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用于空间表观基因组、转录组和细胞谱系的统一分子方法。

Unified molecular approach for spatial epigenome, transcriptome, and cell lineages.

作者信息

Huang Yung-Hsin, Belk Julia A, Zhang Ruochi, Weiser Natasha E, Chiang Zachary, Jones Matthew G, Mischel Paul S, Buenrostro Jason D, Chang Howard Y

机构信息

Department of Dermatology, Center for Personal Dynamic Regulomes and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305.

Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142.

出版信息

Proc Natl Acad Sci U S A. 2025 Apr 22;122(16):e2424070122. doi: 10.1073/pnas.2424070122. Epub 2025 Apr 18.

Abstract

Spatial epigenomics and multiomics can provide fine-grained insights into cellular states but their widespread adoption is limited by the requirement for bespoke slides and capture chemistries for each data modality. Here, we present SPatial assay for Accessible chromatin, Cell lineages, and gene Expression with sequencing (SPACE-seq), a method that utilizes polyadenine-tailed epigenomic libraries to enable facile spatial multiomics using standard whole transcriptome reagents. Applying SPACE-seq to a human glioblastoma specimen, we reveal the state of the tumor microenvironment, extrachromosomal DNA copy numbers, and identify putative mitochondrial DNA variants.

摘要

空间表观基因组学和多组学可以提供对细胞状态的细粒度见解,但它们的广泛应用受到每种数据模式都需要定制载玻片和捕获化学方法的限制。在这里,我们展示了用于可及染色质、细胞谱系和基因表达测序的空间分析方法(SPACE-seq),该方法利用聚腺苷酸尾表观基因组文库,使用标准的全转录组试剂实现便捷的空间多组学分析。将SPACE-seq应用于人类胶质母细胞瘤标本,我们揭示了肿瘤微环境的状态、染色体外DNA拷贝数,并鉴定了推定的线粒体DNA变体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a51/12037033/1532b7323cb0/pnas.2424070122fig01.jpg

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