Immuno Systems Biology A macroscopic approach for immune cell signaling /

• Κύριος συγγραφέας: Selvarajoo, Kumar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: Systems Biology, 3
• Θέματα: Medicine.; Immunology.; Bioinformatics.; Systems biology.; Cell biology.; Biomedicine.; Biomedicine general.; Systems Biology.; Computational Biology/Bioinformatics.; Cell Biology.

 Technological advances of modern biology have generated high volumes of ‘omics’ data. The natural precedence has been to put the complex information together, so that it will lead to spectacular scientific discoveries and medical breakthroughs. In this light, tremendous efforts worldwide are reshaping biological research by integrating with information science. Despite the ‘systems biology’ efforts, for major illnesses, such as proinflammatory diseases and cancer, there is clear clinical evidence that even the most current therapies, at best, control transient response and subdue to the robust adaptability of the disease state. Hence, there is a need for system-levels understanding of bio-complexity. Kumar Selvarajoo brings attention to fundamental questions governing sophisticated behaviors of the mammalian immune system. To tackle some of the complex issues, the book introduces perturbation-response approach, using the law of physics (mass flow conservation), as a means to interpret the dynamic response of major proinflammatory pathways of the immune and cancer cells. Overall, the book provides an illustrated journey that explains biological cell signaling in simple terms. 

 Preface -- Systems biology of population cell response -- Perturbation-response approach for biological network analysis -- Basics of the mammalian immune system -- Inferring novel features of the TLR4 pathways -- Signaling Flux Redistribution -- Investigating the TLR3 signaling dynamics -- Understanding TNFR1 signaling dynamics -- TRAIL signaling in cancer -- Stochasticity and variability: insights from single cell dynamics -- Investigating single cell stochasticity in TRAIL signaling -- The distinction between single cell and population dynamics -- Finding chaos in biology -- Concluding remarks -- Index.