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A Systems Biology Approach to Study Systemic Inflammation

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Immunoinformatics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1184))

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Abstract

Systemic inflammation needs a precise control on the sequence and magnitude of occurring events. The high throughput data on the host–pathogen interactions gives us an opportunity to have a glimpse on the systemic inflammation. In this article, a dynamic Candida albicans–zebrafish interactive infectious network is built as an example to demonstrate how systems biology approach can be used to study systematic inflammation. In particular, based on microarray data of C. albicans and zebrafish during infection, the hyphal growth, zebrafish, and host–pathogen intercellular PPI networks were combined to form an integrated infectious PPI network that helps us understand the systematic mechanisms underlying the pathogenicity of C. albicans and the immune response of the host. The signaling pathways for morphogenesis and hyphal growth of C. albicans were 2 significant interactions found in the intercellular PPI network. Two cellular networks were also developed corresponding to the different infection stages (adhesion and invasion), and then compared with each other to identify proteins to gain more insight into the pathogenic role of hyphal development in the C. albicans infection process. Important defense-related proteins in zebrafish were predicted using the same approach. This integrated network consisting of intercellular invasion and cellular defense processes during infection can improve medical therapies and facilitate development of new antifungal drugs.

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References

  1. Leroy O, Gangneux JP, Montravers P, Mira JP, Gouin F, Sollet JP et al (2009) Epidemiology management, and risk factors for death of invasive Candida infections in critical care: a multicenter, prospective, observational study in France (2005–2006). Crit Care Med 37: 1612–1618

    Article  PubMed  Google Scholar 

  2. Kojic EM, Darouiche RO (2004) Candida infections of medical devices. Clin Microbiol Rev 17:255–267

    Article  PubMed Central  PubMed  Google Scholar 

  3. Seneviratne CJ, Jin L, Samaranayake LP (2008) Biofilm lifestyle of Candida: a mini review. Oral Dis 14:582–590

    Article  CAS  PubMed  Google Scholar 

  4. Pfaller MA, Diekema DJ (2007) Epidemiology of invasive candidiasis: a persistent public health problem. Clin Microbiol Rev 20:133–163

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  5. Olorode OA, Okpokwasili GC (2012) The efficacy of disinfectants on abattoirs’ Candida albicans isolates in Niger Delta region. Mycoses 55:323–323

    Google Scholar 

  6. Lo HJ, Kohler JR, DiDomenico B, Loebenberg D, Cacciapuoti A, Fink GR (1997) Nonfilamentous C. albicans mutants are avirulent. Cell 90:939–949

    Article  CAS  PubMed  Google Scholar 

  7. Calderone RA, Fonzi WA (2001) Virulence factors of Candida albicans. Trends Microbiol 9:327–335

    Article  CAS  PubMed  Google Scholar 

  8. Leberer E, Ziegelbauer K, Schmidt A, Harcus D, Dignard D, Ash J et al (1997) Virulence and hyphal formation of Candida albicans require the Ste20p-like protein kinase CaCla4p. Curr Biol 7:539–546

    Article  CAS  PubMed  Google Scholar 

  9. Ihmels J, Bergmann S, Berman J, Barkai N (2005) Comparative gene expression analysis by differential clustering approach: application to the Candida albicans transcription program. PLoS Genet 1:e39

    Article  PubMed Central  PubMed  Google Scholar 

  10. Goffeau A, Barrell BG, Bussey H, Davis RW, Dujon B, Feldmann H et al (1996) Life with 6000 genes. Science 274:546, 563–567

    Article  CAS  PubMed  Google Scholar 

  11. Meeker ND, Trede NS (2008) Immuno-logy and zebrafish: spawning new models of human disease. Dev Comp Immunol 32: 745–757

    Article  CAS  PubMed  Google Scholar 

  12. Sullivan C, Kim CH (2008) Zebrafish as a model for infectious disease and immune function. Fish Shellfish Immunol 25:341–350

    Article  CAS  PubMed  Google Scholar 

  13. Amsterdam A, Hopkins N (2006) Mutagenesis strategies in zebrafish for identifying genes involved in development and disease. Trends Genet 22:473–478

    Article  CAS  PubMed  Google Scholar 

  14. Postlethwait J, Amores A, Force A, Yan YL (1999) The zebrafish genome. Methods Cell Biol 60:149–163

    Article  CAS  PubMed  Google Scholar 

  15. Chao CC, Hsu PC, Jen CF, Chen IH, Wang CH, Chan HC et al (2010) Zebrafish as a model host for Candida albicans infection. Infect Immun 78:2512–2521

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  16. Orntoft TF, Thykjaer T, Waldman FM, Wolf H, Celis JE (2002) Genome-wide study of gene copy numbers transcripts, and protein levels in pairs of non-invasive and invasive human transitional cell carcinomas. Mol Cell Proteomics 1:37–45

    Article  CAS  PubMed  Google Scholar 

  17. Newman JRS, Ghaemmaghami S, Ihmels J, Breslow DK, Noble M, DeRisi JL et al (2006) Single-cell proteomic analysis of S-cerevisiae reveals the architecture of biological noise. Nature 441:840–846

    Article  CAS  PubMed  Google Scholar 

  18. Alon U (2007) An introduction to systems biology: design principles of biological circuits. Chapman & Hall/CRC, Boca Raton, FL

    Google Scholar 

  19. Akaike H (1974) New look at statistical-model identification. IEEE Trans Automat Contr Ac19:716–723

    Article  Google Scholar 

  20. Johansson R (1993) System modeling and identification. Prentice Hall, Englewood Cliffs, NJ

    Google Scholar 

  21. Wu WS, Li WH, Chen BS (2007) Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data. BMC Bioinformatics 8:188

    Article  PubMed Central  PubMed  Google Scholar 

  22. Edwards JE Jr, Rotrosen D, Fontaine JW, Haudenschild CC, Diamond RD (1987) Neutrophil-mediated protection of cultured human vascular endothelial cells from damage by growing Candida albicans hyphae. Blood 69:1450–1457

    PubMed  Google Scholar 

  23. Hummert S, Hummert C, Schroter A, Hube B, Schuster S (2010) Game theoretical modelling of survival strategies of Candida albicans inside macrophages. J Theor Biol 264: 312–318

    Article  CAS  PubMed  Google Scholar 

  24. Efron B, Tibshirani R (1993) An introduction to the bootstrap. Chapman & Hall, New York, NY

    Book  Google Scholar 

  25. Dyer SA, Dyer JS (2001) Cubic-spline interpolation: part 1. IEEE Instrum Meas Mag 4:44–46

    Article  Google Scholar 

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Correspondence to Bor-Sen Chen .

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© 2014 Springer Science+Business Media New York

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Chen, BS., Wu, CC. (2014). A Systems Biology Approach to Study Systemic Inflammation. In: De, R., Tomar, N. (eds) Immunoinformatics. Methods in Molecular Biology, vol 1184. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1115-8_23

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  • DOI: https://doi.org/10.1007/978-1-4939-1115-8_23

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1114-1

  • Online ISBN: 978-1-4939-1115-8

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