Progress in single-cell multimodal sequencing and multi-omics data integration

被引:0
作者
Xuefei Wang
Xinchao Wu
Ni Hong
Wenfei Jin
机构
[1] Southern University of Science and Technology,Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences
来源
Biophysical Reviews | 2024年 / 16卷
关键词
Single-cell sequencing; Single-cell multimodal omics; Multi-omics; Data integration; Multi-omics data integration;
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学科分类号
摘要
With the rapid advance of single-cell sequencing technology, cell heterogeneity in various biological processes was dissected at different omics levels. However, single-cell mono-omics results in fragmentation of information and could not provide complete cell states. In the past several years, a variety of single-cell multimodal omics technologies have been developed to jointly profile multiple molecular modalities, including genome, transcriptome, epigenome, and proteome, from the same single cell. With the availability of single-cell multimodal omics data, we can simultaneously investigate the effects of genomic mutation or epigenetic modification on transcription and translation, and reveal the potential mechanisms underlying disease pathogenesis. Driven by the massive single-cell omics data, the integration method of single-cell multi-omics data has rapidly developed. Integration of the massive multi-omics single-cell data in public databases in the future will make it possible to construct a cell atlas of multi-omics, enabling us to comprehensively understand cell state and gene regulation at single-cell resolution. In this review, we summarized the experimental methods for single-cell multimodal omics data and computational methods for multi-omics data integration. We also discussed the future development of this field.
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页码:13 / 28
页数:15
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