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ShanghaiTech University Knowledge Management System
Mechanistic Insights into Membrane Protein Clustering Revealed by Visualizing EGFR Secretion | |
2022-10-19 | |
发表期刊 | RESEARCH (IF:8.5[JCR-2023],8.7[5-Year]) |
ISSN | 2096-5168 |
EISSN | 2639-5274 |
卷号 | 2022 |
发表状态 | 已发表 |
DOI | 10.34133/2022/9835035 |
摘要 | Most plasmalemmal proteins are organized into clusters to modulate various cellular functions. However, the machineries that regulate protein clustering remain largely unclear. Here, with EGFR as an example, we directly and in detail visualized the entire process of EGFR from synthesis to secretion onto the plasma membrane (PM) using a high-speed, high-resolution spinning-disk confocal microscope. First, colocalization imaging revealed that EGFR secretory vesicles underwent transport from the ER to the Golgi to the PM, eventually forming different distribution forms on the apical and basal membranes; that is, most EGFR formed larger clusters on the apical membrane than the basal membrane. A dynamic tracking image and further siRNA interference experiment confirmed that fusion of secretory vesicles with the plasma membrane led to EGFR clusters, and we showed that EGFR PM clustering may be intimately related to EGFR signaling and cell proliferation. Finally, we found that the size and origin of the secretory vesicles themselves may determine the difference in the distribution patterns of EGFR on the PM. More importantly, we showed that actin influenced the EGFR distribution by controlling the fusion of secretory vesicles with the PM. Collectively, a comprehensive understanding of the EGFR secretion process helps us to unravel the EGFR clustering process and elucidate the key factors determining the differences in the spatial distribution of EGFR PM, highlighting the correlation between EGFR secretion and its PM distribution pattern. |
URL | 查看原文 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
资助项目 | [22150003] ; [21727816] ; [21721003] ; [ZDKYYQ20220005] ; [YDZJ202201ZYTS530] |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000889652900001 |
出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/251698 |
专题 | 生命科学与技术学院_博士生 生命科学与技术学院_特聘教授组_季红斌组 |
通讯作者 | Zhao, Yikai; Wang, Hongda |
作者单位 | 1.Chinese Acad Sci, Changchun Inst Appl Chem, State Key Lab Electroanalyt Chem, Changchun 130022, Jilin, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Biochem & Cell Biol, Ctr Excellence Mol Cell Sci, State Key Lab Cell Biol, Shanghai 200031, Peoples R China 3.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 200031, Peoples R China 4.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Sch Life Sci, Hangzhou 130102, Peoples R China 7.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Haijiao,Zhang, Jinrui,Zhou, Yijia,et al. Mechanistic Insights into Membrane Protein Clustering Revealed by Visualizing EGFR Secretion[J]. RESEARCH,2022,2022. |
APA | Xu, Haijiao.,Zhang, Jinrui.,Zhou, Yijia.,Zhao, Guanfang.,Cai, Mingjun.,...&Wang, Hongda.(2022).Mechanistic Insights into Membrane Protein Clustering Revealed by Visualizing EGFR Secretion.RESEARCH,2022. |
MLA | Xu, Haijiao,et al."Mechanistic Insights into Membrane Protein Clustering Revealed by Visualizing EGFR Secretion".RESEARCH 2022(2022). |
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