Biology subjects

Lohoff, T.

Publications and source records attributed to Lohoff, T..

9 recordsLinked to original sources

bioRxiv2025

A new resource of clonal pluripotent human stem cell lines exhibiting inter- and intra-embryo consistency and variability

Human naive pluripotent stem cells can generate all somatic tissues and extra-embryonic components of the blastocyst. We derived multiple clonal naive pluripotent stem cell lines from individual embryos by physical separation of inner cell mass cells and subsequent individual expansion of each resulting dome-shaped colony, providing the foundation for a resource to investigate intra- and inter-embryo variation. Twenty lines were derived from ten embryos donated from nine couples. While differences between lines are observed, the overarching pluripotency circuitry is preserved in each. They can differentiate into extra-embryonic lineages and readily acquire post-implantation pluripotent identity when exposed to culture conditions driving in vitro capacitation, subsequently to generate derivatives of the three germ layers: ectoderm, mesoderm and endoderm. Some lines exhibit intra-chromosomal amplification and deletions and are therefore anticipated to provide a valuable, accessible system for modelling chromosomal mosaicism and its potential consequences using chimeric organoids, such as blastoids and gastruloids.

developmental biology↗

bioRxiv2024

A Spatiotemporal Atlas of Mouse Gastrulation and Early Organogenesis to Explore Axial Patterning and Project In Vitro Models onto In Vivo Space

At the onset of murine gastrulation, pluripotent epiblast cells migrate through the primitive streak, generating mesodermal and endodermal precursors, while the ectoderm arises from the remaining epiblast. Together, these germ layers establish the body plan, defining major body axes and initiating organogenesis. Although comprehensive single cell transcriptional atlases of dissociated mouse embryos across embryonic stages have provided valuable insights during gastrulation, the spatial context for cell differentiation and tissue patterning remain underexplored. In this study, we employed spatial transcriptomics to measure gene expression in mouse embryos at E6.5 and E7.5 and integrated these datasets with previously published E8.5 spatial transcriptomics1 and a scRNA-seq2 atlas spanning E6.5 to E9.5. This approach resulted in a comprehensive spatiotemporal atlas, comprising over 150,000 cells with 88 refined cell type annotations as well as genome-wide transcriptional imputation during mouse gastrulation and early organogenesis. The atlas facilitates exploration of gene expression dynamics along anterior-posterior and dorsal-ventral axes at cell type, tissue, and organismal scales, revealing insights into mesodermal fate decisions within the primitive streak. Moreover, we developed a bioinformatics pipeline to project additional scRNA-seq datasets into a spatiotemporal framework and demonstrate its utility by analysing cardiovascular models of gastrulation3. To maximise impact, the atlas is publicly accessible via a user-friendly web portal empowering the wider developmental and stem cell biology communities to explore mechanisms of early mouse development in a spatiotemporal context.

developmental biology↗

bioRxiv2024

Epigenetic priming of embryonic enhancer elements coordinates developmental gene networks

Embryonic development requires the accurate spatiotemporal execution of cell lineage-specific gene expression programs, which are controlled by transcriptional enhancers. Developmental enhancers adopt a primed chromatin state prior to their activation; however how this primed enhancer state is established, maintained, and how it affects the regulation of developmental gene networks remains poorly understood. Here, we use comparative multi-omic analyses of human and mouse early embryonic development to identify subsets of post-gastrulation lineage-specific enhancers which are epigenetically primed ahead of their activation, marked by the histone modification H3K4me1 within the epiblast. We show that epigenetic priming occurs at lineage-specific enhancers for all three germ layers, and that epigenetic priming of enhancers confers lineage-specific regulation of key developmental gene networks. Surprisingly in some cases, lineage-specific enhancers are epigenetically marked already in the zygote, weeks before their activation during lineage specification. Moreover, we outline a generalisable strategy to use naturally occurring human genetic variation to delineate important sequence determinants of primed enhancer function. Our findings identify an evolutionarily conserved program of enhancer priming and begin to dissect the temporal dynamics and mechanisms of its establishment and maintenance during early mammalian development.

developmental biology↗

bioRxiv2024

Eomes directs the formation of spatially and functionally diverse extra-embryonic hematovascular tissues

During mouse gastrulation, extraembryonic mesoderm (ExEM) contributes to the extraembryonic yolk sac (YS) and allantois, both of which are essential for successful gestation. Although the genetic networks coordinating intra-embryonic mesodermal subtype specification are well-studied, the mechanisms driving ExEM diversification are poorly understood. Here, we reveal that embryoid body in vitro differentiation generates two distinct lineages of mesodermal cells matching YS and allantois respectively. Combining in vitro models with in vivo chimeric embryo analysis, we discover that Eomesodermin (Eomes) regulates the formation of a subset of YS-fated ExEM but is dispensable for allantois formation. Furthermore, simultaneous disruption of Eomes and T impedes the specification of any YS or allantois mesoderm, indicating compensatory roles for T during allantois formation when Eomes is disrupted. Our study highlights previously unrecognized functional and mechanistic diversity in ExEM diversification and endothelial development and introduces a tractable EB model to dissect the signaling pathways and transcriptional networks driving the formation of key extraembryonic tissues.

developmental biology↗

bioRxiv2023

Dynamic DNA methylation turnover at the exit of pluripotency epigenetically primes gene regulatory elements for hematopoietic lineage specification

Epigenetic mechanisms govern developmental cell fate decisions, but how DNA methylation coordinates with chromatin structure and three-dimensional DNA folding to enact cell-type specific gene expression programmes remains poorly understood. Here, we use mouse embryonic stem and epiblast-like cells deficient for 5-methyl cytosine or its oxidative derivatives (5-hydroxy-, 5-formyl- and 5-carboxy-cytosine) to dissect the gene regulatory mechanisms that control cell lineage specification at the exit of pluripotency. Genetic ablation of either DNA methyltransferase (Dnmt) or Ten-eleven-translocation (Tet) activity yielded largely distinct sets of dysregulated genes, revealing divergent transcriptional defects upon perturbation of individual branches of the DNA cytosine methylation cycle. Unexpectedly, we found that disrupting DNA methylation or oxidation interferes with key enhancer features, including chromatin accessibility, enhancer-characteristic histone modifications, and long-range chromatin interactions with putative target genes. In addition to affecting transcription of select genes in pluripotent stem cells, we observe impaired enhancer priming, including a loss of three-dimensional interactions, at regulatory elements associated with key lineage-specifying genes that are required later in development, as we demonstrate for the key hematopoietic genes Klf1 and Lyl1. Consistently, we observe impaired transcriptional activation of blood genes during embryoid body differentiation of knockout cells. Our findings identify a novel role for the dynamic turnover of DNA methylation at the exit of pluripotency to establish and maintain chromatin states that epigenetically prime enhancers for later activation during developmental cell diversification. HighlightsO_LIWe perform a detailed epigenetic characterisation of the mouse embryonic stem cell (ESC) to epiblast-like cell (EpiLC) transition in wild type, Tet triple-knockout (TKO) and Dnmt TKO lines and develop a novel clustering approach to interrogate the data. C_LIO_LITet TKO reduces H3K4me1 and H3K27ac levels across enhancer elements upon pluripotency exit whilst Dnmt TKO affects only H3K4me1 levels, suggesting a novel role for oxidative derivatives in H3K4me1 deposition. C_LIO_LITet TKO and Dnmt TKO affect enhancer priming in EpiLCs which is associated with failure to upregulate hematopoietic genes upon differentiation. C_LIO_LILong-range chromosomal interactions between primed enhancers and their target genes are weakened in both Dnmt and Tet TKO. C_LI

molecular biology↗

bioRxiv2022

Decoding gene regulation in the mouse embryo using single-cell multi-omics

Following gastrulation, the three primary germ layers develop into the major organs in a process known as organogenesis. Single-cell RNA sequencing has enabled the profiling of the gene expression dynamics of these cell fate decisions, yet a comprehensive map of the interplay between transcription factors and cis-regulatory elements is lacking, as are the underlying gene regulatory networks. Here we generate a multi-omics atlas of mouse early organogenesis by simultaneously profiling gene expression and chromatin accessibility from tens of thousands of single cells. We develop a computational method to leverage the multimodal readouts to predict transcription factor binding events in cis-regulatory elements, which we then use to infer gene regulatory networks that underpin lineage commitment events. Finally, we show that these models can be used to generate in silico predictions of the effect of transcription factor perturbations. We validate this experimentally by showing that Brachyury is essential for the differentiation of neuromesodermal progenitors to somitic mesoderm fate by priming cis-regulatory elements. The data set can be interactively explored at https://www.bioinformatics.babraham.ac.uk/shiny/shiny_multiome_organogenesis/

developmental biology↗

bioRxiv2022

Supervised spatial inference of dissociated single-cell data with SageNet

Spatially-resolved transcriptomics uncovers patterns of gene expression at supercellular, cellular, or subcellular resolution, providing insights into spatially variable cellular functions, diffusible morphogens, and cell-cell interactions. However, for practical reasons, multiplexed single cell RNA-sequencing remains the most widely used technology for profiling transcriptomes of single cells, especially in the context of large-scale anatomical atlassing. Devising techniques to accurately predict the latent physical positions as well as the latent cell-cell proximities of such dissociated cells, represents an exciting and new challenge. Most of the current approaches rely on an autocorrelation assumption, i.e., cells with similar transcriptomic profiles are located close to each other in physical space and vice versa. However, this is not always the case in native biological contexts due to complex morphological and functional patterning. To address this challenge, we developed SageNet, a graph neural network approach that spatially reconstructs dissociated single cell data using one or more spatial references. SageNet first estimates a gene-gene interaction network from a reference spatial dataset. This informs the structure of the graph on which the graph neural network is trained to predict the region of dissociated cells. Finally, SageNet produces a low-dimensional embedding of the query dataset, corresponding to the reconstructed spatial coordinates of the dissociated tissue. Furthermore, SageNet reveals spatially informative genes by extracting the most important features from the neural network model. We demonstrate the utility and robust performance of SageNet using molecule-resolved seqFISH and spot-based Spatial Transcriptomics reference datasets as well as dissociated single-cell data, across multiple biological contexts. SageNet is provided as an open-source python software package at https://github.com/MarioniLab/SageNet.

bioinformatics↗

bioRxiv2021

Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates

Recent breakthroughs in single-cell genomics allow probing molecular states of cells with unprecedented detail along the sequence of the DNA. Biological function relies, however, on emergent processes in the three-dimensional space of the nucleus, such as droplet formation through phase separation. Here, we use single-cell multi-omics sequencing to develop a theoretical framework to rigorously map epigenome profiling along the DNA sequence onto a description of the emergent spatial dynamics in the nucleus. Drawing on scNMT-seq multi-omics sequencing in vitro and in vivo we exemplify our approach in the context of exit from pluripotency and global de novo methylation of the genome. We show how DNA methylation patterns of the embryonic genome are established through the interplay between spatially correlated DNA methylation and topological changes to the DNA. This feedback leads to the predicted formation of 30-40nm sized condensates of methylated DNA and determines genome-scale DNA methylation rates. We verify these findings with orthogonal single cell multi-omics data that combine the methylome with HiC measurements. Notably, this scale of chromatin organization has recently been described by super-resolution microscopy. Using this framework, we identify local methylation correlations in gene bodies that precede transcriptional changes at the exit from pluripotency. Our work provides a general framework of how mechanistic insights into emergent processes underlying cell fate decisions can be gained by the combination of single-cell multi-omics and methods from theoretical physics that have not been applied in the context of genomics before. HighlightsO_LIWe develop methodology to infer collective spatio-temporal processes in the physical space of the nucleus from single-cell methylome sequencing experiments. C_LIO_LIWe show that DNA methylation relies on a feedback between de novo methylation and nanoscale changes in DNA topology, leading to the formation of methylation condensates. C_LIO_LIChromatin condensates at this scale have recently been described by high-resolution microscopy but have remained without mechanistic explanation. C_LIO_LIUsing this framework, we identify changes in the distribution of DNA methylation marks in gene bodies that precede gene silencing at the exit from pluripotency. C_LI

genomics↗

bioRxiv2020

Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis

Transcriptional and epigenetic profiling of single-cells has advanced our knowledge of the molecular bases of gastrulation and early organogenesis. However, current approaches rely on dissociating cells from tissues, thereby losing the crucial spatial context that is necessary for understanding cell and tissue interactions during development. Here, we apply an image-based single-cell transcriptomics method, seqFISH, to simultaneously and precisely detect mRNA molecules for 387 selected target genes in 8-12 somite stage mouse embryo tissue sections. By integrating spatial context and highly multiplexed transcriptional measurements with two single-cell transcriptome atlases we accurately characterize cell types across the embryo and demonstrate how spatially-resolved expression of genes not profiled by seqFISH can be imputed. We use this high-resolution spatial map to characterize fundamental steps in the patterning of the midbrain-hindbrain boundary and the developing gut tube. Our spatial atlas uncovers axes of resolution that are not apparent from single-cell RNA sequencing data - for example, in the gut tube we observe early dorsal-ventral separation of esophageal and tracheal progenitor populations. In sum, by computationally integrating high-resolution spatially-resolved gene expression maps with single-cell genomics data, we provide a powerful new approach for studying how and when cell fate decisions are made during early mammalian development.

developmental biology↗