Biology subjects

Tyser, R. C. V.

Publications and source records attributed to Tyser, R. C. V..

6 recordsLinked to original sources

bioRxiv2024

Calcium signalling is required for anterior patterning in the mouse embryo

Anterior-Posterior axis formation in the mouse embryo requires the active migration of the DVE cell population at E5.5. While intracellular Ca2+ signalling has been shown to control cell migration in multiple cell contexts, it is unknown whether it is required for DVE migration. The pattern of Ca2+ activity in the mouse embryo at early peri-implantation stages is also unknown. Using the GCaMP6f Ca2+ reporter line we performed a detailed assessment of Ca2+ dynamics between E0.5 - E5.5 using live imaging. We find that prior to implantation, Ca2+ transients are rare, but at E5.5 widespread, periodic, Ca2+ transients in extra-embryonic tissues can be observed, including in the VE and ExE. In contrast, cells of the E5.5 epiblast remain relatively quiescent but show sporadic large-scale multi-cellular waves. Inhibition of SERCA at E5.5 abolishes Ca2+ transients and leads to DVE arrest, indicative that these transients are required for axial patterning. Together these results reveal the pattern of Ca2+ handling in the early mouse embryo and a novel requirement in anterior-posterior axis formation.

developmental biology↗

bioRxiv2022

Molecular characterization of Left-Right symmetry breaking in the mouse embryo

The asymmetric morphology of the mammalian heart is essential to its function as the organ of pulmonary and systemic double circulation. Left-right asymmetry is established by a leftward flow in the node that results in the asymmetric expression of Nodal. This triggers a cascade of asymmetric expression of downstream genes, such as Pitx2c, in the lateral plate mesoderm that gives rise to the first morphologically recognizable primordial heart structure, the cardiac crescent. Relatively little is known about gene expression asymmetries in the cardiac crescent that might underpin asymmetric cardiac morphogenesis. To systematically identify asymmetrically expressed genes, we performed a single-cell transcriptional analysis of manually dissected left and right halves of the cardiac crescent at stages spanning symmetry breaking. This revealed both left and right-sided genes that have not previously been implicated in left-right symmetry breaking. Some of these were expressed in multiple cell types but showed asymmetric expression in only a sub-set of cell types. We validated these findings using multiplexed in situ Hybridization Chain Reaction (HCR) and high-resolution volume imaging to characterize the expression patterns of select genes. Using Dnahiv/iv mutant embryos that show randomized situs, we established that all the genes tested tracked the asymmetric expression of Pitx2c, indicating their asymmetric expression also arose from the early asymmetries at the node. This study provides a high-fidelity molecular characterization of left-right symmetry breaking during cardiac crescent formation, providing a basis for future mechanistic studies on asymmetric cardiac morphogenesis.

developmental biology↗

bioRxiv2022

Chromatin remodeller Chd7 is developmentally regulated in the neural crest by tissue-specific transcription factors

Neurocristopathies such as CHARGE syndrome result from aberrant neural crest development. A large proportion of CHARGE cases are attributed to mutations in the gene encoding CHD7, chromodomain helicase DNA binding protein 7, which remodels chromatin. While the role for CHD7 in neural crest development is well documented, it remains elusive how this seemingly ubiquitous factor is specifically upregulated in neural crest cells. Here, we use epigenomic profiling of chick neural crest to identify a cohort of enhancers regulating Chd7 expression in neural crest cells and other tissues. We functionally validate upstream transcription factor binding at candidate enhancers, revealing novel epistatic relationships between neural crest master regulators and Chd7. To our knowledge, this is the first report of tissue-specific regulation of a chromatin remodeller. Furthermore, we find conserved enhancer features in human embryonic epigenomic data and validate the activity of the human equivalent CHD7 enhancers in the chick embryo. Collectively our findings embed Chd7 in the neural crest gene regulatory network and offer potentially clinically relevant elements for interpreting CHARGE syndrome cases without causative allocation.

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↗

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↗

bioRxiv2020

A spatially resolved single cell atlas of human gastrulation

Gastrulation is the fundamental process during the embryogenesis of all multicellular animals through which the basic body plan is first laid down. It is pivotal in generating cellular diversity coordinated with spatial patterning. Gastrulation in humans occurs in the third week following fertilization. Our understanding of this process in humans is extremely limited, and based almost entirely on experimental models. Here, we characterize in a spatially resolved manner the single cell transcriptional profile of an entire gastrulating human embryo approximately 16 to 19 days after fertilization. We used these data to provide the first unequivocal demonstration that human embryonic stem cells represent the early post implantation epiblast. We identified both primordial germ cells and red blood cells, which had never been characterized so early during human development. Comparison with mouse gastrula transcriptomes revealed many commonalities between the human and mouse but also several key differences, particularly in FGF signaling, that we validated experimentally. This unique dataset offers a unique glimpse into a central but generally inaccessible stage of our development, provides new context for interpreting experiments in other model systems and represents a valuable resource for guiding directed differentiation of human cells in vitro.

developmental biology↗