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整合单细胞多组学和先前的生物学知识以对免疫系统进行功能表征。

Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system.

作者信息

Schäfer Philipp Sven Lars, Dimitrov Daniel, Villablanca Eduardo J, Saez-Rodriguez Julio

机构信息

Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.

Division of Immunology and Allergy, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden.

出版信息

Nat Immunol. 2024 Mar;25(3):405-417. doi: 10.1038/s41590-024-01768-2. Epub 2024 Feb 27.

Abstract

The immune system comprises diverse specialized cell types that cooperate to defend the host against a wide range of pathogenic threats. Recent advancements in single-cell and spatial multi-omics technologies provide rich information about the molecular state of immune cells. Here, we review how the integration of single-cell and spatial multi-omics data with prior knowledge-gathered from decades of detailed biochemical studies-allows us to obtain functional insights, focusing on gene regulatory processes and cell-cell interactions. We present diverse applications in immunology and critically assess underlying assumptions and limitations. Finally, we offer a perspective on the ongoing technological and algorithmic developments that promise to get us closer to a systemic mechanistic understanding of the immune system.

摘要

免疫系统由多种专门的细胞类型组成,它们协同作用以保护宿主抵御各种致病威胁。单细胞和空间多组学技术的最新进展提供了有关免疫细胞分子状态的丰富信息。在这里,我们回顾了如何将单细胞和空间多组学数据与从数十年详细生化研究中收集的先验知识相结合,使我们能够获得功能见解,重点关注基因调控过程和细胞间相互作用。我们展示了在免疫学中的各种应用,并批判性地评估了潜在的假设和局限性。最后,我们对正在进行的技术和算法发展提出了展望,这些发展有望使我们更接近对免疫系统的系统机制理解。

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