Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis

The correlation between CpG methylation and gene expression is driven by sequence variants

Gene promoter and enhancer sequences are bound by transcription factors and are depleted of methylated CpG sites (cytosines preceding guanines in DNA). The absence of methylated CpGs in these sequences typically correlates with increased gene expression, indicating a regulatory role for methylation. We used nanopore sequencing to determine haplotype-specific methylation rates of 15.3 million CpG units in 7,179 whole-blood genomes. We identified 189,178 methylation depleted sequences where three or more proximal CpGs were unmethylated on at least one haplotype. A total of 77,789 methylation depleted sequences (~41%) associated with 80,503 cis-acting sequence variants, which we termed allele-specific methylation quantitative trait loci (ASM-QTLs). RNA sequencing of 896 samples from the same blood draws used to perform nanopore sequencing showed that the ASM-QTL, that is, DNA sequence variability, drives most of the correlation found between gene expression and CpG methylation. ASM-QTLs were enriched 40.2-fold (95% confidence interval 32.2, 49.9) among sequence variants associating with hematological traits, demonstrating that ASM-QTLs are important functional units in the noncoding genome.

Advances in single-cell omics and multiomics for high-resolution molecular profiling

Single-cell omics technologies have revolutionized molecular profiling by providing high-resolution insights into cellular heterogeneity and complexity. Traditional bulk omics approaches average signals from heterogeneous cell populations, thereby obscuring important cellular nuances. Single-cell omics studies enable the analysis of individual cells and reveal diverse cell types, dynamic cellular states, and rare cell populations. These techniques offer unprecedented resolution and sensitivity, enabling researchers to unravel the molecular landscape of individual cells. Furthermore, the integration of multimodal omics data within a single cell provides a comprehensive and holistic view of cellular processes. By combining multiple omics dimensions, multimodal omics approaches can facilitate the elucidation of complex cellular interactions, regulatory networks, and molecular mechanisms. This integrative approach enhances our understanding of cellular systems, from development to disease. This review provides an overview of the recent advances in single-cell and multimodal omics for high-resolution molecular profiling. We discuss the principles and methodologies for representatives of each omics method, highlighting the strengths and limitations of the different techniques. In addition, we present case studies demonstrating the applications of single-cell and multimodal omics in various fields, including developmental biology, neurobiology, cancer research, immunology, and precision medicine.

Tracking early mammalian organogenesis - prediction and validation of differentiation trajectories at whole organism scale

Early organogenesis represents a key step in animal development, during which pluripotent cells diversify to initiate organ formation. Here, we sampled 300,000 single-cell transcriptomes from mouse embryos between E8.5 and E9.5 in 6-h intervals and combined this new dataset with our previous atlas (E6.5-E8.5) to produce a densely sampled timecourse of >400,000 cells from early gastrulation to organogenesis. Computational lineage reconstruction identified complex waves of blood and endothelial development, including a new programme for somite-derived endothelium. We also dissected the E7.5 primitive streak into four adjacent regions, performed scRNA-seq and predicted cell fates computationally. Finally, we defined developmental state/fate relationships by combining orthotopic grafting, microscopic analysis and scRNA-seq to transcriptionally determine cell fates of grafted primitive streak regions after 24 h of in vitro embryo culture. Experimentally determined fate outcomes were in good agreement with computationally predicted fates, demonstrating how classical grafting experiments can be revisited to establish high-resolution cell state/fate relationships. Such interdisciplinary approaches will benefit future studies in developmental biology and guide the in vitro production of cells for organ regeneration and repair.

DNA methylation restricts coordinated germline and neural fates in embryonic stem cell differentiation

As embryonic stem cells (ESCs) transition from naive to primed pluripotency during early mammalian development, they acquire high DNA methylation levels. During this transition, the germline is specified and undergoes genome-wide DNA demethylation, while emergence of the three somatic germ layers is preceded by acquisition of somatic DNA methylation levels in the primed epiblast. DNA methylation is essential for embryogenesis, but the point at which it becomes critical during differentiation and whether all lineages equally depend on it is unclear. Here, using culture modeling of cellular transitions, we found that DNA methylation-free mouse ESCs with triple DNA methyltransferase knockout (TKO) progressed through the continuum of pluripotency states but demonstrated skewed differentiation abilities toward neural versus other somatic lineages. More saliently, TKO ESCs were fully competent for establishing primordial germ cell-like cells, even showing temporally extended and self-sustained capacity for the germline fate. By mapping chromatin states, we found that neural and germline lineages are linked by a similar enhancer dynamic upon exit from the naive state, defined by common sets of transcription factors, including methyl-sensitive ones, that fail to be decommissioned in the absence of DNA methylation. We propose that DNA methylation controls the temporality of a coordinated neural-germline axis of the preferred differentiation route during early development.

Development of Locus-Directed Editing of the Epigenome from Basic Mechanistic Engineering to First Clinical Applications

The introduction of CRISPR/Cas systems has resulted in a strong impulse for the field of gene-targeted epigenome/epigenetic reprogramming (EpiEditing), where EpiEditors consisting of a DNA binding part for targeting and an enzymatic part for rewriting of chromatin modifications are applied in cells to alter chromatin modifications at targeted genome loci in a directed manner. Pioneering studies preceding this era indicated causal relationships of chromatin marks instructing gene expression. The accumulating evidence of chromatin reprogramming of a given genomic locus resulting in gene expression changes opened the field for mainstream applications of this technology in basic and clinical research. The growing knowledge on chromatin biology and application of EpiEditing tools, however, also revealed a lack of predictability of the efficiency of EpiEditing in some cases. In this perspective, the dependence of critical parameters such as specificity, effectivity, and sustainability of EpiEditing on experimental settings and conditions including the expression levels and expression times of the EpiEditors, their chromatin binding affinity and specificity, and the crosstalk between EpiEditors and cellular epigenome modifiers are discussed. These considerations highlight the intimate connection between the outcome of epigenome reprogramming and the details of the technical approaches toward EpiEditing, which are the main topic of this volume of Methods in Molecular Biology. Once established in a fully functional "plug-and-play" mode, EpiEditing will allow to better understand gene expression control and to translate such knowledge into therapeutic tools. These expectations are beginning to be met as shown by various in vivo EpiEditing applications published in recent years, several companies aiming to exploit the therapeutic power of EpiEditing and the first clinical trial initiated.

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mouse Corneal Epithelial Cells

Purpose

Corneal epithelial homeostasis is maintained by coordinated gene expression across distinct cell populations, but the gene regulatory programs underlying this cellular diversity remain to be characterized. Here we applied single-cell multi-omics analysis to delineate the gene regulatory profile of mouse corneal epithelial cells under normal homeostasis.

Methods

Single cells isolated from the cornea epithelium (with marginal conjunctiva) of adult mice were subjected to scRNA-seq and scATAC-seq using the 10×Genomics platform. Cell types were clustered by the graph-based visualization method uniform manifold approximation and projection and unbiased computational informatics analysis. The scRNA-seq and scATAC-seq datasets were integrated following the integration pipeline described in ArchR and Seurat.

Results

We characterized diverse corneal epithelial cell types based on gene expression signatures and chromatin accessibility. We found that cell type-specific accessibility regions were mainly located at distal regions, suggesting essential roles of distal regulatory elements in determining corneal epithelial cell diversity. Trajectory analyses revealed a continuum of cell state transition and higher coordination between transcription factor (TF) motif accessibility and gene expression during corneal epithelial cell differentiation. By integrating transcriptomic and chromatin accessibility analysis, we identified cell type-specific and shared gene regulation programs. We also uncovered critical TFs driving corneal epithelial cell differentiation, such as nuclear factor I (NFI) family members, Rarg, Elf3. We found that nuclear factor-κB (NF-κB) family members were positive TFs in limbal cells and some superficial cells, but they were involved in regulating distinct biological processes.

Conclusions

Our study presents a comprehensive gene regulatory landscape of mouse cornea epithelial cells, and provides valuable foundations for future investigation of corneal epithelial homeostasis in the context of cornea pathologies and regenerative medicine.

Mammalian DNA methylome dynamics: mechanisms, functions and new frontiers

DNA methylation is a highly conserved epigenetic modification that plays essential roles in mammalian gene regulation, genome stability and development. Despite being primarily considered a stable and heritable epigenetic silencing mechanism at heterochromatic and repetitive regions, whole genome methylome analysis reveals that DNA methylation can be highly cell-type specific and dynamic within proximal and distal gene regulatory elements during early embryonic development, stem cell differentiation and reprogramming, and tissue maturation. In this Review, we focus on the mechanisms and functions of regulated DNA methylation and demethylation, highlighting how these dynamics, together with crosstalk between DNA methylation and histone modifications at distinct regulatory regions, contribute to mammalian development and tissue maturation. We also discuss how recent technological advances in single-cell and long-read methylome sequencing, along with targeted epigenome-editing, are enabling unprecedented high-resolution and mechanistic dissection of DNA methylome dynamics.