具有双侧通路的模式胃肠道单层作为寄生虫肠道感染的可观察模型

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Moritz Hofer, Maria A. Duque-Correa, Matthias P. Lutolf
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引用次数: 0

摘要

用于模拟胃肠道组织生理和病理的类器官受到难以接近的管腔的限制。在这里,我们报告了双侧可接近的类器官衍生的图案上皮单层的发展和适用性,允许其顶端和基部独立操作。我们构建了胃、小肠、盲肠和结肠上皮模型,这些模型忠实地再现了它们各自的组织几何形状,并表现出干细胞区域化和与体内上皮的转录相似性。该模型的可观察性增强,使单细胞跟踪和研究细胞在浸泡培养和气液界面的运动成为可能。模拟盲肠上皮感染的寄生虫鼠毛虫模型使我们能够实时成像合胞隧道的形成。双侧可及的类器官来源胃肠道组织的可观察性增强,将有助于研究上皮细胞的动力学及其与病原体的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Patterned gastrointestinal monolayers with bilateral access as observable models of parasite gut infection

Patterned gastrointestinal monolayers with bilateral access as observable models of parasite gut infection

Organoids for modelling the physiology and pathology of gastrointestinal tissues are constrained by a poorly accessible lumen. Here we report the development and applicability of bilaterally accessible organoid-derived patterned epithelial monolayers that allow the independent manipulation of their apical and basal sides. We constructed gastric, small-intestinal, caecal and colonic epithelial models that faithfully reproduced their respective tissue geometries and that exhibited stem cell regionalization and transcriptional resemblance to in vivo epithelia. The models’ enhanced observability allowed single-cell tracking and studies of the motility of cells in immersion culture and at the air–liquid interface. Models mimicking infection of the caecal epithelium by the parasite Trichuris muris allowed us to live image syncytial tunnel formation. The enhanced observability of bilaterally accessible organoid-derived gastrointestinal tissue will facilitate the study of the dynamics of epithelial cells and their interactions with pathogens.

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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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