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多组学研究解读免疫功能不断发展的标准模型。

Multi-omics studies in interpreting the evolving standard model for immune functions.

机构信息

IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India.

出版信息

Brief Funct Genomics. 2024 Jan 18;23(1):75-81. doi: 10.1093/bfgp/elad003.

Abstract

A standard model that is able to generalize data on myriad involvement of the immune system in organismal physio-pathology and to provide a unified evolutionary teleology for immune functions in multicellular organisms remains elusive. A number of such 'general theories of immunity' have been proposed based on contemporaneously available data, starting with the usual description of self-nonself discrimination, followed by the 'danger model' and the more recent 'discontinuity theory.' More recent data deluge on involvement of immune mechanisms in a wide variety of clinical contexts, a number of which fail to get readily accommodated into the available teleologic standard models, makes deriving a standard model of immunity more challenging. But technological advances enabling multi-omics investigations into an ongoing immune response, covering genome, epigenome, coding and regulatory transcriptome, proteome, metabolome and tissue-resident microbiome, bring newer opportunities for developing a more integrative insight into immunocellular mechanisms within different clinical contexts. The new ability to map the heterogeneity of composition, trajectory and endpoints of immune responses, in both health and disease, also necessitates incorporation into the potential standard model of immune functions, which again can only be achieved through multi-omics probing of immune responses and integrated analyses of the multi-dimensional data.

摘要

一种能够概括免疫系统在机体生理病理学中众多作用的标准模型,以及为多细胞生物的免疫功能提供统一的进化目的论的标准模型仍然难以捉摸。已经提出了许多这样的“免疫一般理论”,这些理论都是基于当时可用的数据,首先是自我-非我识别的通常描述,其次是“危险模型”和最近的“不连续性理论”。最近大量的数据表明,免疫机制参与了各种临床情况,但其中有一些情况很难被纳入现有的目的论标准模型,这使得免疫的标准模型的推导更加具有挑战性。但是,能够对正在进行的免疫反应进行多组学研究的技术进步,涵盖了基因组、表观基因组、编码和调节转录组、蛋白质组、代谢组和组织驻留微生物组,为在不同的临床环境中对免疫细胞机制有更综合的认识提供了新的机会。在健康和疾病中,对免疫反应的组成、轨迹和终点的异质性进行映射的新能力,也需要纳入免疫功能的潜在标准模型中,而这同样只能通过对免疫反应进行多组学探测和对多维数据进行综合分析来实现。

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