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

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 i...

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Bibliographic Details
Published in:Nature reviews. Genetics Vol. 24; no. 8; pp. 494 - 515
Main Authors: Vandereyken, Katy, Sifrim, Alejandro, Thienpont, Bernard, Voet, Thierry
Format: Journal Article
Language:English
Published: England Nature Publishing Group 01.08.2023
Subjects:
Biology
Cells
Genetics
Genome
Genomes
Information processing
Metabolome
Mitochondrial DNA
Molecular modelling
Multiomics
Principles
Proteome - genetics
Proteomes
Proteomics
Single-Cell Analysis
Transcriptome
Transcriptomes
Transcriptomics
ISSN:1471-0056, 1471-0064, 1471-0064
Online Access:Get full text
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Summary: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.
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ISSN:1471-0056
1471-0064
1471-0064
DOI:10.1038/s41576-023-00580-2