Lung Organoids-The Ultimate Tool to Dissect Pulmonary Diseases?
Lung Organoids-The Ultimate Tool to Dissect Pulmonary Diseases?
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DOI：
10.3389/fcell.2022.899368
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发表时间：
2022
影响因子：
5.5
通讯作者：
中科院分区：
文献类型：
--
作者：
类器官是复杂的多细胞三维（3D）体外模型，旨在精确研究人体器官的分子过程和病理学。类器官可以来源于多种细胞类型，例如人原代祖细胞、多能干细胞或肿瘤来源的细胞，并且可以与免疫或微生物细胞共培养以进一步模拟组织生态位。在这里，我们专注于3D肺类器官的开发及其作为疾病模型和药物筛选工具的用途。我们介绍了用于模拟复杂人类疾病的各种实验方法，并分析了它们的优点和缺点。我们还讨论了类器官的验证及其与肺部疾病研究的生理相关性。此外，我们总结了目前使用的肺类器官作为宿主-病原体相互作用和人类肺部疾病，如囊性纤维化，慢性阻塞性肺疾病，或SARS-CoV-2感染的模型。此外，我们还讨论了来自肿瘤细胞的肺类器官作为肺癌模型的用途及其在个性化癌症医学研究中的应用。最后，我们概述了人类诱导多能干细胞衍生类器官领域的研究前景。
Organoids are complex multicellular three-dimensional (3D) in vitro models that are designed to allow accurate studies of the molecular processes and pathologies of human organs. Organoids can be derived from a variety of cell types, such as human primary progenitor cells, pluripotent stem cells, or tumor-derived cells and can be co-cultured with immune or microbial cells to further mimic the tissue niche. Here, we focus on the development of 3D lung organoids and their use as disease models and drug screening tools. We introduce the various experimental approaches used to model complex human diseases and analyze their advantages and disadvantages. We also discuss validation of the organoids and their physiological relevance to the study of lung diseases. Furthermore, we summarize the current use of lung organoids as models of host-pathogen interactions and human lung diseases such as cystic fibrosis, chronic obstructive pulmonary disease, or SARS-CoV-2 infection. Moreover, we discuss the use of lung organoids derived from tumor cells as lung cancer models and their application in personalized cancer medicine research. Finally, we outline the future of research in the field of human induced pluripotent stem cell-derived organoids.
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影响因子：
5
作者：
Aichler, Michaela;Kunzke, Thomas;Walch, Axel
通讯作者：
Walch, Axel
影响因子：
10
作者：
David B;Bafadhel M;Koenderman L;De Soyza A
通讯作者：
De Soyza A
人类肺发育和疾病的三维模型来自多能干细胞。
影响因子：
21.3
作者：
Chen YW;Huang SX;de Carvalho ALRT;Ho SH;Islam MN;Volpi S;Notarangelo LD;Ciancanelli M;Casanova JL;Bhattacharya J;Liang AF;Palermo LM;Porotto M;Moscona A;Snoeck HW
通讯作者：
Snoeck HW
影响因子：
2.3
作者：
Cunniff B;Druso JE;van der Velden JL
通讯作者：
van der Velden JL
影响因子：
8.8
作者：
Berkers, Gitte;van Mourik, Peter;van der Ent, Cornelis K.
通讯作者：
van der Ent, Cornelis K.