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一个基于滴滴的工作流程,用于在同一细胞中快速和强大的转录组和染色质可访问性的联合分析

Ziying Yang^1,2, Siqi Liu^1,2, Changya Chen^1,2

¹State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China.

Blood science (Baltimore, Md.)

|November 12, 2025

概括

我们开发了一种基于液滴的高通量微流体协议,用于同时进行单细胞RNA测序 (scRNA-seq) 和单细胞ATAC测序 (scATAC-seq). 这种方法将基因表达和单个细胞中的染色质可访问性联系在一起,增强罕见细胞群体的识别.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
生物技术是生物技术.

背景情况:

单细胞多组学提升了对细胞异质性的理解.
对scRNA-seq和scATAC-seq的联合分析将基因表达与染色质可访问性联系起来.
这种整合改善了罕见细胞群和表观遗传机制的识别.

研究的目的:

为同时进行scRNA-seq和scATAC-seq.提供一个强大的,高通量滴滴式微流体协议.
为了在单细胞分辨率上实现基因表达和染色质可访问性之间的直接联系.
提供一种可扩展和可重复的方法来剖析复杂的生物系统.

主要方法:

开发了一种基于滴滴的微流体协议,用于同时进行RNA和染色质可访问性分析.
精简的工作流包括细胞预处理,细胞核隔离和GEM生成.
构建了scRNA-seq和scATAC-seq库,用于并行处理数万个细胞.

主要成果:

从单个细胞中实现RNA和染色质可访问性的同时分析.
协议展示了高吞吐量能力,可扩展性和可重复性.
启用了来自同一单元格的多个特征的整合分析.

结论:

多模式方法对于剖析复杂的生物系统是非常宝贵的.
该协议提高了识别罕见细胞种群的敏感性和特异性.
在单细胞分辨率下促进表观遗传调节机制的阐明.

关键词:

一个单细胞的多组组学.

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Chromatin Immunoprecipitation- ChIP

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