用双偏振干涉法测定ERβ与单突变ERE的结合亲和力

IF 2.4 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
H. Song, X. Su
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引用次数: 0

摘要

在雌激素的经典作用模式中,雌激素受体(er)结合雌激素反应元件(ERE)激活基因转录。一个完美的ERE包含一个13个碱基对的回文重复序列,由3个碱基间隔5 ' -GGTCAnnnTGACC-3 '分隔。除了共识型或野生型ERE (were)外,自然发生的ERE通常有一个或两个碱基对的交替。基于新建立的ChIP-seq热力学建模(TherMos)模型,模拟了ERβ与一系列34 bp突变体EREs (mutERE)之间的结合能,预测了ERβ与13 bp倒置序列不同位点单碱基对偏差的EREs之间的结合亲和力。实验上,建立了双偏振干涉法(DPI)来测量ERβ-mutEREs的结合亲和力。在生物素-中性生物素(NA)-生物素处理的DPI芯片上,固定化were。在直接结合试验中,确定了er β - were的结合亲和力。在竞争实验中,ERβ与突变体EREs预孵育,然后加入固定的were进行竞争结合。这种竞争策略为评估大量不同碱基突变的ERE之间的结合亲和力差异提供了一个成功的平台。实验结果与数学预测的结合能具有良好的相关性,Spearman相关系数为0.97。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining ERβ Binding Affinity to Singly Mutant ERE Using Dual Polarization Interferometry
In a classic mode of estrogen action, estrogen receptors (ERs) bind to estrogen responsive element (ERE) to activate gene transcription. A perfect ERE contains a 13-base pair sequence of a palindromic repeat separated by a three-base spacer, 5′-GGTCAnnnTGACC-3′. In addition to the consensus or wild-type ERE (wtERE), naturally occurring EREs often have one or two base pairs’ alternation. Based on the newly constructed Thermodynamic Modeling of ChIP-seq (TherMos) model, binding energy between ERβ and a series of 34-bp mutant EREs (mutERE) was simulated to predict the binding affinity between ERs and EREs with single base pair deviation at different sites of the 13-bp inverted sequence. Experimentally, dual polarization interferometry (DPI) method was developed to measure ERβ–mutEREs binding affinity. On a biotin-NeutrAvidin (NA)-biotin treated DPI chip, wtERE is immobilized. In a direct binding assay, ERβ–wtERE binding affinity is determined. In a competition assay, ERβ was preincubated with mutant EREs before being added for competitive binding to the immobilized wtERE. This competition strategy provided a successful platform to evaluate the binding affinity variation among large number of ERE with different base mutations. The experimental result correlates well with the mathematically predicted binding energy with a Spearman correlation coefficient of 0.97.
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来源期刊
Journal of Molecular and Engineering Materials
Journal of Molecular and Engineering Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
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