Laminin Receptors in Peripheral Tissues: Functions Revealed by Analysis of Knockout Mice.

IF 3.6 2区 医学 Q1 PATHOLOGY
Wanling Xuan, Yao Yao
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引用次数: 0

Abstract

Laminin, by interacting with its receptors (mainly integrins and dystroglycan), exerts a variety of important functions in multiple organs. Loss-of-function studies have described the essential roles of laminin receptors in both physiological and pathologic conditions. This review summarizes the pathology and loss-of-function phenotypes of laminin receptors, including integrin-α3, integrin-α6, integrin-α7, integrin-β1, integrin-β4, and dystroglycan, focusing on the skin, kidney, skeletal muscle, peripheral nervous system, mammary gland, lung, and heart. To explore the functional redundancy/compensation among different laminin receptors, the phenotypes of compound knockout mice are compared with that of single mutants. Next, key signaling pathways downstream of each laminin receptor are summarized and compared. In addition, key questions in the field and future directions are also discussed. The aim of this review was to provide a synthetic review on loss-of-function studies of laminin receptors and foster the formation and testing of new hypotheses in the field.

外周组织层粘连蛋白受体——敲除小鼠分析揭示的功能。
层粘连蛋白通过与其受体(主要是整合素和糖酐)相互作用,在多个器官中发挥多种重要功能。功能丧失研究已经证明了层粘连蛋白受体在生理和病理条件下的重要作用。本文综述了层粘连蛋白受体的病理和功能丧失表型,包括整合素-α3、-α6、-α7、-β1、-β4和糖酐异常,重点介绍了皮肤、肾脏、骨骼肌、周围神经系统、乳腺、肺和心脏。为了探索不同层粘连蛋白受体之间的功能冗余/补偿,我们将复合敲除小鼠的表型与单突变小鼠的表型进行了比较。接下来,总结和比较各层粘连蛋白受体下游的关键信号通路。此外,还对该领域的关键问题和未来发展方向进行了讨论。本文旨在对层粘连蛋白受体功能丧失的研究进行综述,并促进该领域新假设的形成和检验。
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
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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