Ririka Asama , Masahiro Tominaga , Sayaka Ito , Yoichiro Ito , Kazuhiro Takemura , Shun Sakuraba , Kohei Katsurada , Nobuo Fukuda , Akihiko Kondo , Jun Ishii
{"title":"利用酵母 Gγ 招募系统,通过定向进化筛选表皮生长因子受体胞内结构域的蛋白抑制剂。","authors":"Ririka Asama , Masahiro Tominaga , Sayaka Ito , Yoichiro Ito , Kazuhiro Takemura , Shun Sakuraba , Kohei Katsurada , Nobuo Fukuda , Akihiko Kondo , Jun Ishii","doi":"10.1016/j.jbiosc.2024.07.007","DOIUrl":null,"url":null,"abstract":"<div><div>Protein-based therapeutics, including antibodies and antibody-like-proteins, have increasingly attracted attention due to their high specificity compared to small-molecular drugs. The Gγ recruitment system, one of the <em>in vivo</em> yeast two-hybrid systems for detecting protein–protein interactions, has been previously developed using yeast signal transduction machinery. In this study, we modified the Gγ recruitment system to screen the protein mutants that efficiently bind to the intracellular domain of the epidermal growth factor receptor L858R mutant (cytoEGFR<sup>L858R</sup>). Using the modified platform, we performed <em>in vivo</em> directed evolution for growth factor receptor-bound protein 2 (Grb2) and its truncated variant containing only the Src-homology 2 (SH2) domain, successfully identifying several mutants that more strongly bound to cytoEGFR<sup>L858R</sup> than their parental proteins. Some of them contained novel beneficial mutations (F108Y and Q144H) and specifically bound to the recombinant cytosolic phosphorylated EGFR <em>in vitro</em>, highlighting the utility of the evolutionary platform.</div></div>","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"138 5","pages":"Pages 375-381"},"PeriodicalIF":2.3000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Screening of protein-based inhibitors for the intracellular domain of epidermal growth factor receptor by directed evolution using the yeast Gγ recruitment system\",\"authors\":\"Ririka Asama , Masahiro Tominaga , Sayaka Ito , Yoichiro Ito , Kazuhiro Takemura , Shun Sakuraba , Kohei Katsurada , Nobuo Fukuda , Akihiko Kondo , Jun Ishii\",\"doi\":\"10.1016/j.jbiosc.2024.07.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Protein-based therapeutics, including antibodies and antibody-like-proteins, have increasingly attracted attention due to their high specificity compared to small-molecular drugs. The Gγ recruitment system, one of the <em>in vivo</em> yeast two-hybrid systems for detecting protein–protein interactions, has been previously developed using yeast signal transduction machinery. In this study, we modified the Gγ recruitment system to screen the protein mutants that efficiently bind to the intracellular domain of the epidermal growth factor receptor L858R mutant (cytoEGFR<sup>L858R</sup>). Using the modified platform, we performed <em>in vivo</em> directed evolution for growth factor receptor-bound protein 2 (Grb2) and its truncated variant containing only the Src-homology 2 (SH2) domain, successfully identifying several mutants that more strongly bound to cytoEGFR<sup>L858R</sup> than their parental proteins. Some of them contained novel beneficial mutations (F108Y and Q144H) and specifically bound to the recombinant cytosolic phosphorylated EGFR <em>in vitro</em>, highlighting the utility of the evolutionary platform.</div></div>\",\"PeriodicalId\":15199,\"journal\":{\"name\":\"Journal of bioscience and bioengineering\",\"volume\":\"138 5\",\"pages\":\"Pages 375-381\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of bioscience and bioengineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389172324001968\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of bioscience and bioengineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389172324001968","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Screening of protein-based inhibitors for the intracellular domain of epidermal growth factor receptor by directed evolution using the yeast Gγ recruitment system
Protein-based therapeutics, including antibodies and antibody-like-proteins, have increasingly attracted attention due to their high specificity compared to small-molecular drugs. The Gγ recruitment system, one of the in vivo yeast two-hybrid systems for detecting protein–protein interactions, has been previously developed using yeast signal transduction machinery. In this study, we modified the Gγ recruitment system to screen the protein mutants that efficiently bind to the intracellular domain of the epidermal growth factor receptor L858R mutant (cytoEGFRL858R). Using the modified platform, we performed in vivo directed evolution for growth factor receptor-bound protein 2 (Grb2) and its truncated variant containing only the Src-homology 2 (SH2) domain, successfully identifying several mutants that more strongly bound to cytoEGFRL858R than their parental proteins. Some of them contained novel beneficial mutations (F108Y and Q144H) and specifically bound to the recombinant cytosolic phosphorylated EGFR in vitro, highlighting the utility of the evolutionary platform.
期刊介绍:
The Journal of Bioscience and Bioengineering is a research journal publishing original full-length research papers, reviews, and Letters to the Editor. The Journal is devoted to the advancement and dissemination of knowledge concerning fermentation technology, biochemical engineering, food technology and microbiology.