Computational epitope heterogeneity analysis in immunostainings from antibody-dilution series

Antibodies are widely used in life sciences and medical therapy. Broadly applicable methods to determine epitope heterogeneity in immunostaining systems are missing. Here, we present a simple-to-use approach to characterize and quantify antibody binding properties that constitute the staining directly in the system of choice. We determine an epitope heterogeneity on the basis of a computational analysis of antibody-dilution immunofluorescence stainings. This allows us to choose signal-specificity maximizing dilutions and to improve signal quantification. Furthermore, the computational analysis provides approaches to obtain a single-channel antibody multiplexing. Our approach could help improving immunostainings in many laboratories by guiding the choice of antibody dilution, by increasing the possibility of antibody-multiplexing in the same color-channel and by allowing for the analysis of binding targets of multi-specific antibodies.

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Publication Details

Journal
Communications Biology
Published
2026-02-02
DOI
https://doi.org/10.1038/s42003-026-09517-x
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
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article

Computational epitope heterogeneity analysis in immunostainings from antibody-dilution series

Dominik Tschimmel, Steffen Waldherr, Tim Hucho, Momina Saeed et al.
Communications Biology
Monoclonal and Polyclonal Antibodies Research
article

Computational epitope heterogeneity analysis in immunostainings from antibody-dilution series

Dominik Tschimmel, Steffen Waldherr, Tim Hucho, Momina Saeed, Maria Milani
article en

Abstract

Antibodies are widely used in life sciences and medical therapy. Broadly applicable methods to determine epitope heterogeneity in immunostaining systems are missing. Here, we present a simple-to-use approach to characterize and quantify antibody binding properties that constitute the staining directly in the system of choice. We determine an epitope heterogeneity on the basis of a computational analysis of antibody-dilution immunofluorescence stainings. This allows us to choose signal-specificity maximizing dilutions and to improve signal quantification. Furthermore, the computational analysis provides approaches to obtain a single-channel antibody multiplexing. Our approach could help improving immunostainings in many laboratories by guiding the choice of antibody dilution, by increasing the possibility of antibody-multiplexing in the same color-channel and by allowing for the analysis of binding targets of multi-specific antibodies.

Communications BiologyVol. 9(1)
University of Vienna (AT), University of Cologne (DE), University Hospital Cologne (DE)
Responsible consumption and production
Openalex Percentile: Top 70%
Monoclonal and Polyclonal Antibodies Research
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