Work

Computational epitope heterogeneity analysis in immunostainings from antibody-dilution series

Year: 2026

Type: article

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.

Source: Communications Biology

DOI: 10.1038/s42003-026-09517-x

Authors: Dominik Tschimmel, Momina Saeed, Maria Milani, Steffen Waldherr, Tim Hucho

Institutions: University of Cologne, University Hospital Cologne, University of Vienna

Language: English

Topic: Monoclonal and Polyclonal Antibodies Research

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $4,190

Funder: Deutsche Forschungsgemeinschaft