Single-cell sequencing techniques from individual to multiomics analyses

• Published in: Experimental & molecular medicine Vol. 52; no. 9; pp. 1419 - 1427
• Main Authors: Kashima, Yukie, Sakamoto, Yoshitaka, Kaneko, Keiya, Seki, Masahide, Suzuki, Yutaka, Suzuki, Ayako
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.09.2020; Springer Nature B.V; Nature Publishing Group
• Subjects: 38/23; 38/39; 45/91; 631/61/514/1949; 631/61/514/2254; Biomedical and Life Sciences; Biomedicine; Brain cancer; Brain tumors; Chromatin; Computational neuroscience; DNA sequencing; Gene expression; Integration; Medical Biochemistry; Molecular Medicine; Research methodology; Review; Review Article; Ribonucleic acid; RNA; Stem Cells; Transcriptomes; Transcriptomics

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...