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Discovery and Characterization of an ALFA-Tag-Specific Affinity Resin Optimized for Protein Purification at Low Temperatures in Physiological Buffer

机译:在生理缓冲液中低温下优化的Alfa标签特异性亲和树脂的发现和表征优化了蛋白质纯化

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摘要

Epitope tags are widely employed as tools to detect, purify and manipulate proteins in various experimental systems. We recently introduced the ALFA-tag together with two ALFA-specific single-domain antibodies (sdAbs), NbALFA and NbALFAPE, featuring high or intermediate affinity, respectively. Together, the ALFA system can be employed for a broad range of applications in microscopy, cell biology and biochemistry requiring either extraordinarily stable binding or mild competitive elution at room temperature. In order to further enhance the versatility of the ALFA system, we, here, aimed at developing an sdAb optimized for efficient elution at low temperatures. To achieve this, we followed a stringent selection scheme tailored to the specific application. We found candidates combining a fast capture of ALFA-tagged proteins with an efficient competitive elution at 4 °C in physiological buffer. Importantly, by employing a structure-guided semisynthetic library based on well-characterized NbALFA variants, the high specificity and consistent binding of proteins harboring ALFA-tags at either terminus could be maintained. ALFA SelectorCE, a resin presenting the cold-elutable NbALFACE, is an ideal tool for the one-step purification of sensitive protein complexes or temperature-labile enzymes. We believe that the general approach followed during the selection and screening can be transferred to other challenging sdAb discovery projects.
机译:表位标签被广泛用作检测,纯化和操纵各种实验系统中蛋白质的工具。我们最近将Alfa标签与两种Alfa特异性单域抗体(Sdabs),Nbalfa和Nbalfape一起引入,分别具有高或中间亲和性。在一起,ALFA系统可用于广视范围的显微镜,细胞生物学和生物化学中的应用,需要在室温下非常稳定的结合或轻度竞争洗脱。为了进一步提高ALFA系统的多功能性,我们在这里,我们旨在开发SDAB优化,以便在低温下进行高效洗脱。为此,我们遵循针对特定应用程序量身定制的严格选择方案。我们发现候选者在4℃下在生理缓冲液中结合快速捕获Alfa标记的蛋白质,在4℃下具有有效的竞争洗脱。重要的是,通过使用基于良好特征的NBALFA变体的结构引导的半合成文库,可以保持含有末端的蛋白质的蛋白质的高特异性和一致结合。 Alfa Selectorce是一种呈现冷可燃NbAlface的树脂,是敏感蛋白质复合物或温度稳定酶的一步纯化的理想工具。我们认为,在选择和筛查期间,我们的一般方法可以转移到其他具有挑战性的SDAB发现项目。

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