scRepli-RamDA-seq: a multi-omics technology enabling the analysis of gene expression dynamics during S-phase
Abstract
Abstract Single-cell sequencing has advanced our understanding of cell-type diversity and heterogeneity. However, existing single-cell multi-omics methods lack the ability to monitor gene expression dynamics during S-phase progression. Here, we introduce single-cell (sc)Repli-RamDA-seq (scRR-seq), a multi-omics method that enables high-resolution DNA replication profiling and full-length total RNA sequencing from the same single cell in a haplotype-specific manner. scRR-seq generates DNA replication and RNA sequencing data comparable to individually obtained scRepli-seq and scRamDA-seq data, respectively. Unlike other scDNA/RNA-seq methods, scRR-seq allows one to tell the S-phase stage of a given cell based on the percentage of the replicated genome derived from scRepli-seq data. This facilitates analysis of gene expression dynamics during S-phase progression, enabling the identification of S-phase progression markers. scRR-seq also detects copy-number variation in non-S-phase cells and outperforms other scDNA/RNA-seq methods in various measures. Taken together, scRR-seq is a robust single-cell multi-omics method with promising potential for comprehensive genome/transcriptome analysis.
Article Details
Authors (14)
Rawin Poonperm
Taiki Yoneda
Taito Imada
Saori Takahashi
Takako Ichinose
Hisashi Miura
Tetsutaro Hayashi
Mariko Kuse
Mika Yoshimura
Koji Nagao
Chikashi Obuse
Itoshi Nikaido
Ichiro Hiratani
Shin-ichiro Takebayashi