Biology subjects

Corujo-Simon, E.

Publications and source records attributed to Corujo-Simon, E..

5 recordsLinked to original sources

bioRxiv2025

Wnt/β-catenin signalling assists cell fate decision making in the early mouse embryo

Cell fate choice is a key event happening during preimplantation mouse development. From embryonic day 3.5 (E3.5) to E4.5, the inner cell mass (ICM) differentiates into epiblast (Epi, NANOG expressing cells) and primitive endoderm (PrE, GATA6, SOX17 and/or GATA4 expressing cells). The mechanism by which ICM cells differentiate into Epi cells and PrE cells remains partially unknown. FGF/ERK has been proposed as the main signalling pathway for this event, but it does not explain co-expression of NANOG and GAT6 or how the cell fate choice is initiated. In this study, we investigate whether Wnt/{beta}-catenin signalling also plays a role. To this end, we use two in vitro models based on inducible GATA6 expression: one in 2D, and another in 3D, namely ICM organoids. By combining these in vitro models with in vivo mouse embryos, chemical and classical genetics, and quantitative 3D immunofluorescence analyses, we propose a dual role for Wnt/{beta}-catenin signalling. We find that {beta}-catenin, acting alongside FGF/ERK signalling, helps to guide the cell fate choice towards PrE. Additionally, by regulating GATA6 and GATA4 stability, {beta}-catenin further facilitates this choice. To summarise, we observe that pathway activation promotes PrE differentiation, while its inhibition stalls it. SUMMARY STATEMENTWnt/{beta}-catenin signalling promotes PrE fate in mouse preimplantation embryos.

developmental biology↗

bioRxiv2022

Evidence implicating sequential commitment of the founder lineages in the human blastocyst by order of hypoblast gene activation

Successful human pregnancy depends upon rapid establishment of three founder lineages: trophectoderm, epiblast and hypoblast, which together form the blastocyst. Each plays an essential role in preparing the embryo for implantation and subsequent development. Several models are proposed to define the lineage segregation. The first suggests that all specify simultaneously; the second favours differentiation of trophectoderm before separation of epiblast and hypoblast, either via differentiation of hypoblast from established epiblast, or production of both tissues from the inner cell mass precursor. To begin to resolve this discrepancy and thereby understand the sequential process for production of viable human embryos, we investigated the expression order of genes associated with emergence of hypoblast. Based upon published data and immunofluorescence analysis for candidate genes, we present a basic blueprint for human hypoblast differentiation, lending support to the proposed model of sequential segregation of the founder lineages of the human blastocyst. The first characterised marker, specific initially to the early inner cell mass, and subsequently identifying presumptive hypoblast is PDGFRA, followed by SOX17, FOXA2 and GATA4 in sequence as the hypoblast becomes committed. Summary StatementOptimal segregation of human blastocyst founder lineages is essential to establish healthy human pregnancies. Mapping activation of hypoblast marker genes over time helps understand how the yolk sac is regulated.

developmental biology↗

bioRxiv2021

insideOutside: an accessible algorithm for classifying interior and exterior points, with applications in embryology

A crucial aspect of embryology is relating the position of individual cells to the broader geometry of the embryo. A classic example of this is the first cell-fate decision of the mouse embryo, where interior cells become inner cell mass and exterior cells become trophectoderm. Fluorescent labelling, imaging, and quantification of tissue-specific proteins have advanced our understanding of this dynamic process. However instances arise where these markers are either not available, or not reliable, and we are left only with the cells spatial locations. Therefore, a simple, robust method for classifying interior and exterior cells of an embryo using spatial information is required. Here, we describe a simple mathematical framework and an unsupervised machine learning approach, termed insideOutside, for classifying interior and exterior points of a three-dimensional point-cloud, a common output from imaged cells within the early mouse embryo. We benchmark our method against other published methods to demonstrate that it yields greater accuracy in classification of nuclei from the pre-implantation mouse embryos and greater accuracy when challenged with local surface concavities. We have made MATLAB and Python implementations of the method freely available. This method should prove useful for embryology, with broader applications to similar data arising in the life sciences.

developmental biology↗

bioRxiv2020

Cell surface fluctuations regulate early embryonic lineage sorting

In development, lineage segregation of multiple lineages must be coordinated in time and space. An important example is the mammalian inner cell mass (ICM), in which the primitive endoderm (PrE, founder of the yolk sac) physically segregates from the epiblast (EPI, founder of the foetus). The physical mechanisms that determine this spatial segregation between EPI and PrE are still poorly understood. Here, we identify an asymmetry in cell-cell affinity, a mechanical property thought to play a significant role in tissue sorting in other systems, between EPI and PrE precursors (pEPI and pPrE). However, a computational model of cell sorting indicated that these differences alone appeared insufficient to explain the spatial segregation. We also observed significantly greater surface fluctuations in pPrE compared to pEPI. Including the enhanced surface fluctuation in pPrE in our simulation led to robust cell sorting. We identify phospho-ERM regulated membrane tension as an important mediator of the increased surface fluctuations in pPrE. Using aggregates of engineered cell lines with different surface fluctuation levels cells with higher surface fluctuations were consistently excluded to the outside of the aggregate. These cells behaved similarly when incorporated in the embryo. Surface fluctuations-driven segregation is reminiscent of activity-induced phase separation, a sorting phenomenon in colloidal physics. Together, our experiments and model identify dynamic cell surface fluctuations, in addition to static mechanical properties, as a key factor for orchestrating the correct spatial positioning of the founder embryonic lineages.

developmental biology↗

bioRxiv2017

Three-dimensional cell neighbourhood impacts differentiation in the inner mass cells of the mouse blastocyst

During mammalian blastocyst development, inner cell mass (ICM) cells differentiate into epiblast (Epi) or primitive endoderm (PrE). These two fates are characterised by the transcription factors NANOG and GATA6, respectively. Here, we present quantitative three-dimensional single cell-based neighbourhood analyses to investigate the spatial distribution of NANOG and GATA6 expression in the ICM of the mouse blastocyst. The cell neighbourhood is characterised by the expression levels of the fate markers in the surrounding cells, together with the number of surrounding cells and cell position. We find that cell neighbourhoods are established in early blastocysts and different for cells expressing different levels of NANOG and GATA6. Highest NANOG expressing cells occupy specific positions within the ICM and are surrounded by 9 neighbours, while GATA6 expressing cells cluster according to their GATA6 levels. The analysis of mutants reveals that NANOG local neighbourhood is regulated by GATA6.\n\nSummary statementThree-dimensional cell neighbourhood, which includes fate marker levels, number of neighbouring cells and cell position, determines cell fate decision in early mouse embryos.

developmental biology↗