使用组合流体索引进行大规模单细胞染色质可及性测序
Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing.
作者信息
Zhang Xuan, Marand Alexandre P, Yan Haidong, Schmitz Robert J
机构信息
Department of Genetics, University of Georgia, Athens, GA, USA.
Current address: Department of Molecular, Cellular, and Development Biology, University of Michigan, Ann Arbor, MI, USA.
出版信息
bioRxiv. 2024 Feb 18:2023.09.17.558155. doi: 10.1101/2023.09.17.558155.
Single-cell ATAC-seq has emerged as a powerful approach for revealing candidate -regulatory elements genome-wide at cell-type resolution. However, current single-cell methods suffer from limited throughput and high costs. Here, we present a novel technique called single-cell combinatorial fluidic indexing ATAC-sequencing ("scifi-ATAC-seq"), which combines a barcoded Tn5 pre-indexing step with droplet-based single-cell ATAC-seq using a widely commercialized microfluidics platform (10X Genomics). With scifi-ATAC-seq, up to 200,000 nuclei across multiple samples in a single emulsion reaction can be indexed, representing a ~20-fold increase in throughput compared to the standard 10X Genomics workflow.
单细胞ATAC测序已成为一种强大的方法,可在全基因组范围内以细胞类型分辨率揭示候选调控元件。然而,目前的单细胞方法存在通量有限和成本高昂的问题。在此,我们提出了一种名为单细胞组合流体索引ATAC测序(“scifi-ATAC-seq”)的新技术,该技术将带条形码的Tn5预索引步骤与使用广泛商业化的微流控平台(10X基因组学)的基于液滴的单细胞ATAC测序相结合。通过scifi-ATAC-seq,在单个乳液反应中跨越多个样本的多达200,000个细胞核可以被索引,与标准的10X基因组学工作流程相比,通量提高了约20倍。