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{"title":"Genetically Encoded FRET-Based Tension Sensors","authors":"Anna-Lena Cost, Samira Khalaji, Carsten Grashoff","doi":"10.1002/cpcb.85","DOIUrl":null,"url":null,"abstract":"<p>Genetically encoded Förster resonance energy transfer (FRET)-based tension sensors measure piconewton-scale forces across individual molecules in living cells or whole organisms. These biosensors show comparably high FRET efficiencies in the absence of tension, but FRET quickly decreases when forces are applied. In this article, we describe how such biosensors can be generated for a specific protein of interest, and we discuss controls to confirm that the observed differences in FRET efficiency reflect changes in molecular tension. These FRET efficiency changes can be related to mechanical forces as the FRET–force relationship of the employed tension sensor modules are calibrated. We provide information on construct generation, expression in cells, and image acquisition using live-cell fluorescence lifetime imaging microscopy (FLIM). Moreover, we describe how to analyze, statistically evaluate, and interpret the resulting data sets. Together, these protocols should enable the reader to plan, execute, and interpret FRET-based tension sensor experiments. © 2019 by John Wiley & Sons, Inc.</p>","PeriodicalId":40051,"journal":{"name":"Current Protocols in Cell Biology","volume":"83 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpcb.85","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Cell Biology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpcb.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 14
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Abstract
Genetically encoded Förster resonance energy transfer (FRET)-based tension sensors measure piconewton-scale forces across individual molecules in living cells or whole organisms. These biosensors show comparably high FRET efficiencies in the absence of tension, but FRET quickly decreases when forces are applied. In this article, we describe how such biosensors can be generated for a specific protein of interest, and we discuss controls to confirm that the observed differences in FRET efficiency reflect changes in molecular tension. These FRET efficiency changes can be related to mechanical forces as the FRET–force relationship of the employed tension sensor modules are calibrated. We provide information on construct generation, expression in cells, and image acquisition using live-cell fluorescence lifetime imaging microscopy (FLIM). Moreover, we describe how to analyze, statistically evaluate, and interpret the resulting data sets. Together, these protocols should enable the reader to plan, execute, and interpret FRET-based tension sensor experiments. © 2019 by John Wiley & Sons, Inc.
基因编码的基于fret的张力传感器
基因编码Förster共振能量转移(FRET)为基础的张力传感器测量在活细胞或整个生物体的单个分子皮牛顿尺度的力。这些生物传感器在没有张力的情况下显示出相当高的FRET效率,但当施加力时FRET迅速下降。在本文中,我们描述了如何为感兴趣的特定蛋白质生成这种生物传感器,并讨论了控制,以确认观察到的FRET效率差异反映了分子张力的变化。当所使用的张力传感器模块的FRET -力关系被校准时,这些FRET效率的变化可以与机械力有关。我们提供了关于构建的生成、细胞中的表达和使用活细胞荧光寿命成像显微镜(FLIM)获取图像的信息。此外,我们还描述了如何分析、统计评估和解释结果数据集。总之,这些协议应该使读者能够计划,执行和解释基于fret的张力传感器实验。©2019 by John Wiley &儿子,Inc。
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