ArticleBiomaterials2019
Microengineered human amniotic ectoderm tissue array for high-content developmental phenotyping.
Article in Biomaterials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Synthetic embryos: current progress, application and challenges.Reproductive biology and endocrinology : RB&E · 2026Review
- Amniogenesis in embryos and stem cell models.Nature cell biology · 2026Review
- FATE-MAP predicts teratogenicity and human gastrulation failure modes by integrating deep learning and mechanistic modeling.Nature communications · 2026Article
- Stem cell-based human embryo models: current knowledge and open questions.Stem cell research & therapy · 2025Review
- Primate amnion development.Development (Cambridge, England) · 2024Review
- Article
- Temporally resolved early BMP-driven transcriptional cascade during human amnion specification.bioRxiv : the preprint server for biology · 2024Article
- Engineering human spinal microphysiological systems to model opioid-induced tolerance.Bioactive materials · 2023Article
- Engineering multiscale structural orders for high-fidelity embryoids and organoids.Cell stem cell · 2022Review
- Micro/nanoengineered technologies for human pluripotent stem cells maintenance and differentiation.Nano today · 2021Article
- Machine learning-assisted imaging analysis of a human epiblast model.Integrative biology : quantitative biosciences from nano to macro · 2021Article
- A Micropatterned Human-Specific Neuroepithelial Tissue for Modeling Gene and Drug-Induced Neurodevelopmental Defects.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Human Embryo Models and Drug Discovery.International journal of molecular sciences · 2021Review
- Effect of Cell Spreading on Rosette Formation by Human Pluripotent Stem Cell-Derived Neural Progenitor Cells.Frontiers in cell and developmental biology · 2020Article
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Authors and funding
7 authors.
Funding
Abstract
During early post-implantation human embryogenesis, the epiblast (EPI) within the blastocyst polarizes to generate a cyst with a central lumen. Cells at the uterine pole of the EPI cyst then undergo differentiation to form the amniotic ectoderm (AM), a tissue essential for further embryonic development. While the causes of early pregnancy failure are complex, improper lumenogenesis or amniogenesis of the EPI represent possible contributing factors. Here we report a novel AM microtissue array platform that allows quantitative phenotyping of lumenogenesis and amniogenesis of the EPI and demonstrate its potential application for embryonic toxicity profiling. Specifically, a human pluripotent stem cell (hPSC)-based amniogenic differentiation protocol was developed using a two-step micropatterning technique to generate a regular AM microtissue array with defined tissue sizes. A computer-assisted analysis pipeline was developed to automatically process imaging data and quantify morphological and biological features of AM microtissues. Analysis of the effects of cell density, cyst size and culture conditions revealed a clear connection between cyst size and amniogenesis of hPSC. Using this platform, we demonstrated that pharmacological inhibition of ROCK signaling, an essential mechanotransductive pathway, suppressed lumenogenesis but did not perturb amniogenic differentiation of hPSC, suggesting uncoupled regulatory mechanisms for AM morphogenesis vs. cytodifferentiation. The AM microtissue array was further applied to screen a panel of clinically relevant drugs, which successfully detected their differential teratogenecity. This work provides a technological platform for toxicological screening of clinically relevant drugs for their effects on lumenogenesis and amniogenesis during early human peri-implantation development, processes that have been previously inaccessible to study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.