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Updated: Jul 23, 2026

Production, Characterization and Potential Uses of a 3D Tissue-engineered Human Esophageal Mucosal Model
Published on: May 18, 2015
What insights can spatiotemporal esophageal atlases and deep learning bring to engineering the esophageal mucosa?
Shuyan Wang1, Nianping Liu2, Kun Qu1
1Department of Oncology, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China; School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei 230027, China.
Abstract:
In this issue of Developmental Cell, Yang et al. present an integrated experimental and computational platform that maps the spatiotemporal development of the human esophagus and predicts key signaling pathways governing epithelial differentiation. Their findings enable a xeno-free, scalable strategy for generating esophageal mucosa from human pluripotent stem cells (hPSCs), demonstrating the power of combining spatial developmental data with deep learning.

