Skip to main content
. 2020 Aug 27;69(6):460–468. doi: 10.2144/btn-2020-0095

Table 1. . Steps of antibody validation for immunohistochemistry, integrating some of the pillars from Uhlen et al.

Steps of antibody validation Summary Common pitfalls Significance
Step 1.
Architectural or subcellular localization of expression
Illustration of the expected biologic localization of signal for the target of interest
Includes tissue type, histologic subtype, cellular and subcellular compartments
Nonspecific staining patterns due to suboptimal antibody concentration Provides early proof of antibody specificity
Justifies further validation efforts
Step 2.
Antibody optimization
Optimization of assay conditions
Includes optimization of antigen retrieval buffer, antibody concentration and incubation conditions
Proper assay conditions often not indicated by the vendor Ensures that all subsequent validation steps will be conducted under optimal assay conditions
Step 3. Uhlen pillar 2
Orthogonal methods of validation
and/or
Utilization of independent methods to prove antibody specificity.
Includes western blot, mass spectrometry etc.
Positive band in a western blot for nonspecific antibodies; multiple bands in a western blot for specific antibodies Provides additional proof of antibody specificity by one or more independent methods
Step 3. Uhlen pillar 1
Genetic methods of validation
and/or
Genetic manipulation of the expression of the target of interest to generate positive and/or negative controls Overexpression or underexpression of the target of interest in wild-type cell lines Links the genetic basis of the target of interest with the corresponding protein product
Step 3. Uhlen pillar 3
Independent epitope validation
Correlation of multiple antibodies with nonoverlapping epitopes for the target of interest Identification of a second antibody for the target of interest Provides substantial proof for the specificity of both antibodies
Step 4.
Antibody reproducibility
Demonstration of antibody sensitivity and specificity across different runs, operators, manual vs automated staining methods and lots Inherent heterogeneity of the target of interest; vendor lot variability Proves that assay is robust and ready to use