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鱼类黏膜免疫中的组学

Omics in fish mucosal immunity.

作者信息

Salinas Irene, Magadán Susana

机构信息

Center for Evolutionary and Theoretical Immunology (CETI), Department of Biology, MSC03 2020, University of New Mexico, Albuquerque, NM 87131, USA.

Center for Evolutionary and Theoretical Immunology (CETI), Department of Biology, MSC03 2020, University of New Mexico, Albuquerque, NM 87131, USA; Immunology Laboratory, Biomedical Research Center (CINBIO), University of Vigo, Campus Lagoas Marcosende, Vigo, Pontevedra 36310, Spain.

出版信息

Dev Comp Immunol. 2017 Oct;75:99-108. doi: 10.1016/j.dci.2017.02.010. Epub 2017 Feb 21.

Abstract

The mucosal immune system of fish is a complex network of immune cells and molecules that are constantly surveilling the environment and protecting the host from infection. A number of "omics" tools are now available and utilized to understand the complexity of mucosal immune systems in non-traditional animal models. This review summarizes recent advances in the implementation of "omics" tools pertaining to the four mucosa-associated lymphoid tissues in teleosts. Genomics, transcriptomics, proteomics, and "omics" in microbiome research require interdisciplinary collaboration and careful experimental design. The data-rich datasets generated are proving really useful at discovering new innate immune players in fish mucosal secretions, identifying novel markers of specific mucosal immune responses, unraveling the diversity of the B and T cell repertoires and characterizing the diversity of the microbial communities present in teleost mucosal surfaces. Bioinformatics, data analysis and storage platforms should be developed to facilitate rapid processing of large datasets, especially when mammalian tools such as bioinformatics analysis software are not available in fishes.

摘要

鱼类的黏膜免疫系统是一个由免疫细胞和分子构成的复杂网络,它们不断监测环境并保护宿主免受感染。现在有许多“组学”工具可用于理解非传统动物模型中黏膜免疫系统的复杂性。本综述总结了在硬骨鱼中与四种黏膜相关淋巴组织有关的“组学”工具应用的最新进展。基因组学、转录组学、蛋白质组学以及微生物组研究中的“组学”需要跨学科合作和精心的实验设计。所生成的富含数据的数据集在发现鱼类黏膜分泌物中的新的天然免疫参与者、识别特定黏膜免疫反应的新标志物、揭示B细胞和T细胞受体库的多样性以及表征硬骨鱼黏膜表面存在的微生物群落多样性方面已证明非常有用。应开发生物信息学、数据分析和存储平台,以促进对大型数据集的快速处理,特别是当鱼类中没有诸如生物信息学分析软件等哺乳动物工具时。

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