Kumar Selvarajoo

Immuno Systems Biology (eBook, PDF)

A macroscopic approach for immune cell signaling

• Format: PDF

Produktbeschreibung

Immuno Systems Biology aims to study the immune system in the more integrated manner on how cells and molecules participate at different system levels to the immune function. Through this book Kumar Selvarajoo introduces to physicists, chemists, computer scientists, biologists and immunologists the idea of an integrated approach to the understanding of mammalian immune system. Geared towards a researcher with limited immunological and computational analytical experience, the book provides a broad overview to the subject and some instruction in basic computational, theoretical and experimental approaches. The book links complex immunological processes with computational analysis and emphasizes the importance of immunology to the mammalian system.

Produktdetails

• Verlag: Springer New York
• Erscheinungstermin: 1. Oktober 2013
• Englisch
• ISBN-13: 9781461476900
• Artikelnr.: 43801398

Inhaltsangabe

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.

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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.