{"title":"Cryo-EM structure of the human subcortical maternal complex and the associated discovery of infertility-associated variants","authors":"Pengliang Chi, Guojin Ou, Sibei Liu, Qianhong Ma, Yuechao Lu, Jinhong Li, Jialu Li, Qianqian Qi, Zhuo Han, Zihan Zhang, Qingting Liu, Li Guo, Jing Chen, Xiang Wang, Wei Huang, Lei Li, Dong Deng","doi":"10.1038/s41594-024-01396-2","DOIUrl":null,"url":null,"abstract":"The functionally conserved subcortical maternal complex (SCMC) is essential for early embryonic development in mammals. Reproductive disorders caused by pathogenic variants in NLRP5, TLE6 and OOEP, three core components of the SCMC, have attracted much attention over the past several years. Evaluating the pathogenicity of a missense variant in the SCMC is limited by the lack of information on its structure, although we recently solved the structure of the mouse SCMC and proposed that reproductive disorders caused by pathogenic variants are related to the destabilization of the SCMC core complex. Here we report the cryogenic electron microscopy structure of the human SCMC and uncover that the pyrin domain of NLRP5 is essential for the stability of SCMC. By combining prediction of SCMC stability and in vitro reconstitution, we provide a method for identifying deleterious variants, and we successfully identify a new pathogenic variant of TLE6 (p.A396T). Thus, on the basis of the structure of the human SCMC, we offer a strategy for the diagnosis of reproductive disorders and the discovery of new infertility-associated variants. On the basis of the assembly mechanism and structures of the human subcortical maternal complex, the authors provide a strategy for the diagnosis of reproductive disorders and the discovery of new infertility-associated SCMC variants.","PeriodicalId":49141,"journal":{"name":"Nature Structural & Molecular Biology","volume":"31 11","pages":"1798-1807"},"PeriodicalIF":12.5000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Structural & Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41594-024-01396-2","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The functionally conserved subcortical maternal complex (SCMC) is essential for early embryonic development in mammals. Reproductive disorders caused by pathogenic variants in NLRP5, TLE6 and OOEP, three core components of the SCMC, have attracted much attention over the past several years. Evaluating the pathogenicity of a missense variant in the SCMC is limited by the lack of information on its structure, although we recently solved the structure of the mouse SCMC and proposed that reproductive disorders caused by pathogenic variants are related to the destabilization of the SCMC core complex. Here we report the cryogenic electron microscopy structure of the human SCMC and uncover that the pyrin domain of NLRP5 is essential for the stability of SCMC. By combining prediction of SCMC stability and in vitro reconstitution, we provide a method for identifying deleterious variants, and we successfully identify a new pathogenic variant of TLE6 (p.A396T). Thus, on the basis of the structure of the human SCMC, we offer a strategy for the diagnosis of reproductive disorders and the discovery of new infertility-associated variants. On the basis of the assembly mechanism and structures of the human subcortical maternal complex, the authors provide a strategy for the diagnosis of reproductive disorders and the discovery of new infertility-associated SCMC variants.
期刊介绍:
Nature Structural & Molecular Biology is a comprehensive platform that combines structural and molecular research. Our journal focuses on exploring the functional and mechanistic aspects of biological processes, emphasizing how molecular components collaborate to achieve a particular function. While structural data can shed light on these insights, our publication does not require them as a prerequisite.