{"title":"Protocol for single-molecule imaging of transcription and epigenetic factors in human neural stem cell-derived neurons.","authors":"Yuri Atsumi, Nobuhiko Yamamoto, Noriyuki Sugo","doi":"10.1016/j.xpro.2024.103432","DOIUrl":null,"url":null,"abstract":"<p><p>Single-molecule imaging (SMI) is a powerful approach to quantify the spatiotemporal dynamics of transcription in living cells. Here, we describe a protocol of SMI for transcription and epigenetic factors in human cortical neurons derived from embryonic stem cells or induced pluripotent stem cells. Specifically, we detail the procedures for neural stem cell culture, gene transfer, microscopy, and data analysis. This protocol can be applied to the study of transcription dynamics in response to various cellular stimuli. For complete details on the use and execution of this protocol, please refer to Atsumi et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"5 4","pages":"103432"},"PeriodicalIF":1.3000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11565389/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"STAR Protocols","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xpro.2024.103432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/1 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Single-molecule imaging (SMI) is a powerful approach to quantify the spatiotemporal dynamics of transcription in living cells. Here, we describe a protocol of SMI for transcription and epigenetic factors in human cortical neurons derived from embryonic stem cells or induced pluripotent stem cells. Specifically, we detail the procedures for neural stem cell culture, gene transfer, microscopy, and data analysis. This protocol can be applied to the study of transcription dynamics in response to various cellular stimuli. For complete details on the use and execution of this protocol, please refer to Atsumi et al.1.