Shetty Anala V, Steer Clifford J, Low Walter C
bioRxiv. 2025 Jan 3:2025.01.02.631160. doi: 10.1101/2025.01.02.631160.
Replication timing (RT) allows us to analyze temporal patterns of genome-wide replication, i.e., if genes replicate early or late during the S-phase of the cell cycle. RT has been linked to gene expression in normal and diseased acute and chronic states such as cancer. However, studies done to date focused on bulk cell populations that required tens of thousands of cells for RT analysis. Here, we developed an affordable novel single cell (sc)-multiomics approach to simultaneously analyze RT and gene expression from cells or nuclei. We used this approach to generate sc-RT profiles and sc-gene expression data from the well-established human liver cancer cell line, HepG2. We demonstrated that as few as 17 mid S-phase cells were sufficient to produce cell-type specific pseudo bulk RT profiles that had a high correlation to previously published HepG2 bulk RT profiles. The sc-RT profiles allowed us to visualize how individual cells progressed through genome replication. We were also able to demonstrate high-resolution correlations between RT and gene expression within each individual cell, which to our knowledge, has not been reported. We observed trends that were conserved between individual cells, as well as cell-to-cell variations, which were not possible to detect with the bulk RT studies.
复制时间(RT)使我们能够分析全基因组复制的时间模式,即基因在细胞周期的S期是早期还是晚期复制。RT已与正常和患病的急性及慢性状态(如癌症)中的基因表达相关联。然而,迄今为止所做的研究集中在大量细胞群体上,进行RT分析需要数万个细胞。在此,我们开发了一种经济实惠的新型单细胞(sc)多组学方法,用于同时分析细胞或细胞核的RT和基因表达。我们使用这种方法从成熟的人肝癌细胞系HepG2生成了sc-RT图谱和sc-基因表达数据。我们证明,仅17个S期中期细胞就足以产生细胞类型特异性的伪批量RT图谱,这些图谱与先前发表的HepG2批量RT图谱具有高度相关性。sc-RT图谱使我们能够可视化单个细胞如何进行基因组复制。我们还能够证明每个单个细胞内RT和基因表达之间的高分辨率相关性,据我们所知,这尚未见报道。我们观察到了单个细胞之间保守的趋势以及细胞间的差异,这是批量RT研究无法检测到的。