Our lab is interested in epigenetic gene regulation in mammalian development and in ageing. Global epigenetic reprogramming occurs at fertilisation and fundamentally remodels the epigenomes of sperm and egg. We are working to understand the mechanisms of reprogramming and also how it may be linked with zygotic genome activation, the sudden transcriptional springing to life of the genome in the early embryo.
Soon after implantation of the embryo in the maternal uterus there is a major programme of cell fate decisions which establishes the three primary germ layers, the ectoderm (which gives rise to brain and skin), the mesoderm (giving rise to muscle and heart), and the endoderm (which gives rise to the gut amongst other tissues).
These three lineages are the foundations of all organs in the adult body and we are interested in the transcriptional and epigenetic events that underlie their emergence from the undifferentiated epiblast. Finally, we are studying how the epigenome degrades during ageing potentially in a programmed fashion, and whether there are approaches by which this degradation can be slowed down or reversed.
Biological processes are inherently dynamic, yet current methods for capturing temporal changes remain limited. Here, we present scDynaBar, a novel approach that combines CRISPR-Cas9 dynamic barcoding with single-cell sequencing. In this system, genetic barcodes gradually accumulate mutations over time; these barcodes are sequenced alongside the transcriptome of individual cells. We propose that the divergence of these barcodes from the original sequence can serve as a record of the timing of cellular events. To demonstrate the potential of this method, we track the transition from a pluripotent state to a two-cell (2C)-like state in mouse embryonic stem cells (mESCs), providing evidence for the transient nature of the 2C-like state. Additionally, our system shows consistent mutation rates across diverse cell types in a mouse gastruloid model, highlighting its applicability to other biological systems. This approach not only improves our ability to study single-cell dynamics but also opens up new possibilities for recording other temporal signals-in other words, using dynamic barcoding as a molecular clock in individual cells.
Profiling combinations of histone modifications identifies gene regulatory elements in different states and discovers features controlling transcriptional and epigenetic programs. However, efforts to map chromatin states in complex, heterogeneous samples are hindered by the lack of methods that can profile multiple histone modifications together with transcriptomes in individual cells. Here, we describe single-cell multitargets and mRNA sequencing (scMTR-seq), a high-throughput method that enables simultaneous profiling of six histone modifications and transcriptome in single cells. We apply scMTR-seq to uncover dynamic and coordinated changes in chromatin states and transcriptomes during human endoderm differentiation. We also use scMTR-seq to produce lineage-resolved chromatin maps and gene regulatory networks in mouse blastocysts, revealing epigenetic asymmetries at gene regulatory regions between the three embryo lineages and identifying Trps1 as a potential repressor in epiblast cells of trophectoderm-associated enhancer networks and their target genes. Together, scMTR-seq enables investigation of combinatorial chromatin landscapes in a broad range of heterogeneous samples, providing insights into epigenetic regulatory systems.
During gastrulation, mouse epiblast cells form the three germ layers that establish the body plan and initiate organogenesis. While single-cell atlases have advanced our understanding of lineage diversification, spatial aspects of differentiation remain poorly defined. Here, we applied spatial transcriptomics to mouse embryos at embryonic (E) E7.25 and E7.5 days and integrated these data with existing E8.5 spatial and E6.5-E9.5 single-cell RNA-seq atlases. This resulted in a spatiotemporal atlas of over 150,000 cells with 82 refined cell-type annotations. The resource enables exploration of gene expression dynamics across anterior-posterior and dorsal-ventral axes, uncovering spatial logic guiding mesodermal fate decisions in the primitive streak. We also developed a computational pipeline to project additional single-cell datasets into this framework for comparative analysis. Freely accessible through an interactive web portal, this atlas offers a valuable tool for the developmental and stem cell biology communities to investigate mouse embryogenesis in a spatial and temporal context.