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Assessing the reproducibility of labelled antibody binding in quantitative multiplexed immuno-mass spectrometry imaging
Author(s) -
Monique G. Mello,
Mika T. Westerhausen,
Prashina Singh,
Philip Doble,
Jonathan Wanagat,
David Bishop
Publication year - 2021
Publication title -
analytical and bioanalytical chemistry/analytical and bioanalytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.86
H-Index - 166
eISSN - 1618-2650
pISSN - 1618-2642
DOI - 10.1007/s00216-021-03536-9
Subject(s) - chemistry , epitope , mass spectrometry , antibody , immunoassay , reproducibility , analyte , chromatography , biology , immunology
Immuno-mass spectrometry imaging (iMSI) uses laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to determine the spatial expression of biomolecules in tissue sections following immunolabelling with antibodies conjugated to a metal reporter. As with all immunolabelling techniques, the binding efficiency of multiplexed staining can be affected by a number of factors including epitope blocking and other forms of steric hindrance. To date, the effects on the binding of metal-conjugated antibodies to their epitopes in a multiplexed analysis have yet to be quantitatively explored by iMSI. Here we describe a protocol to investigate the effects of multiplexing on reproducible binding using the muscle proteins, dystrophin, sarcospan, and myosin as a model, with antibodies conjugated with Maxpar® reagents before histological application to murine quadriceps sections using standard immunolabelling protocols and imaging with LA-ICP-MS. The antibodies were each individually applied to eight sections, and multiplexed to another eight sections. The average concentrations of the lanthanide analytes were determined, before statistical analyses found there was no significant difference between the individual and multiplexed application of the antibodies. These analyses provide a framework for ensuring reproducibility of antibody binding during multiplexed iMSI, which will allow quantitative exploration of protein-protein interactions and provide a greater understanding of fundamental biological processes during healthy and diseased states.

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