Evidence map›Paper›PMID 39774187›Full record

ArticleScientific reports2025

Identification of new reference genes with stable expression patterns for cell cycle experiments in human leukemia cell lines.

Otília Tóth, Gergely Attila Rácz, Eszter Oláh, Máté Tóth, Edit Szabó, György Várady, Beáta G Vértessy, Nikolett Nagy

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

8 authors.

Otília TóthDepartment of Applied Biotechnology and Food Science, Faculty of Chemical Technology and Biotechnology, BME Budapest University of Technology and Economics, Budapest, Hungary. toth.otilia@ttk.hu.
Gergely Attila RáczInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
Eszter OláhInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
Máté TóthDepartment of Applied Biotechnology and Food Science, Faculty of Chemical Technology and Biotechnology, BME Budapest University of Technology and Economics, Budapest, Hungary.
Edit SzabóInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
György VáradyInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
Beáta G VértessyDepartment of Applied Biotechnology and Food Science, Faculty of Chemical Technology and Biotechnology, BME Budapest University of Technology and Economics, Budapest, Hungary. vertessy.beata@ttk.hu.
Nikolett NagyInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary. nagy.nikolett@ttk.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell cycle-dependent gene expression analysis is particularly important as numerous genes show tightly regulated expression patterns at different phases of the cell cycle. For cancer cells, analysis of cell cycle-related events is of paramount significance since tumorigenesis is characteristically coupled to cell cycle perturbations. RT-qPCR is a highly sensitive technique to investigate cell cycle-dependent transcriptional regulation. However, for reliable evaluation of qPCR data reference genes with stable mRNA expression are required. Although several studies investigating cell cycle-dependent gene expression employ frequently used reference genes, the suitability of these reference genes has not been thoroughly investigated so far. Moreover, such potential reference genes for cell cycle analysis have not been described in the literature. Therefore, we aimed to identify reference genes characterized with stable expression throughout the cell cycle in MOLT4 and U937 human leukemia cell lines synchronized with RO-3306 CDK1 inhibitor using RT-qPCR. Here we show that for cell cycle-dependent gene expression analysis the commonly used TBP is suitable, while the recently recognized reference genes SNW1 and CNOT4 are applicable in a cell line-dependent manner. We also suggest that proper selection of reference genes for each experimental condition is crucial for reliable normalization as these aspects can severely compromise conclusions.

Indexed as

Cell CycleLeukemiaCell Line, TumorGene Expression ProfilingGene Expression Regulation, LeukemicGene Expression Regulation, NeoplasticHumansReference Standards

Identifiers

PMID39774187
PMCPMC11707088

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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.