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KMID : 0620920200520090018
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Experimental & Molecular Medicine
2020 Volume.52 No. 9 p.18 ~ p.18
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Single-cell sequencing techniques from individual to multiomics analyses
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Kashima Yukie
Sakamoto Yoshitaka
Kaneko Keiya
Seki Masahide
Suzuki Yutaka
Suzuki Ayako
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Abstract
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Here, we review single-cell sequencing techniques for individual and multiomics profiling in single cells. We mainly describe single-cell genomic, epigenomic, and transcriptomic methods, and examples of their applications. For the integration of multilayered data sets, such as the transcriptome data derived from single-cell RNA sequencing and chromatin accessibility data derived from single-cell ATAC-seq, there are several computational integration methods. We also describe single-cell experimental methods for the simultaneous measurement of two or more omics layers. We can achieve a detailed understanding of the basic molecular profiles and those associated with disease in each cell by utilizing a large number of single-cell sequencing techniques and the accumulated data sets.
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KEYWORD
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Next-generation sequencing, RNA sequencing
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