Single-cell sequencing techniques from individual to multiomics analyses.

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

引用：Kashima Y, Sakamoto Y, Kaneko K, Seki M, Suzuki Y, Suzuki A. (2020). Single-cell sequencing techniques from individual to multiomics analyses. Experimental & molecular medicine. PMID 32929221 · PMC8080663 · DOI 10.1038/s12276-020-00499-2

证据类型：REVIEW

主题：rna-seq、single-cell、epigenomics、multi-omics

被引次数（采集时）：212

原始记录：[Europe PMC](https://europepmc.org/article/MED/32929221)

来源许可：[CC-BY](https://creativecommons.org/licenses/by/)

作者摘要（按来源许可复用）

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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