{"title":"现在是多路剪辑的黄金时间。","authors":"Ke Wu, Francisco J Sánchez-Rivera","doi":"10.1016/j.xgen.2025.100852","DOIUrl":null,"url":null,"abstract":"<p><p>Prime editing screens allow precise and scalable studies of genetic variants in their native genomic context but are limited by variable editing efficiency. In this issue of Cell Genomics, Herger, Kajba, et al.<sup>1</sup> overcome these challenges by optimizing and applying prime editing screens to investigate variants in SMARCB1 and MLH1.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"5 4","pages":"100852"},"PeriodicalIF":11.1000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12008801/pdf/","citationCount":"0","resultStr":"{\"title\":\"It's prime time for multiplexed prime editing.\",\"authors\":\"Ke Wu, Francisco J Sánchez-Rivera\",\"doi\":\"10.1016/j.xgen.2025.100852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Prime editing screens allow precise and scalable studies of genetic variants in their native genomic context but are limited by variable editing efficiency. In this issue of Cell Genomics, Herger, Kajba, et al.<sup>1</sup> overcome these challenges by optimizing and applying prime editing screens to investigate variants in SMARCB1 and MLH1.</p>\",\"PeriodicalId\":72539,\"journal\":{\"name\":\"Cell genomics\",\"volume\":\"5 4\",\"pages\":\"100852\"},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12008801/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell genomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.xgen.2025.100852\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2025.100852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Prime editing screens allow precise and scalable studies of genetic variants in their native genomic context but are limited by variable editing efficiency. In this issue of Cell Genomics, Herger, Kajba, et al.1 overcome these challenges by optimizing and applying prime editing screens to investigate variants in SMARCB1 and MLH1.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
