解释不断演变的免疫功能标准模型的多组学研究。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Dipyaman Ganguly
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引用次数: 0

摘要

一个能够概括免疫系统参与生物体生理病理过程的各种数据,并为多细胞生物体的免疫功能提供统一的进化目的论的标准模型仍未出现。人们根据当时可获得的数据提出了许多这样的 "免疫一般理论",首先是通常的自我非我辨别描述,然后是 "危险模型 "和最近的 "不连续性理论"。最近,关于免疫机制参与各种临床情况的数据大量涌现,其中有一些无法被现有的目的论标准模型轻易纳入,这使得推导免疫标准模型变得更具挑战性。但是,技术的进步使得对正在进行的免疫反应进行多组学研究成为可能,包括基因组、表观基因组、编码和调控转录物组、蛋白质组、代谢组和组织驻留微生物组,这为在不同临床环境中对免疫细胞机制进行更全面的深入研究带来了新的机遇。绘制健康和疾病中免疫反应的组成、轨迹和终点的异质性图谱的新能力也要求将其纳入潜在的免疫功能标准模型,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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-omics studies in interpreting the evolving standard model for immune functions.

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.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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