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

Autor: Schäfer PSL; Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany., Dimitrov D; Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany., Villablanca EJ; Division of Immunology and Allergy, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden.; Center of Molecular Medicine, Stockholm, Sweden., Saez-Rodriguez J; Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany. pub.saez@uni-heidelberg.de.
Jazyk: angličtina
Zdroj: Nature immunology [Nat Immunol] 2024 Mar; Vol. 25 (3), pp. 405-417. Date of Electronic Publication: 2024 Feb 27.
DOI: 10.1038/s41590-024-01768-2
Abstrakt: 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.
(© 2024. Springer Nature America, Inc.)
Databáze: MEDLINE
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