Seeing the Symphony: New Tech Maps Epigenome and Transcriptome Together in Tissue

For years, spatial biologists have faced a frustrating choice: map which genes are active in a tissue or map the epigenetic switches that control them. It's like listening to an orchestra but only being able to hear the violins or the brass, missing how they work together to create the symphony. A new approach from Zhang, Deng, Kukanja, and colleagues, published in Nature, finally lets us hear the full performance.

Key Findings

• Dual-View Mapping: The team developed two technologies that co-profile the epigenome (chromatin accessibility or histone modifications) and the transcriptome (gene expression) on the same tissue slice at near-single-cell resolution.
• Revealing New Biology: Applied to mouse and human brain tissues, the methods confirmed known relationships and also surfaced distinct patterns, showing that epigenetic and transcriptional states can play different roles in defining a cell's identity within its tissue neighborhood.
• Uncovering Spatial Regulation: By linking epigenome to transcriptome pixel-by-pixel, the study points to spatial epigenetic priming — how the epigenetic landscape can prepare genes for expression in specific tissue regions.

Why It Matters

Previously, integrating separate spatial datasets meant stitching together indirect inferences, and the result was often noisy. With direct, paired measurements from the same cellular context, researchers can build more accurate models of gene regulation and ask mechanistic questions: How does opening a specific region of chromatin lead to a burst of gene expression in this precise cluster of cells? That matters for development, disease, and everyday tissue function.

Technical Approach

The core innovation is cosequencing. The methods simultaneously capture signals for either:

1. Chromatin accessibility + mRNA, or
2. Histone modifications (like H3K27ac) + mRNA

from within the spatial coordinates of a single tissue section. This produces two aligned maps from the same biological sample, giving a direct view of regulatory inputs and their transcriptional outputs in situ.

Read More

• Original Paper: Di Zhang, Yanxiang Deng, P. Kukanja et al. Spatial epigenome–transcriptome co-profiling of mammalian tissues. Nature (2023).