Methods and applications for single-cell and spatial multi-omics.
Katy VandereykenAlejandro SifrimBernard ThienpontThierry VoetPublished in: Nature reviews. Genetics (2023)
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.
Keyphrases
- single cell
- rna seq
- high throughput
- induced apoptosis
- healthcare
- public health
- dna methylation
- genome wide
- mental health
- cell cycle arrest
- pain management
- gene expression
- stem cells
- cell proliferation
- oxidative stress
- mesenchymal stem cells
- reactive oxygen species
- climate change
- endoplasmic reticulum stress
- cell death
- signaling pathway
- bone marrow