What insights can spatiotemporal esophageal atlases and deep learning bring to engineering the esophageal mucosa?

IF 10.7 1区生物学 Q1 CELL BIOLOGY

Developmental cell Pub Date : 2025-05-05 DOI:10.1016/j.devcel.2025.04.009

Shuyan Wang, Nianping Liu, Kun Qu

引用次数: 0

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.

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时空食道地图集和深度学习能为食道黏膜工程带来哪些启示？

在本期的Developmental Cell中，Yang等人提出了一个综合实验和计算平台，该平台绘制了人类食道的时空发育图，并预测了控制上皮分化的关键信号通路。他们的发现为从人类多能干细胞（hPSCs）生成食管黏膜提供了一种无xeno、可扩展的策略，展示了将空间发育数据与深度学习相结合的力量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Developmental cell 生物-发育生物学

CiteScore

18.90

自引率

1.70%

发文量

203

审稿时长

3-6 weeks

期刊介绍： Developmental Cell, established in 2001, is a comprehensive journal that explores a wide range of topics in cell and developmental biology. Our publication encompasses work across various disciplines within biology, with a particular emphasis on investigating the intersections between cell biology, developmental biology, and other related fields. Our primary objective is to present research conducted through a cell biological perspective, addressing the essential mechanisms governing cell function, cellular interactions, and responses to the environment. Moreover, we focus on understanding the collective behavior of cells, culminating in the formation of tissues, organs, and whole organisms, while also investigating the consequences of any malfunctions in these intricate processes.