Evidence map›Paper›PMID 40726176›Full record

ArticleAnalytical chemistry2025

Sensitive Detection and Identification Method of Erythrocyte-like Cells upon Doxorubicin Induced Differentiation with Vibrational Techniques.

Adriana Adamczyk, William Tipping, Olga Mazuryk, Duncan Graham, Malgorzata Baranska, Katarzyna Majzner

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Adriana AdamczykJagiellonian University, Faculty of Chemistry, Gronostajowa 2, Krakow 30-387, Poland.ORCID 0000-0003-3303-0970
William TippingDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, U.K.ORCID 0000-0003-4273-2691
Olga MazurykJagiellonian University, Faculty of Chemistry, Gronostajowa 2, Krakow 30-387, Poland.ORCID 0000-0001-6973-3614
Duncan GrahamDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, U.K.ORCID 0000-0002-6079-2105
Malgorzata BaranskaJagiellonian University, Faculty of Chemistry, Gronostajowa 2, Krakow 30-387, Poland.ORCID 0000-0001-8826-3144
Katarzyna MajznerJagiellonian University, Faculty of Chemistry, Gronostajowa 2, Krakow 30-387, Poland.ORCID 0000-0001-9803-883X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cell DifferentiationDoxorubicinErythrocytesSpectrum Analysis, RamanHumansMachine LearningPrincipal Component AnalysisDoxorubicin

Identifiers

PMID40726176
PMCPMC12355469

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.