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Specificity Controls for Immunocytochemistry

The Antigen Preadsorption Test Can Lead to Inaccurate Assessment of Antibody Specificity
Authors: Silvia Holmseth; Niels C. Danbolt; Niels C. Danbolt; Yun Zhou; Yun Zhou; Dwight E. Bergles; Dwight E. Bergles; +4 Authors
Abstract

The biomedical research community relies directly or indirectly on immunocytochemical data. Unfortunately, validation of labeling specificity is difficult. A common specificity test is the preadsorption test. This test was intended for testing crude antisera but is now frequently used to validate monoclonal and affinity purified polyclonal antibodies. Here, the authors assess the power of this test. Nine affinity purified antibodies to different epitopes on 3 proteins (EAAT3, slc1a1; EAAT2, slc1a2; BGT1, slc6a12) were tested on samples (tissue sections and Western blots with or without fixation). The selected antibodies displayed some degree of cross-reactivity as defined by labeling of samples from knockout mice. The authors show that antigen preadsorption blocked all labeling of both wild-type and knockout samples, implying that preadsorption also blocked binding to cross-reactive epitopes. They show how this can give an illusion of specificity and illustrate sensitivity-specificity relationships, the importance of good negative controls, that fixation can create new epitopes, and that cross-reacting epitopes present in sections may not be present on Western blots and vice versa. In conclusion, they argue against uncritical use of the preadsorption test and, in doing so, address a number of other issues related to immunocytochemistry specificity testing.

Keywords

Mice, Knockout, GABA Plasma Membrane Transport Proteins, Immune Sera, Blotting, Western, Antibody Affinity, Cross Reactions, Immunohistochemistry, Sensitivity and Specificity, Antibodies, Rats, Epitopes, Mice, Excitatory Amino Acid Transporter 3, Excitatory Amino Acid Transporter 2, Antibody Specificity, Animals, Adsorption, Antigens, Rats, Wistar, Artifacts

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    82
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
82
Top 10%
Top 10%
Top 1%
bronze