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单细胞和空间多组学的方法和应用。

Methods and applications for single-cell and spatial multi-omics.

机构信息

KU Leuven Institute for Single Cell Omics (LISCO), University of Leuven, KU Leuven, Leuven, Belgium.

Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium.

出版信息

Nat Rev Genet. 2023 Aug;24(8):494-515. doi: 10.1038/s41576-023-00580-2. Epub 2023 Mar 2.

Abstract

The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome from single cells is transforming our understanding of cell biology in health and disease. In less than a decade, the field has seen tremendous technological revolutions that enable crucial new insights into the interplay between intracellular and intercellular molecular mechanisms that govern development, physiology and pathogenesis. In this Review, we highlight advances in the fast-developing field of single-cell and spatial multi-omics technologies (also known as multimodal omics approaches), and the computational strategies needed to integrate information across these molecular layers. We demonstrate their impact on fundamental cell biology and translational research, discuss current challenges and provide an outlook to the future.

摘要

单细胞的基因组、表观基因组、转录组、蛋白质组和/或代谢组的联合分析正在改变我们对健康和疾病中的细胞生物学的理解。在不到十年的时间里,该领域发生了巨大的技术革命,使人们对控制发育、生理和发病机制的细胞内和细胞间分子机制的相互作用有了至关重要的新认识。在这篇综述中,我们重点介绍单细胞和空间多组学技术(也称为多模式组学方法)这一快速发展领域的进展,以及整合这些分子层面信息所需的计算策略。我们展示了它们对基础细胞生物学和转化研究的影响,讨论了当前的挑战,并展望了未来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e74a/9979144/4e2a88a4ff8d/41576_2023_580_Fig1_HTML.jpg

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