category
NAR
date
Feb 18, 2026
slug
status
Published
summary
创新点包括:1) 开发无需仪器的快速检测方法(15分钟完成);2) 利用GFP标记蛋白和横向流动检测原理;3) 具备高灵敏度(0.7 fmol检测限);4) 能区分结合亲和力差异;5) 适用于复杂样本(人血清/细菌裂解液);6) 兼容生物素污染样本;7) 可用于复制起点定位分析。
tags
蛋白质组学
核酸蛋白工具酶
type
Post

📄 原文题目

A rapid test for protein–DNA interactions

🔗 原文链接

💡 AI 核心解读

创新点包括:1) 开发无需仪器的快速检测方法(15分钟完成);2) 利用GFP标记蛋白和横向流动检测原理;3) 具备高灵敏度(0.7 fmol检测限);4) 能区分结合亲和力差异;5) 适用于复杂样本(人血清/细菌裂解液);6) 兼容生物素污染样本;7) 可用于复制起点定位分析。

📝 英文原版摘要

<span class="paragraphSection"><div class="boxTitle">Abstract</div>The characterization of protein–DNA interactions underpinning fundamental biological processes requires methods that are laborious and time-consuming. Here, we introduce a rapid and instrument-free assay leveraging on GFP-tagged proteins and the lateral flow assay principle to examine protein–DNA interactions. The rapid protein–DNA interaction test (R-PNAI-T) detects complexes using a dipstick in ∼15 min. Validation of the R-PNAI-T with bacterial proteins involved in replication and transcription demonstrated its applicability for diverse protein–DNA interactions, achieving a remarkable detection sensitivity of ∼0.7 fmol with the <span style="font-style: italic;">Escherichia coli</span> Tus protein. Analysis of these protein interactions with their specific target DNA sequences highlighted the capability of the R-PNAI-T to discern subtle differences in affinity, providing valuable comparative data. The R-PNAI-T is robust, retaining functionality in human serum and bacterial lysates. The assay showed tolerance towards biotin contaminants, expanding its use for quality control in protein purification processes and tracking complexes in biological samples. To demonstrate versatility, we applied the R-PNAI-T with polymerase chain reaction-amplified DNA to probe the putative origin of replication in <span style="font-style: italic;">Burkholderia pseudomallei</span>, confirming a functional interaction between the DnaA initiator protein and the DnaA box in this bacterium. Overall, the R-PNAI-T is versatile, cost-effective, and user-friendly, offering broad applications in biological research and biotechnology.</span>
从RNA-seq数据中改进转录本和编码序列的重建TORCphysics:一种基于DNA拓扑结构调控基因表达的物理模型
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