Sensitive detection and identification method of erythrocyte-like cells upon doxorubicin induced differentiation with vibrational techniques

Adamczyk, Adriana and Tipping, William and Mazuryk, Olga and Graham, Duncan and Baranska, Malgorzata and Majzner, Katarzyna (2025) Sensitive detection and identification method of erythrocyte-like cells upon doxorubicin induced differentiation with vibrational techniques. Analytical Chemistry, 97 (31). pp. 16966-16974. ISSN 0003-2700 (https://doi.org/10.1021/acs.analchem.5c02465)

[thumbnail of Adamczyk-etal-AC-2025-Sensitive-detection-and-identification-method-of-erythrocyte-like-cells-upon-doxorubicin]
Preview
Text. Filename: Adamczyk-etal-AC-2025-Sensitive-detection-and-identification-method-of-erythrocyte-like-cells-upon-doxorubicin.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (6MB)| Preview

Abstract

Altered differentiation of blood cell precursors and their clonal expansion occurs in various types of leukemia. One treatment strategy is to induce differentiation into the mature form, which is capable of undergoing apoptosis. It has been found that low doses of doxorubicin (DOX) induce phenotypic and morphological changes in malignant erythroid precursors to erythrocyte-like cells. These are usually studied by time-consuming examination of hemoglobinisation by benzidine staining or glycophorin A expression by Western blot or flow cytometry. As an alternative, we propose an in-depth investigation of DOX-induced erythroid differentiation using Raman spectroscopy and stimulated Raman scattering microscopy, and fast and sensitive classification using the probe for mitochondrial imaging (MitoBADY). Machine learning methods, including Orthogonal Partial Least Squares, Principal Component Analysis, and Multivariate Curve Resolution-Alternating Least Squares, etc., were implemented to extract spectroscopic markers of differentiation from both single spectra and the hyperspectral images.

ORCID iDs

Adamczyk, Adriana, Tipping, William ORCID logoORCID: https://orcid.org/0000-0003-4273-2691, Mazuryk, Olga, Graham, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6079-2105, Baranska, Malgorzata and Majzner, Katarzyna;