Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses

Author:

Micheva Kristina D.,Gong Belvin,Collman Forrest,Weinberg Richard J.,Smith Stephen J.ORCID,Trimmer James S.ORCID,Murray Karl D.

Abstract

AbstractAntibody (Ab)-based imaging techniques rely on reagents whose performance may be application specific. Because commercial antibodies are validated for only a few purposes, users interested in other applications may have to perform extensive in-house antibody testing. Here, we present a novel application-specific proxy screening step to efficiently identify candidate antibodies for array tomography (AT), a serial section volume microscopy technique for high-dimensional quantitative analysis of the cellular proteome. To identify antibodies suitable for AT-based analysis of synapses in mammalian brain, we introduce a heterologous cell-based assay that simulates characteristic features of AT, such as chemical fixation and resin embedding that are likely to influence antibody binding. The assay was included into an initial screening strategy to generate monoclonal antibodies that can be used for AT. This approach simplifies the screening of candidate antibodies and has high predictive value for identifying antibodies suitable for AT analyses. In addition, we have created a comprehensive database of AT-validated antibodies with a neuroscience focus and show that these antibodies have a high likelihood of success for postembedding applications in general, including immunogold electron microscopy. The generation of a large and growing toolbox of AT-compatible antibodies will further enhance the value of this imaging technique.

Funder

NIH

Publisher

Society for Neuroscience

Subject

General Medicine,General Neuroscience

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence;International Journal of Molecular Sciences;2024-04-11

2. Array tomography: trails to discovery;Methods in Microscopy;2024-04-01

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