title: Systems biology of asthma and allergic diseases: a multiscale approach.
abstract: Systems biology is an approach to understanding living systems that focuses on modeling diverse types of high-dimensional interactions to develop a more comprehensive understanding of complex phenotypes manifested by the system. High-throughput molecular, cellular, and physiologic profiling of populations is coupled with bioinformatic and computational techniques to identify new functional roles for genes, regulatory elements, and metabolites in the context of the molecular networks that define biological processes associated with system physiology. Given the complexity and heterogeneity of asthma and allergic diseases, a systems biology approach is attractive, as it has the potential to model the myriad connections and interdependencies between genetic predisposition, environmental perturbations, regulatory intermediaries, and molecular sequelae that ultimately lead to diverse disease phenotypes and treatment responses across individuals. The increasing availability of high-throughput technologies has enabled system-wide profiling of the genome, transcriptome, epigenome, microbiome, and metabolome, providing fodder for systems biology approaches to examine asthma and allergy at a more holistic level. In this article we review the technologies and approaches for system-wide profiling, as well as their more recent applications to asthma and allergy. We discuss approaches for integrating multiscale data through network analyses and provide perspective on how individually captured health profiles will contribute to more accurate systems biology views of asthma and allergy.
authors.affiliation: Department of Genetics and Genomic Sciences and the Icahn Institute for Genomics and Multiscale Biology, New York, NY; Division of Pediatric Allergy and Immunology, Department of Pediatrics, and the Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: supinda@post.harvard.edu.
authors.forename: Supinda
authors.initials: S
authors.lastname: Bunyavanich
authors.affiliation: Department of Genetics and Genomic Sciences and the Icahn Institute for Genomics and Multiscale Biology, New York, NY.
authors.forename: Eric E
authors.initials: EE
authors.lastname: Schadt
mesh_terms: D000818:Animals; D016678:Genome; D006801:Humans; D006967:Hypersensitivity / Q000235:genetics / Q000378:metabolism / Q000382:microbiology; D055442:Metabolome; D064307:Microbiota; D049490:Systems Biology; D059467:Transcriptome
keywords: Systems biology; allergy; asthma; atopic; big data; epigenome; genome; individual health profile; metabolome; microbiome; network; transcriptome