Quantitative Expansion Microscopy for In Situ Estimation of Endogenous Target Abundance

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Authors: Matthew Domenic Lycas, Juan C. Landoni, Benedetta Noferi, Christian E. Zimmerli, Kyle M. Douglass, Suliana Manley
Cited by: 1
References: 57

Abstract

Abstract Spatially mapping protein abundance in situ can offer important insights into molecular mechanisms and the physiological functions of protein complexes. This is typically achieved by combining super-resolution microscopy to image fluorescently-labeled protein locations with statistical estimators to retrieve abundances, where accuracy is strongly impacted by labeling efficiency. We introduce quantitative expansion microscopy (qExM) as a method to estimate endogenous protein abundance on ExM data, which offers improved antibody targeting through molecular decrowding. Using cryo-fixation, we preserved ultrastructure and enhanced labeling efficiency to improve accuracy in abundance estimations. We benchmark the effectiveness of qExM by quantifying the stoichiometry of well-characterized nuclear pore complex subunits, and find a mean percent error of 9.4%. We further apply qExM to investigate the abundance of mitochondrial respiratory chain complexes in functionally distinct organelle subpopulations, and of mitochondrial respiratory chain super-complexes in differentially activated human T-cells. qExM provides a robust methodological framework for quantifying endogenous protein abundance in expanded samples in situ .

Fields of Study & Subjects

Advanced Fluorescence Microscopy Techniques Cell Image Analysis Techniques Single-cell and spatial transcriptomics

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
20 January 2026
Language
EN
Document type
Preprint