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针对免疫荧光检测的表位标签抗体的定量比较。

A quantitative comparison of antibodies against epitope tags for immunofluorescence detection.

机构信息

Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Switzerland.

出版信息

FEBS Open Bio. 2023 Dec;13(12):2239-2245. doi: 10.1002/2211-5463.13705. Epub 2023 Nov 3.

Abstract

Epitope tags recognized by specific antibodies have been widely used over the last few decades, notably to localize tagged proteins within cells by immunofluorescence. The diversity of tags and antibodies usually prevents a side-by-side comparison of the efficiency with which each antibody recognizes its cognate tag. We expressed chimeric proteins, each composed of an invariant domain (IL2Ra) associated with a specific epitope tag. Double immunofluorescence allowed us to quantify in parallel the reference signal generated by the anti-IL2Ra antibody and the signal generated by the anti-epitope tag antibody. Since all antibodies used in this study were recombinant antibodies fused to the same mouse Fc domain, the generated signals were directly comparable. Three groups of tags/antibodies were revealed: 'good' antibodies generated high signals even when used at a low concentration (50 ng·mL ), 'fair' antibodies generated a high signal only at high concentrations (5000 ng·mL ), and 'mediocre' antibodies generated positive but weak signals. Except for an anti-myc antibody, similar results were obtained when cells were fixed in paraformaldehyde or methanol. These results provide a side-by-side quantitative evaluation of different tag/antibody pairs. This information will be useful to optimize the choice of epitope tags and to choose optimal antibodies.

摘要

过去几十年来,表位标签被广泛用于识别特定抗体,尤其是通过免疫荧光技术将标记蛋白定位在细胞内。标签和抗体的多样性通常使得无法并排比较每种抗体识别其同源表位标签的效率。我们表达了嵌合蛋白,每个蛋白都由与特定表位标签相关联的不变结构域(IL2Ra)组成。双重免疫荧光允许我们同时定量分析抗-IL2Ra 抗体产生的参考信号和抗表位标签抗体产生的信号。由于本研究中使用的所有抗体都是与相同的小鼠 Fc 结构域融合的重组抗体,因此产生的信号可以直接比较。结果揭示了三组标签/抗体:“良好”的抗体即使在低浓度(50ng·mL)下也能产生高信号,“一般”的抗体仅在高浓度(5000ng·mL)下产生高信号,而“中等”的抗体产生阳性但较弱的信号。除了抗 myc 抗体外,当细胞用多聚甲醛或甲醇固定时,也获得了类似的结果。这些结果提供了不同标签/抗体对的并排定量评估。这些信息将有助于优化表位标签的选择,并选择最佳的抗体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87ca/10699100/68a4e3101e25/FEB4-13-2239-g004.jpg

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