Spatially resolved genome-wide joint profiling of epigenome and transcriptome with spatial-ATAC-RNA-seq and spatial-CUT&Tag-RNA-seq

IF 16 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Protocols Pub Date : 2025-03-21 DOI:10.1038/s41596-025-01145-9
Haikuo Li, Shuozhen Bao, Negin Farzad, Xiaoyu Qin, Anthony A. Fung, Di Zhang, Zhiliang Bai, Bo Tao, Rong Fan
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Abstract

The epigenome of a cell is tightly correlated with gene transcription, which controls cell identity and diverse biological activities. Recent advances in spatial technologies have improved our understanding of tissue heterogeneity by analyzing transcriptomics or epigenomics with spatial information preserved, but have been mainly restricted to one molecular layer at a time. Here we present procedures for two spatially resolved sequencing methods, spatial-ATAC-RNA-seq and spatial-CUT&Tag-RNA-seq, that co-profile transcriptome and epigenome genome wide. In both methods, transcriptomic readouts are generated through tissue fixation, permeabilization and in situ reverse transcription. In spatial-ATAC-RNA-seq, Tn5 transposase is used to probe accessible chromatin, and in spatial-CUT&Tag-RNA-seq, the tissue is incubated with primary antibodies that target histone modifications, followed by Protein A-fused Tn5-induced tagmentation. Both methods leverage a microfluidic device that delivers two sets of oligonucleotide barcodes to generate a two-dimensional mosaic of tissue pixels at near single-cell resolution. A spatial-ATAC-RNA-seq or spatial-CUT&Tag-RNA-seq library can be generated in 3–5 d, allowing researchers to simultaneously investigate the transcriptomic landscape and epigenomic landscape of an intact tissue section. This protocol is an extension of our previous spatially resolved epigenome sequencing protocol and provides opportunities in multimodal profiling. In this Protocol Extension, the authors describe procedures for spatial barcoding in tissue sections using a microfluidic chip followed by sequencing-based joint genome-wide profiling of transcriptome and open chromatin or histone modifications.

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利用空间- atac - rna -seq和空间- cut - tag - rna -seq进行空间分辨的全基因组表观基因组和转录组联合分析。
细胞的表观基因组与基因转录密切相关,基因转录控制着细胞特性和各种生物活动。空间技术的最新进展通过分析保留了空间信息的转录组学或表观基因组学,提高了我们对组织异质性的认识,但这些技术主要局限于一次分析一个分子层。在这里,我们介绍了两种空间分辨测序方法--空间-ATAC-RNA-seq 和空间-CUT&Tag-RNA-seq--的程序,这两种方法可以共同描绘转录组和表观基因组的全基因组。在这两种方法中,转录组读数都是通过组织固定、渗透和原位反转录产生的。在空间-ATAC-RNA-seq中,Tn5转座酶被用来探测可访问的染色质;在空间-CUT&Tag-RNA-seq中,组织与针对组蛋白修饰的一抗一起孵育,然后用蛋白A融合Tn5诱导标记。这两种方法都利用了微流体设备,该设备可提供两组寡核苷酸条形码,以接近单细胞的分辨率生成二维镶嵌的组织像素。空间-ATAC-RNA-seq或空间-CUT&Tag-RNA-seq文库可在3-5天内生成,使研究人员能够同时研究完整组织切片的转录组景观和表观组景观。该方案是我们之前的空间分辨表观基因组测序方案的延伸,为多模态分析提供了机会。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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