Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications

The emergence of spatial multi-omics has helped address the limitations of single-cell sequencing, which often leads to the loss of spatial context among cell populations. Integrated analysis of the genome, transcriptome, proteome, metabolome, and epigenome has enhanced our understanding of cell bio...

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Published inJournal of hematology and oncology Vol. 17; no. 1; pp. 72 - 24
Main Authors Liu, Xiaojie, Peng, Ting, Xu, Miaochun, Lin, Shitong, Hu, Bai, Chu, Tian, Liu, Binghan, Xu, Yashi, Ding, Wencheng, Li, Li, Cao, Canhui, Wu, Peng
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 24.08.2024
BioMed Central
BMC
Subjects
Accuracy
Animals
Bar codes
Biological analysis
Cancer research
Cancer therapies
Cells
Crosstalk
Developmental biology
Efficiency
Gene expression
Genomes
Genomic analysis
Genomics
Genomics - methods
Heterogeneity
Humans
Hybridization
Lineage tracking
Localization
Medical research
Metabolites
Metabolomics - methods
Methods
Molecular modelling
Multiomics
Neoplasms - genetics
New therapy
Proteomes
Proteomics - methods
Review
Spatial heterogeneity
Spatial multi-omics
Spatial-specific atlas
Technology
Transcriptomes
Heterogeneity
Spatial-specific atlas
Reproduction
Spatial multi-omics
Lineage tracking
New therapy
Crosstalk
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Summary:The emergence of spatial multi-omics has helped address the limitations of single-cell sequencing, which often leads to the loss of spatial context among cell populations. Integrated analysis of the genome, transcriptome, proteome, metabolome, and epigenome has enhanced our understanding of cell biology and the molecular basis of human diseases. Moreover, this approach offers profound insights into the interactions between intracellular and intercellular molecular mechanisms involved in the development, physiology, and pathogenesis of human diseases. In this comprehensive review, we examine current advancements in multi-omics technologies, focusing on their evolution and refinement over the past decade, including improvements in throughput and resolution, modality integration, and accuracy. We also discuss the pivotal contributions of spatial multi-omics in revealing spatial heterogeneity, constructing detailed spatial atlases, deciphering spatial crosstalk in tumor immunology, and advancing translational research and cancer therapy through precise spatial mapping.
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ISSN:1756-8722
1756-8722
DOI:10.1186/s13045-024-01596-9