优化单细胞门酵母显示筛选。

IF 2.6 4区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI:10.1093/protein/gzae018

Xiaoli Pan, Matheus O de Souza, Francisco M Figueiras, Aric Huang, Bailey B Banach, Jacy R Wolfe, Azady Pirhanov, Bharat Madan, Brandon J DeKosky

{"title":"优化单细胞门酵母显示筛选。","authors":"Xiaoli Pan, Matheus O de Souza, Francisco M Figueiras, Aric Huang, Bailey B Banach, Jacy R Wolfe, Azady Pirhanov, Bharat Madan, Brandon J DeKosky","doi":"10.1093/protein/gzae018","DOIUrl":null,"url":null,"abstract":"Yeast display is a widely used technology in antibody discovery and protein engineering. The cell size of yeast enables fluorescence-activated cell sorting (FACS) to precisely screen gene libraries, including for multi-parameter selection of protein phenotypes. However, yeast cells show a broader size distribution than mammalian cells that complicates single-cell gate determination for FACS. In this report, we analyze several yeast display gating options in detail and present an optimized strategy to select single yeast cells via flow cytometry. These data reveal optimized single-cell gating strategies to support robust and high-efficiency yeast display studies.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11723770/pdf/","citationCount":"0","resultStr":"{\"title\":\"Optimized single-cell gates for yeast display screening.\",\"authors\":\"Xiaoli Pan, Matheus O de Souza, Francisco M Figueiras, Aric Huang, Bailey B Banach, Jacy R Wolfe, Azady Pirhanov, Bharat Madan, Brandon J DeKosky\",\"doi\":\"10.1093/protein/gzae018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Yeast display is a widely used technology in antibody discovery and protein engineering. The cell size of yeast enables fluorescence-activated cell sorting (FACS) to precisely screen gene libraries, including for multi-parameter selection of protein phenotypes. However, yeast cells show a broader size distribution than mammalian cells that complicates single-cell gate determination for FACS. In this report, we analyze several yeast display gating options in detail and present an optimized strategy to select single yeast cells via flow cytometry. These data reveal optimized single-cell gating strategies to support robust and high-efficiency yeast display studies.\",\"PeriodicalId\":54543,\"journal\":{\"name\":\"Protein Engineering Design & Selection\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11723770/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Protein Engineering Design & Selection\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/protein/gzae018\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Protein Engineering Design & Selection","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/protein/gzae018","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

酵母展示技术在抗体发现和蛋白质工程中有着广泛的应用。酵母的细胞大小使荧光激活细胞分选（FACS）能够精确筛选基因文库，包括蛋白质表型的多参数选择。然而，酵母细胞比哺乳动物细胞表现出更广泛的大小分布，这使得单细胞门测定变得复杂。在本报告中，我们详细分析了几种酵母显示门控选项，并提出了一种通过流式细胞术选择单个酵母细胞的优化策略。这些数据揭示了优化的单细胞门控策略，以支持稳健和高效的酵母展示研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Optimized single-cell gates for yeast display screening.

Yeast display is a widely used technology in antibody discovery and protein engineering. The cell size of yeast enables fluorescence-activated cell sorting (FACS) to precisely screen gene libraries, including for multi-parameter selection of protein phenotypes. However, yeast cells show a broader size distribution than mammalian cells that complicates single-cell gate determination for FACS. In this report, we analyze several yeast display gating options in detail and present an optimized strategy to select single yeast cells via flow cytometry. These data reveal optimized single-cell gating strategies to support robust and high-efficiency yeast display studies.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Protein Engineering Design & Selection 生物-生化与分子生物学

CiteScore

3.30

自引率

4.20%

发文量

审稿时长

6-12 weeks

期刊介绍： Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.

期刊最新文献

Optimized single-cell gates for yeast display screening. Engineering of a lysosomal-targeted GAA enzyme. Enhancing the Thermostability and solubility of a single-domain catalytic antibody. TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks. Correction to: De novo design of a polycarbonate hydrolase.