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

Wang, Xuefei; Wu, Xinchao; Hong, Ni; Jin, Wenfei

2023-07-01

10.1007/s12551-023-01092-3

BIOPHYSICAL REVIEWS   Impact Factor & Quartile

1867-2450

1867-2469

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.

Single-cell sequencing Single-cell multimodal omics Multi-omics Data integration Multi-omics data integration

ESCI

English

First ; Corresponding

Biophysics

Biophysics

WOS:001059853700001

SPRINGERNATURE

Web of Science

Southern Univ Sci & Technol, Sch Life Sci, Shenzhen Key Lab Gene Regulat & Syst Biol, Shenzhen, Peoples R China

Wang, Xuefei,Wu, Xinchao,Hong, Ni,et al. Progress in single-cell multimodal sequencing and multi-omics data integration[J]. BIOPHYSICAL REVIEWS,2023.

Wang, Xuefei,Wu, Xinchao,Hong, Ni,&Jin, Wenfei.(2023).Progress in single-cell multimodal sequencing and multi-omics data integration.BIOPHYSICAL REVIEWS.

Wang, Xuefei,et al."Progress in single-cell multimodal sequencing and multi-omics data integration".BIOPHYSICAL REVIEWS (2023).