工具箱
底漆(化妆品)
计算生物学
克隆(编程)
载体(分子生物学)
表达式向量
计算机科学
支持向量机
亚细胞定位
生物
多克隆站点
克隆(Java方法)
蛋白质亚细胞定位预测
分子克隆
表达式(计算机科学)
靶蛋白
过程(计算)
蛋白质表达
生物信息学
人工智能
作者
Cailin Luo,Lihaitian Wang,Yuqin Wu,Jun Cai,Peng Bin,Jia Chen,Feng Yu,Dousheng Wu
摘要
Understanding protein-protein interactions (PPIs) is crucial for elucidating the molecular mechanisms underlying plant growth, development, and stress responses. While techniques for analyzing PPIs have been well developed, validating a PPI typically requires a combination of four to five techniques. For each technique, specific primers are designed to clone the gene of interest (GOI) into a given vector. As a result, validating a PPI requires the synthesis of four to five primer pairs, making the process both complex and costly. To overcome these limitations, we have optimized and functionally validated an In-Fusion-based vector toolbox for the flexible construction of PPI vectors in plants. The standardized toolbox facilitates the cloning of a GOI into different PPI vectors using only one primer pair. Furthermore, we extended one of the standardized vectors for protein expression and localization studies. With the same primer pair, a GOI can be easily cloned into vectors with different tags or fluorophores. Our optimized vector toolbox will significantly simplify the assembly of PPI vectors as well as other plant expression vectors for subcellular localization and protein expression.
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