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Updated: Oct 18, 2025

Trophoblast Cell Recovery from Angiogenesis-Tube Formation Assay for Differentiation Marker Expression Analysis
Published on: November 8, 2024
Disease-specific extracellular matrix composition regulates placental trophoblast fusion efficiency
Prabu Karthick Parameshwar1, Lucas Sagrillo-Fagundes2,3, Caroline Fournier3
1Department of Biological and Biomedical Engineering, McGill University, Montréal, Québec, Canada. chris.moraes@mcgill.ca.
Abstract:
The placental syncytiotrophoblast is a multinucleated layer that regulates transport between the mother and fetus. Fusion of trophoblasts is essential to form this layer, but this process can be disrupted in pregnancy-related disorders such as preeclampsia. Disease progression is also associated with changes in the extracellular matrix (ECM), but whether disease-specific ECM compositions play any causal role in establishing syncytiotrophoblast disease phenotypes remains unknown. Here, we develop a decellularization-based platform to isolate and characterize the role of human placental ECM composition on cell function, while controlling for the confounding effects of matrix structure and mechanics that can arise in conventional tissue decellularization/recellularization experiments. Using this approach, we demonstrate that ECM compositional changes that occur in preeclampsia have a statistically significant effect on adhesion, spreading, and fusion of placental trophoblasts. Proteomic analysis of ECM content then allowed us to identify and recreate selected differences in matrix composition; indicating that replacement of normally present Type IV Collagen by Type I Collagen in preeclampsia significantly affects fusion efficiency. These results indicate that disease-specific matrix compositions can play an important role in trophoblast fusion, suggesting novel matrix-targeting therapeutic strategies for pregnancy-related disorders. More broadly, this work demonstrates the utility of a decellularization-based approach in understanding the functional contributions of matrix composition in driving cellular disease phenotypes.
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