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van Esch, R.

Publications and source records attributed to van Esch, R..

2 recordsLinked to original sources

Human embryo implantation involves Syncytin-2/MFSD2A-mediated heterokaryon formation with maternal endometrium

Human embryo implantation involves attachment of the blastocyst to the endometrial epithelium to subsequently gain access to the underlying stromal compartment. The blastocyst is believed to cross the epithelium either by migration through, or upon apoptosis of, the endometrial epithelial cell layer. Yet, how the blastocyst exactly traverses the endometrial epithelium remains unknown. Here, we describe an in vitro implantation model of human blastoids and hormonally matured endometrial organoids amenable to high-resolution live imaging. We demonstrate that the initial step of implantation is mediated by the direct fusion of blastoid cells with endometrial epithelial cells. Blastoids express the fusion proteins Syncytin-1 and -2, while the endometrial epithelium mainly expresses the fusion co-receptor for Syncytin-2, called MFSD2A. CRISPR-induced loss of MFSD2A in the endometrial epithelium prevents blastoids from attaching and abolishes fusion. Together, these findings support a model in which fetal-maternal cell fusion constitutes the critical initiating mechanism of human embryo implantation, with endometrial MFSD2A playing an indispensable role in this process.

developmental biology↗

PanVA: a visual analytics tool for pangenomic variant analysis

SummaryThe growing number of sequences and increasing proof that single references create reference bias have driven the development of pangenomes to represent the genomic diversity of species. To leverage this complex diversity information for biological insights, analysis and visualization support are needed to explore the variants in the context of metadata and phylogenies. We developed PanVA, an interactive visual analytics tool for exploring sequence variants in groups of homologous sequences in their biological context. PanVA is a web application that allows users to explore existing instances or create new ones to visualize their own data. Availability and ImplementationThe PanVA source code is available on GitHub at https://github.com/PanBrowse/PanVA under the GPLv3 License. Documentation and and public demo instances showcasing examples can be accessed at https://panbrowse.github.io/PanVA/.

bioinformatics↗