Four Omics Sequencing Modalities for Analyzing Gene Regulatory Networks
Background
Understanding how genes are regulated in cells requires examining not only gene expression but also multiple layers of epigenomic information. This study developed CHARM, which measures the genome’s three-dimensional structure, histone modifications, chromatin accessibility, and gene expression in parallel in the same individual cell. The approach aims to deepen understanding of gene regulation within cells.
Key findings
The researchers applied CHARM to mouse embryonic stem cells and cortical tissue to reconstruct integrated epigenomic profiles. The analysis revealed distinct patterns of change in chromatin accessibility and histone modifications across the cell cycle. Clustering of gene regulatory elements in the three-dimensional space of the nucleus was also observed.
Analysis using an explainable machine-learning model identified thousands of enhancer–promoter links involved in regulating gene expression. The abstract reports that these links are associated with gene-expression regulation specific to cell types and subtypes. However, the provided abstract does not specify accuracy metrics or whether individual links were experimentally validated.
Implications and outlook
This study helps analyze patterns of gene regulation across cell types and tissues. By examining three-dimensional genome structure alongside epigenomic and expression information from the same cell, it provides clues for understanding gene expression within cells.
The reported findings are limited to the study’s application in mouse embryonic stem cells and cortical tissue. The study did not test the efficacy of a new treatment or drug, and potential clinical applications remain to be tested separately. The materials assessed for this article were bibliographic information and the abstract; sample size, quantitative performance, and the detailed conditions of comparative experiments could not be evaluated.
Source: Bibliographic information and abstract indexed in Europe PMC.
Nature, Published online: 01 April 2026; doi:10.1038/s41586-026-10322-z Combining single-cell parallel profiling of genome conformation, histone modifications, chromatin accessibility, and gene expression reveals dynamics and intranuclear spatial clustering of epigenome profiles, enabling sophisticated analysis of the regulatory landscape across cell types and tissues.
This study helps researchers understand complex gene-regulatory processes within cells. Measuring four types of information together in the same cell makes it possible to analyze connections among gene expression, three-dimensional genome structure, and epigenomic state. For example, candidate enhancer–promoter links could be narrowed down by cell type in cortical tissue to prioritize follow-up functional experiments. This is a potential research use based on the link analysis reported in the abstract. The causal roles of individual links and their value as therapeutic targets require further experimental investigation.