Network representations of immune system complexity

Naeha Subramanian, Parizad Torabi-Parizi, Rachel A. Gottschalk, Ronald N. Germain, Bhaskar Dutta
<span title="">2015</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="" style="color: black;">Wiley Interdisciplinary Reviews: Systems Biology and Medicine</a> </i> &nbsp;
The mammalian immune system is a dynamic multi-scale system composed of a hierarchically organized set of molecular, cellular and organismal networks that act in concert to promote effective host defense. These networks range from those involving gene regulatory and proteinprotein interactions underlying intracellular signaling pathways and single cell responses to increasingly complex networks of in vivo cellular interaction, positioning and migration that determine the overall immune response
more &raquo; ... of an organism. Immunity is thus not the product of simple signaling events but rather non-linear behaviors arising from dynamic, feedback-regulated interactions among many components. One of the major goals of systems immunology is to quantitatively measure these complex multi-scale spatial and temporal interactions, permitting development of computational models that can be used to predict responses to perturbation. Recent technological advances permit collection of comprehensive datasets at multiple molecular and cellular levels while advances in network biology support representation of the relationships of components at each level as physical or functional interaction networks. The latter facilitate effective visualization of patterns and recognition of emergent properties arising from the many interactions of genes, molecules, and cells of the immune system. We illustrate the power of integrating 'omics' and network modeling approaches for unbiased reconstruction of signaling and transcriptional networks with a focus on applications involving the innate immune system. We further discuss future possibilities for reconstruction of increasingly complex cellular and organism-level networks and development of sophisticated computational tools for prediction of emergent immune behavior arising from the concerted action of these networks.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1002/wsbm.1288</a> <a target="_blank" rel="external noopener" href="">pmid:25625853</a> <a target="_blank" rel="external noopener" href="">pmcid:PMC4339634</a> <a target="_blank" rel="external noopener" href="">fatcat:pe7eqjaqijhgrhhz5wtfep42ju</a> </span>
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