Spatial epigenome–transcriptome co-profiling of mammalian tissues

Di Zhang(Yale University), Yanxiang Deng(Yale Cancer Center), Petra Kukanja(Karolinska Institutet), Eneritz Agirre(Karolinska Institutet), Marek Bartošovič(Karolinska Institutet), Mingze Dong(Yale University), Cong Ma(Princeton University), Sai Ma(Broad Institute), Graham Su(Yale Cancer Center), Shuozhen Bao(Yale University), Yang Liu(Yale Cancer Center), Yang Xiao(Columbia University), Gorazd Rosoklija(Macedonian Academy of Sciences and Arts), Andrew J. Dwork(Macedonian Academy of Sciences and Arts), J. John Mann(New York Psychoanalytic Society and Institute), Kam W. Leong(Columbia University Irving Medical Center), Maura Boldrini(New York Psychoanalytic Society and Institute), Liya Wang, Maximilian Haeussler(University of California, Santa Cruz), Benjamin J. Raphael(Princeton University), Yuval Kluger(Yale University), Gonçalo Castelo‐Branco(Karolinska Institutet), Rong Fan(Yale Cancer Center)
Nature
March 15, 2023
Cited by 409Open Access
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Abstract

. However, current methods capture only one layer of omics information at a time, precluding the possibility of examining the mechanistic relationship across the central dogma of molecular biology. Here, we present two technologies for spatially resolved, genome-wide, joint profiling of the epigenome and transcriptome by cosequencing chromatin accessibility and gene expression, or histone modifications (H3K27me3, H3K27ac or H3K4me3) and gene expression on the same tissue section at near-single-cell resolution. These were applied to embryonic and juvenile mouse brain, as well as adult human brain, to map how epigenetic mechanisms control transcriptional phenotype and cell dynamics in tissue. Although highly concordant tissue features were identified by either spatial epigenome or spatial transcriptome we also observed distinct patterns, suggesting their differential roles in defining cell states. Linking epigenome to transcriptome pixel by pixel allows the uncovering of new insights in spatial epigenetic priming, differentiation and gene regulation within the tissue architecture. These technologies are of great interest in life science and biomedical research.


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