A toolbox of IgG subclass-switched recombinant monoclonal antibodies for enhanced multiplex immunolabeling of brain

用于增强脑组织多重免疫标记的IgG亚类转换重组单克隆抗体工具箱

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作者:Nicolas P Andrews ,Justin X Boeckman ,Colleen F Manning ,Joe T Nguyen ,Hannah Bechtold ,Camelia Dumitras ,Belvin Gong ,Kimberly Nguyen ,Deborah van der List ,Karl D Murray ,JoAnne Engebrecht ,James S Trimmer

Abstract

Generating recombinant monoclonal antibodies (R-mAbs) from mAb-producing hybridomas offers numerous advantages that increase the effectiveness, reproducibility, and transparent reporting of research. We report here the generation of a novel resource in the form of a library of recombinant R-mAbs validated for neuroscience research. We cloned immunoglobulin G (IgG) variable domains from cryopreserved hybridoma cells and input them into an integrated pipeline for expression and validation of functional R-mAbs. To improve efficiency over standard protocols, we eliminated aberrant Sp2/0-Ag14 hybridoma-derived variable light transcripts using restriction enzyme treatment. Further, we engineered a plasmid backbone that allows for switching of the IgG subclasses without altering target binding specificity to generate R-mAbs useful in simultaneous multiplex labeling experiments not previously possible. The method was also employed to rescue IgG variable sequences and generate functional R-mAbs from a non-viable cryopreserved hybridoma. All R-mAb sequences and plasmids will be archived and disseminated from open source suppliers. Keywords: antibodies; brain; immunohistochemistry; mouse; neuroscience; rat.

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