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用于计算非连续细胞内区室中荧光共振能量转移(FRET)的FRETcalc插件。

FRETcalc plugin for calculation of FRET in non-continuous intracellular compartments.

作者信息

Stepensky David

机构信息

Howard Hughes Medical Institute, Department of Immunobiology, Yale University School of Medicine, PO Box 208011, New Haven, CT 06520, USA.

出版信息

Biochem Biophys Res Commun. 2007 Aug 3;359(3):752-8. doi: 10.1016/j.bbrc.2007.05.180. Epub 2007 Jun 4.

Abstract

FRET has emerged as an important tool for studying intracellular processes and interactions between biomolecules. Intracellular donor and acceptor molecules are distributed in individual organelles that usually have complex non-continuous shape. Consequently, background pixels arising from fluorophore-free regions of the cell are proximal to FRET-positive pixels, leading to systemic errors in the estimated FRET values. This study introduces a new FRET(TH) algorithm for FRET estimation by acceptor photobleaching that separates the FRET-positive pixels from the background by applying user-defined thresholds for pixel selection. The FRET(TH) algorithm was validated by analysis of interactions between fluorescently tagged proteins in the endoplasmic reticulum using acquired and simulated images. The novel algorithm showed superior performance to the regular FRET calculation algorithm in acquired images and in most simulations. The developed algorithm was incorporated into the FRETcalc plugin for ImageJ program that enables user-defined choices of thresholds for calculation of FRET by acceptor photobleaching.

摘要

荧光共振能量转移(FRET)已成为研究细胞内过程和生物分子间相互作用的重要工具。细胞内的供体和受体分子分布在通常具有复杂非连续形状的各个细胞器中。因此,细胞中无荧光团区域产生的背景像素靠近FRET阳性像素,导致估计的FRET值出现系统误差。本研究引入了一种新的通过受体光漂白进行FRET估计的FRET(TH)算法,该算法通过应用用户定义的像素选择阈值将FRET阳性像素与背景分离。通过使用采集的和模拟的图像分析内质网中荧光标记蛋白之间的相互作用,对FRET(TH)算法进行了验证。在采集的图像和大多数模拟中,该新算法表现出优于常规FRET计算算法的性能。所开发的算法被纳入ImageJ程序的FRETcalc插件中,该插件允许用户自定义用于通过受体光漂白计算FRET的阈值选择。

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