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

• Published in: Journal 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
• Language: English
• 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

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...