Optimized protocol for intracellular labeling of red blood cells with anti-hemoglobin F for confocal microscopy analysis

Other authors

Universitat Politècnica de Catalunya. Centre de Desenvolupament de Sensors, Instrumentació i Sistemes

Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria

Universitat Politècnica de Catalunya. GREO - Grup de Recerca en Enginyeria Òptica

Publication date

2025-12

Abstract

The combined use of immunolabeling and confocal microscopy offers a robust tool for the comprehensive examination of red blood cells, allowing clear visualization of specific proteins and their roles in the cell. While immunolabeling is a widely employed technique, it presents specific challenges in the study of red blood cells, including difficulties with membrane permeabilization, the appearance of background fluorescence, detection of very faint signals, interference from other blood components, and, notably, poor preservation resulting from an incorrect choice of fixation components. Adding to this, fresh blood samples are very labile and need to be preserved as soon as possible, ideally immediately after extraction. Addressing these challenges requires careful experimental design to ensure assay specificity and sensitivity, often complicated by incomplete or unclear information in the literature. In this study, we have compiled available bibliographic data regarding key aspects of red blood cell immunolabeling and devised a detailed immunostaining protocol to investigate the presence of Hemoglobin F in patients with sickle cell anemia treated with hydroxyurea. This protocol ensures proper preservation of red blood cell characteristics and may find application in immunolabeling with other intracellular antibodies


Peer Reviewed


Postprint (published version)

Document Type

Article

Language

English

Publisher

Elsevier

Related items

https://www.sciencedirect.com/science/article/pii/S0968432825001313

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112527RB-I00/ES/FOTONICA BIOMEDICA Y MACHINE LEARNING PARA EL DIAGNOSTICO Y TRATAMIENTO DE DISFUNCIONES OCULARES, DETERIORO COGNITIVO Y ENFERMEDADES HEMATOLOGICAS/

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Rights

http://creativecommons.org/licenses/by-nc-nd/4.0/

Open Access

Attribution-NonCommercial-NoDerivatives 4.0 International

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E-prints [72987]