
28. Diamond, M.S., Roberts, T.G., Edgil, D., Lu, B., Ernst, J., Harris, E., 2000. Modulation of dengue virus infection in human cells by alpha, beta, and gamma interferons. J. Virol. 74, 4957-4966.
29. Ellson, J., Gansner, E.R., Koutsofios, E., North, S.C., Woodhull, G., 2004. Graphviz and dynagraphstatic and dynamic graph drawing tools. In: In Graph Drawing Software. Springer, Washington, pp. 127-148.
30. Ferwerda, B., Alonso, S., Banahan, K., McCall, M.B., Giamarellos-Bourboulis, E.J., Ramakers, B.P., Mouktaroudi, M., Fain, P.R., Izagirre, N., Syafruddin, D., Cristea, T., Mockenhaupt, F.P., Troye-Blomberg, M., Kumpf, O., Maiga, B., Dolo, A., Doumbo, O., Sundaresan, S., Bedu-Addo, G., van Crevel, R., Hamann, L., Oh, D.Y., Schumann, R.R., Joosten, L.A., de la Rua, C., Sauerwein, R., Drenth, J.P., Kullberg, B.J., van der Ven, A.J., Hill, A.V., Pickkers, P., van der Meer, J.W., O'Neill, L.A., Netea, M.G., 2009. Functional and genetic evidence that the Mal/TIRAP allele variant 180L has been selected by providing protection against septic shock. Proc. Natl. Acad. Sci. U. S. A. 106, 10272-10277.
31. Franklin, B.S., Ishizaka, S.T., Lamphier, M., Gusovsky, F., Hansen, H., Rose, J., Zheng, W., Ataide, M.A., de Oliveira, R.B., Golenbock, D.T., Gazzinelli, R.T., 2011. Therapeutical targeting of nucleic acid-sensing Toll-like receptors prevents experimental cerebral malaria. Proc. Natl. Acad. Sci. U. S. A. 108, 3689-3694.
32. Fujii, A., Kase, Y., Suzuki, C., Kamizono, A., Imada, T., 2013. An fc gamma receptor-mediated upregulation of the production of interleukin 10 by intravenous immunoglobulin in bone-marrow-derived mouse dendritic cells stimulated with lipopolysaccharide in vitro. J. Signal Transduct.
33. Funami, K., Sasai, M., Ohba, Y., Oshiumi, H., Seya, T., Matsumoto, M., 2007. Spatiotemporal mobilization of Toll/IL-1 receptor domain-containing adaptor molecule-1 in response to dsrna. J. Immunol. 179, 6867-6872.
34. Gansner, E., Koutsofios, E., North, S., 2006. Drawing graphs with dot. Technical Report Technical report, AT&T Research. http://www.graphviz.org/Documentation/dotguide.pdf
35. Green, S., Vaughn, D.W., Kalayanarooj, S., Nimmannitya, S., Suntayakorn, S., Nisalak, A., Rothman, A.L., Ennis, F.A., 1999. Elevated plasma interleukin-10 levels in acute dengue correlate with disease severity. J. Med. Virol. 59, 329-334.
36. Guha-Sapir, D., Schimmer, B., et al., 2005. Dengue fever: new paradigms for a changing epidemiology. Emerg. Themes Epidemiol. 2, 1-10.
37. Guzmán, M.G., Kouri, G., 2002. Dengue: an update. Lancet Infect. Dis. 2, 33-42.
38. Halstead, S.B., 2003. Neutralization and antibody-dependent enhancement of dengue viruses. Adv. Virus Res. 60, 421-467.
39. Halstead, S.B., Mahalingam, S., Marovich, M.A., Ubol, S., Mosser, D.M., 2010. Intrinsic antibody-dependent enhancement of microbial infection in macrophages: disease regulation by immune complexes. Lancet Infect. Dis. 10, 712-722.
40. Hamann, L., Kumpf, O., Schuring, R.P., Alpsoy, E., Bedu-Addo, G., Bienzle, U., Oskam, L., Mockenhaupt, F.P., Schumann, R.R., 2009. Low frequency of the TIRAP S180L polymorphism in Africa, and its potential role in malaria, sepsis, and leprosy. BMC Med. Genet. 10, 65.
41. Henzinger, T.A., Ho, P.-H., Wong-Toi, H., 1997. Hytech: a model checker for hybrid systems. In: Computer Aided Verification. Springer, Haifa, Israel, pp. 460-463.
42. Henzinger, T.A., and Wong-Toi, H. (1995). Using hytech to synthesize control parameters for a steam boiler. In: Abrial, J.-R., Brger E.,& Langmaack H. (Eds.), Formal Methods for Industrial Applications. Springer; Dagstuhl, Germany volume 1165 of Lecture Notes in Computer Science, pp. 265-282, http://dblp.uni-trier.de/db/conf/dagstuhl/fm1995.html#HenzingerW95
43. Hoebe, K., Janssen, E., Beutler, B., 2004. The interface between innate and adaptive immunity. Nat. Immunol. 5.
44. Hoebe, K., Janssen, E.M., Kim, S.O., Alexopoulou, L., Flavell, R.A., Han, J., Beutler, B., 2003. Upregulation of costimulatory molecules induced by lipopolysaccharide and double-stranded RNA occurs by TRIF-dependent and TRIF-independent pathways. Nat. Immunol. 4, 1223-1229.
45. Ideker, T., Ozier, O., Schwikowski, B., Siegel, A.F., 2002. Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics 18, S233-S240.
46. Iwasaki, A., Medzhitov, R., 2004. Toll-like receptor control of the adaptive immune responses. Nat. Immunol. 5, 987-995.
47. Kawai, T., Akira, S., 2011. Toll-like receptors and their crosstalk with other innate receptors in infection and immunity. Immunity 34, 637-650.
48. Khalis, Z., Comet, J.-P., Richard, A., Bernot, G., 2009. The SMBioNet method for discovering models of gene regulatory networks. Genes. Genomes and Genomics 3, 15-22.
49. Khor, C.C., Chapman, S.J., Vannberg, F.O., Dunne, A., Murphy, C., Ling, E.Y., Frodsham, A.J., Walley, A.J., Kyrieleis, O., Khan, A., Aucan, C., Segal, S., Moore, C.E., Knox, K., Campbell, S.J., Lienhardt, C., Scott, A., Aaby, P., Sow, O.Y., Grignani, R.T., Sillah, J., Sirugo, G., Peshu, N., Williams, T.N., Maitland, K., Davies, R.J., Kwiatkowski, D.P., Day, N.P., Yala, D., Crook, D.W., Marsh, K., Berkley, J.A., O'Neill, L.A., Hill, A.V., 2007. A Mal functional variant is associated with protection against invasive pneumococcal disease, bacteremia, malaria and tuberculosis. Nat. Genet. 39, 523-528.
50. Kinjyo, I., Inoue, H., Hamano, S., Fukuyama, S., Yoshimura, T., Koga, K., Takaki, H., Himeno, K., Takaesu, G., Kobayashi, T., et al., 2006. Loss of socs3 in T helper cells resulted in reduced immune responses and hyperproduction of interleukin 10 and transforming growth factor-β1. J. Exp. Med. 203, 1021-1031.
51. Kitano, H., 2002. Computational systems biology. Nature 420, 206-210.
52. Kitano, H., et al., 2001. Foundations of Systems Biology. MIT press, Cambridge.
53. Kliks, S.C., Nisalak, A., Brandt, W.E., Wahl, L., Burke, D.S., 1989. Antibody-dependent enhancement of dengue virus growth in human monocytes as a risk factor for dengue hemorrhagic fever. Technical Report DTIC Document.
54. Kramer, L.D., Kauffman, E., 2008. Emerging infectious diseases: trends and issues. Emerg. Infect. Dis. 14, 357.
55. Kulka, M., Alexopoulou, L., Flavell, R.A., Metcalfe, D.D., 2004. Activation of mast cells by double-stranded RNA: evidence for activation through toll-like receptor 3. J. Allergy Clin. Immunol. 114, 174-182.
56. Lam, P, Tam, D., Diet, T., Tam, C., Tien, N., Kieu, N., Simmons, C., Farrar, J., Qui, P., Dung, N., et al., 2013. Dengue shock syndrome in children: clinical features and a prognostic model for profound shock. Tropical Medicine and International Health, vol. 18. Wiley-Blackwell, Hoboken, NJ, USA, pp. 53-54.
57. Lee, C.-E., 2011. Activation of p53 and NF-κB degradation by SOCS1 to promote cancer cell apoptosis and to suppress implanted tumor growth. J. Immunol. 186, 165-247.
58. Mendoza, L., 2006. A network model for the control of the differentiation process in th cells. Biosystems 84, 101-114.
59. Mendoza, L., Thieffry, D., Alvarez-Buylla, E.R., 1999. Genetic control of flower morphogenesis in arabidopsis thaliana: a logical analysis. Bioinformatics 15, 593-606.
60. Muñoz-Jordán, J.L., Sánchez-Burgos, G.G., Laurent-Rolle, M., García-Sastre, A., 2003. Inhibition of interferon signaling by dengue virus. Proc. Natl. Acad. Sci. U. S. A. 100, 14333-21433.
61. Organization, W. H., for Research, S. P., in Tropical Diseases, T., of Control of Neglected Tropical Diseases, W. H. O. D., Epidemic, W. H. O., and Alert, P. (2009). Dengue: guidelines for diagnosis, treatment, prevention and control. World Health Organization.
62. Organization, W. H. et al. (2014). Dengue and severe dengue. 2012. factsheet no. 117 update march 2014.
63. Panne, D., McWhirter, S.M., Maniatis, T., Harrison, S.C., 2007. Interferon regulatory factor 3 is regulated by a dual phosphorylation-dependent switch. J. Biol. Chem. 282, 22816-22822.
64. Paracha, R.Z., Ali, A., Ahmad, J., Hussain, R., Niazi, U., Muhammad, S.A., 2014. Structural evaluation of {BTK} and pkc mediated phosphorylation of {MAL} at positions TYR86 and TYR106. Comput. Biol. Chem., http://www.sciencedirect.com/science/article/pii/S1476927114000516. doi:10.1016/j.compbiolchem.2014.04.001.
65. Patil, S., Pincas, H., Seto, J., Nudelman, G., Nudelman, I., Sealfon, S.C., 2010. Signaling network of dendritic cells in response to pathogens: a community-input supported knowledgebase. BMC Syst. Biol. 4, 137.
66. Qin, H., Niyongere, S.A., Lee, S.J., Baker, B.J., Benveniste, E.N., 2008. Expression and functional significance of socs-1 and socs-3 in astrocytes. J. Immunol. 181, 3167-3176.
67. Qin, H., Wilson, C.A., Lee, S.J., Benveniste, E.N., 2006. IFN-β-induced socs-1 negatively regulates CD40 gene expression in macrophages and microglia. FASEB J. 20, 985-987.
68. Ramasawmy, R., Cunha-Neto, E., Fae, K.C., Borba, S.C., Teixeira, P.C., Ferreira, S.C., Goldberg, A.C., Ianni, B., Mady, C., Kalil, J., 2009. Heterozygosity for the S180L variant of MAL/TIRAP, a gene expressing an adaptor protein in the Toll-like receptor pathway, is associated with lower risk of developing chronic Chagas cardiomyopathy. J. Infect. Dis. 199, 1838-1845.
69. Rao, V.S.H., Durvasula, R., 2013. Dynamic Models of Infectious Diseases. Springer.
70. Ravetch, J.V., Lanier, L.L., 2000. Immune inhibitory receptors. Science 290, 84-89.
71. Richard, A., Bernot, J.-P., Richard, G., 2006. Formal methods for modeling biological regulatory networks. In: Modern Formal Methods and Applications. Springer, pp. 83-122.
72. Richard, A., Rossignol, G., Comet, J.-P., Bernot, G., Guespin-Michel, J., Merieau, A., 2012. Boolean models of biosurfactants production in Pseudomonas fluorescens. PLoS ONE 7, e24651.
73. Rodrigo, W.S.I., Jin, X., Blackley, S.D., Rose, R.C., Schlesinger, J.J., 2006. Differential enhancement of dengue virus immune complex infectivity mediated by signaling-competent and signaling-incompetent human fcγria (CD64) or fcγriia (CD32). J. Virol. 80, 10128-10138.
74. Sam, S.-S., Omar, S.F.S., Teoh, B.-T., Abd-Jamil, J., AbuBakar, S., 2013. Review of dengue hemorrhagic fever fatal cases seen among adults: a retrospective study. PLOS Negl. Trop. Dis. 7, e2194.
75. Sanchez, L., Thieffry, D., 2003. Segmenting the fly embryo: a logical analysis of the pair-rule cross-regulatory module. J. Theor. Biol. 224, 517-537.
76. Sariol, C.A., Martínez, M.I., Rivera, F., Rodríguez, I.V., Pantoja, P., Abel, K., Arana, T., Giavedoni, L., Hodara, V., White, L.J., et al., 2011. Decreased dengue replication and an increased anti-viral humoral response with the use of combined toll-like receptor 3 and 7/8 agonists in macaques. PLoS ONE 6, e19323.
77. Sato, S., Sugiyama, M., Yamamoto, M., Watanabe, Y., Kawai, T., Takeda, K., Akira, S., 2003. Toll/IL-1 receptor domain-containing adaptor inducing IFN-β (trif) associates with tnf receptor-associated factor 6 and tank-binding kinase 1, and activates two distinct transcription factors, NF-κB and IFN-regulatory factor-3, in the toll-like receptor signaling. J. Immunol. 171, 4304-4310.
78. Shresta, S., Kyle, J.L., Snider, H.M., Basavapatna, M., Beatty, P.R., Harris, E., 2004. Interferon-dependent immunity is essential for resistance to primary dengue virus infection in mice, whereas T- and B-cell-dependent immunity are less critical. J. Virol. 78, 2701-2710.
79. Snoussi, E.H., Thomas, R., 1993. Logical identification of all steady states: the concept of feedback loop characteristic states. Bull. Math. Biol. 55, 973-991.
80. Song, M.M., Shuai, K., 1998. The suppressor of cytokine signaling (socs) 1 and SOCS3 but not SOCS2 proteins inhibit interferon-mediated antiviral and antiproliferative activities. J. Biol. Chem. 273, 35056-35062.
81. Streck, A., Krejci, A., Brim, L., Barnat, J., Safranek, D., Vejnar, M., Vejpustek, T., 2012. On parameter synthesis by parallel model checking. IEEE/ACM Trans. Comput. Biol. Bioinf. 9, 693-705, http://dx.doi.org/10.1109/TCBB.2011.110.
82. Sun, P., Fernandez, S., Marovich, M.A., Palmer, D.R., Celluzzi, C.M., Boonnak, K., Liang, Z., Subramanian, H., Porter, K.R., Sun, W., et al., 2009. Functional characterization ofex vivo< /i>blood myeloid and plasmacytoid dendritic cells after infection with dengue virus. Virology 383, 207-215.
83. Takaesu, G., Kishida, S., Hiyama, A., Yamaguchi, K., Shibuya, H., Irie, K., Ninomiya-Tsuji, J., Matsumoto, K., 2000. Tab2, a novel adaptor protein, mediates activation of TAK1 MAPKKK by linking TAK1 to TRAF6 in the IL-1 signal transduction pathway. Mol. Cell 5, 649-658.
84. Thieffry, D., Sanchez, L., 2002. Alternative epigenetic states understood in terms of specific regulatory structures. Ann. N. Y. Acad. Sci. 981, 135-153.
85. Thomas, R., 1978. Logical analysis of systems comprising feedback loops. J. Theor. Biol. 73, 631-656.
86. Thomas, R., 1979. Kinetic logic: a Boolean approach to the analysis of complex regulatory systems. Lecture Notes in Biomathematics, 29., pp. 507.
87. Thomas, R., 1991. Regulatory networks seen as asynchronous automata: a logical description. J. Theor. Biol. 153, 1-23.
88. Thomas, R., d'Ari, R., 1990. Biological Feedback. CRC Press.
89. Thomas, R., Kaufman, M., 2001. Multistationarity, the basis of cell differentiation and memory. II. Logical analysis of regulatory networks in terms of feedback circuits. Chaos: Interdiscip. J. Nonlinear Sci. 11, 180-195.
90. Thomas, R., Thieffry, D., Kaufman, M., 1995. Dynamical behaviour of biological regulatory networks-I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state. Bull. Math. Biol. 57, 247-276.
91. Thomas, R., et al., 1998. Laws for the dynamics of regulatory networks. Int. J. Dev. Biol. 42, 479-485.
92. Tomchuck, S.L., Henkle, S.L., Coffelt, S.B., Betancourt, A.M., 2012. Toll-like receptor 3 and suppressor of cytokine signaling proteins regulate CXCR4 and CXCR7 expression in bone marrow-derived human multipotent stromal cells. PLoS ONE 7, e39592.
93. Tsai, Y.-T., Chang, S.-Y., Lee, C.-N., Kao, C.-L., 2009. Human TLR3 recognizes dengue virus and modulates viral replication in vitro. Cell. Microbiol. 11, 604-615.
94. Ubol, S., Phuklia, W., Kalayanarooj, S., Modhiran, N., 2010. Mechanisms of immune evasion induced by a complex of dengue virus and preexisting enhancing antibodies. J. Infect. Dis. 201, 923-935.
95. Vaughn, D.W., Green, S., Kalayanarooj, S., Innis, B.L., Nimmannitya, S., Suntayakorn, S., Endy, T.P., Raengsakulrach, B., Rothman, A.L., Ennis, F.A., et al., 2000. Dengue viremia titer, antibody response pattern, and virus serotype correlate with disease severity. J. Infect. Dis. 181, 2-9.
96. Wang, J.P., Liu, P., Latz, E., Golenbock, D.T., Finberg, R.W., Libraty, D.H., 2006. Flavivirus activation of plasmacytoid dendritic cells delineates key elements of TLR7 signaling beyond endosomal recognition. J. Immunol. 177, 7114-7121.
97. Xi, Z., Ramirez, J.L., Dimopoulos, G., 2008. The Aedes aegypti toll pathway controls dengue virus infection. PLoS Pathog. 4, e1000098.