Bunyavanich Supinda, Schadt Eric E
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.
Department of Genetics and Genomic Sciences and the Icahn Institute for Genomics and Multiscale Biology, New York, NY.
J Allergy Clin Immunol. 2015 Jan;135(1):31-42. doi: 10.1016/j.jaci.2014.10.015. Epub 2014 Nov 21.
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.
系统生物学是一种理解生命系统的方法,它侧重于对各种类型的高维相互作用进行建模,以便更全面地理解系统所表现出的复杂表型。对群体进行高通量分子、细胞和生理特征分析,并结合生物信息学和计算技术,以在定义与系统生理学相关的生物过程的分子网络背景下,确定基因、调控元件和代谢物的新功能作用。鉴于哮喘和过敏性疾病的复杂性和异质性,系统生物学方法很有吸引力,因为它有潜力对遗传易感性、环境扰动、调控中介和分子后遗症之间的无数联系和相互依存关系进行建模,这些最终导致个体间不同的疾病表型和治疗反应。高通量技术的日益普及使得能够对基因组、转录组、表观基因组、微生物组和代谢组进行全系统分析,为系统生物学方法在更整体层面研究哮喘和过敏提供了素材。在本文中,我们回顾了全系统分析的技术和方法,以及它们最近在哮喘和过敏研究中的应用。我们讨论了通过网络分析整合多尺度数据的方法,并就个体采集的健康档案如何有助于形成更准确的哮喘和过敏系统生物学观点提供了见解。