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系统生物学与免疫衰老

Systems Biology and immune aging.

作者信息

O'Connor José-Enrique, Herrera Guadalupe, Martínez-Romero Alicia, de Oyanguren Francisco Sala, Díaz Laura, Gomes Angela, Balaguer Susana, Callaghan Robert C

机构信息

Laboratory of Translational Cytomics, Joint Research Unit, University of Valencia and Principe Felipe Research Center, Valencia, Spain.

Laboratory of Cytometry, Incliva Foundation, Clinical University Hospital, University of Valencia, Valencia, Spain.

出版信息

Immunol Lett. 2014 Nov;162(1 Pt B):334-45. doi: 10.1016/j.imlet.2014.09.009. Epub 2014 Sep 22.

DOI:10.1016/j.imlet.2014.09.009
PMID:25251660
Abstract

Many alterations of innate and adaptive immunity are common in the aging population, which reflect a deterioration of the immune system, and have lead to the terms "immune aging" or "immunosenescence". Systems Biology aims to the comprehensive knowledge of the structure, dynamics, control and design that define a given biological system. Systems Biology benefits from the continuous advances in the omics sciences, based on high-throughput and high-content technologies, as well as on bioinformatic tools for data mining and integration. The Systems Biology approach is becoming gradually used to propose and to test comprehensive models of aging, both at the level of the immune system and the whole organism. In this way, immune aging may be described by a dynamic view of the states and interactions of every individual cell and molecule of the immune system and their role in the context of aging and longevity. This mini-review presents a panoramics of the current strategies, tools and challenges for applying Systems Biology to immune aging.

摘要

许多先天性和适应性免疫的改变在老年人群中很常见,这反映了免疫系统的衰退,并产生了“免疫衰老”或“免疫 senescence”等术语。系统生物学旨在全面了解定义给定生物系统的结构、动态、控制和设计。系统生物学受益于组学科学的不断进步,这些进步基于高通量和高内涵技术,以及用于数据挖掘和整合的生物信息学工具。系统生物学方法正逐渐被用于提出和测试衰老的综合模型,无论是在免疫系统层面还是在整个生物体层面。通过这种方式,免疫衰老可以通过免疫系统中每个细胞和分子的状态及相互作用的动态观点及其在衰老和长寿背景下的作用来描述。本综述介绍了将系统生物学应用于免疫衰老的当前策略、工具和挑战的全景。

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