Biosensor Förster resonance energy transfer detection by the phasor approach to fluorescence lifetime imaging microscopy

生物传感器 Förster 共振能量转移检测通过相量方法进行荧光寿命成像显微镜

阅读:6
作者:Elizabeth Hinde, Michelle A Digman, Christopher Welch, Klaus M Hahn, Enrico Gratton

Abstract

We present here the phasor approach to biosensor Förster resonance energy transfer (FRET) detection by fluorescence lifetime imaging microscopy (FLIM) and show that this method of data representation is robust towards biosensor design as well as the fluorescence artifacts inherent to the cellular environment. We demonstrate this property on a series of dual and single chain biosensors, which report the localization of Rac1 and RhoA activity, whilst performing concomitant ratiometric FRET analysis on the acquired FLIM data by the generalized polarization (GP) approach. We then evaluate and compare the ability of these two methods to quantitatively image biosensor FRET signal as a function of time and space. We find that with lifetime analysis in the phasor plot each molecular species is transformed into a two-dimensional coordinate system where independent mixtures of fluorophores can be distinguished from changes in lifetime due to FRET. This enables the fractional contribution of the free and bound state of a dual chain biosensor or the low and high FRET species of a single chain biosensor to be quantified in each pixel of an image. The physical properties intrinsic to each biosensor design are also accurately characterized by the phasor analysis; thus, this method could be used to inform biosensor optimization at the developmental stage. We believe that as biosensors become more sophisticated and are multiplexed with other fluorescent molecular tools, biosensor FRET detection by the phasor approach to FLIM will not only become imperative to their use but also their advancement.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。