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  • 标题:Identification of mEAK-7 as a human V-ATPase regulator via cryo-EM data mining
  • 本地全文:下载
  • 作者:Longfei Wang ; Di Wu ; Carol V. Robinson
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2022
  • 卷号:119
  • 期号:35
  • DOI:10.1073/pnas.2203742119
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Vacuolar-type adenosine triphosphatases (V-ATPases) not only function as rotary proton pumps in cellular organelles but also serve as signaling hubs. To identify the endogenous binding partners of V-ATPase, we collected a large dataset of human V-ATPases and did extensive classification and focused refinement of human V-ATPases. Unexpectedly, about 17% of particles in state 2 of human V-ATPases display additional density with an overall resolution of 3.3 Å. Structural analysis combined with artificial intelligence modeling enables us to identify this additional density as mEAK-7, a protein involved in mechanistic target of rapamycin (mTOR) signaling in mammals. Our structure shows that mEAK-7 interacts with subunits A, B, D, and E of V-ATPases in state 2. Thus, we propose that mEAK-7 may regulate V-ATPase function through binding to V-ATPases in state 2 as well as mediate mTOR signaling.
  • 关键词:enV-ATPaselysosomal signalingmEAK-7mTOR
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