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探索免疫细胞功能的整合多组学方法:挑战与机遇

Integrative multi-omics approaches to explore immune cell functions: Challenges and opportunities.

作者信息

Wang Xu, Fan Dian, Yang Yuqing, Gimple Ryan C, Zhou Shengtao

机构信息

Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China.

Department of Pathology, Case Western Reserve University, Cleveland, OH, USA.

出版信息

iScience. 2023 Mar 9;26(4):106359. doi: 10.1016/j.isci.2023.106359. eCollection 2023 Apr 21.

Abstract

As modern biological sciences evolve from investigation of individual molecules and pathways to growing emphasis on global and systems-based processes, increasing efforts have focused on combining the study of genomics with that of the other omics technologies, including epigenomics, transcriptomics, quantitative proteomics, global analyses of post-translational modifications (PTMs) and metabolomics, to characterize specific biological or pathological processes. In addition, emerging genome-wide functional screening technologies further help researchers identify key regulators of immune functions. Derived from these multi-omics technologies, single cell sequencing analysis on multiple layers offers an overview of intra-tissue or intra-organ immune cell heterogeneity. In this review, we summarize advances in multi-omics tools to explore immune cell functions and applications of these multi-omics approaches in the analysis of clinical immune disorders, aiming to provide an outlook on the potential opportunities and challenges that these technologies pose in future investigation in the field of immunology.

摘要

随着现代生物科学从对单个分子和信号通路的研究,逐渐转向越来越重视基于全局和系统的过程,人们越来越致力于将基因组学研究与其他组学技术相结合,包括表观基因组学、转录组学、定量蛋白质组学、翻译后修饰(PTM)的全局分析和代谢组学,以表征特定的生物学或病理过程。此外,新兴的全基因组功能筛选技术进一步帮助研究人员确定免疫功能的关键调节因子。基于这些多组学技术,多层单细胞测序分析提供了组织内或器官内免疫细胞异质性的概况。在这篇综述中,我们总结了多组学工具在探索免疫细胞功能方面的进展,以及这些多组学方法在临床免疫紊乱分析中的应用,旨在展望这些技术在未来免疫学领域研究中带来的潜在机遇和挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13d/10060681/eff4cb5db7cb/fx1.jpg

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