Evidence map›Paper›PMID 41658855›Full record

ArticleBiochemistry and biophysics reports2026

A workflow for quantifying cell quiescence in 3D spheroids.

Maria Rita Assenza, Federica Barbagallo, Fabiola Moretti

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Maria Rita AssenzaInnate Lymphoid Cells Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, 00146, Italy.
Federica BarbagalloDepartment of Medicine and Surgery, "Kore" University of Enna, Enna, 94100, Italy.
Fabiola MorettiInstitute of Biochemistry and Cell Biology, National Research Council of Italy, Monterotondo, Rome, 00015, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quiescence is a reversible, tightly regulated state in which cells exit the cell cycle while retaining the potential to re-enter proliferation upon an appropriate stimulus. In solid tumors, quiescent cancer cells are thought to contribute to therapy resistance and disease relapse, especially in poorly vascularized regions. Detecting these dormant cells could be key to predicting therapeutic outcomes and personalizing treatment. To assess the metabolic state of individual cells, we developed a fluorescence-based method using acridine orange (AO) staining, paired with algorithm-driven quantification. By measuring AO-RNA and AO-DNA signals, we distinguished metabolic differences in 3D non-small cell lung cancer spheroids. The RNA/DNA staining ratio correlated with transcriptional activity, validating this approach as a reliable readout of cell state. This method provides a powerful tool to uncover hidden pockets of drug-resistant, quiescent cancer cells in 3D culture.

Indexed as

Acridine orangeCellProfilerCell quiescenceSpheroids

Identifiers

PMID41658855
PMCPMC12874446

What OpenQuestion holds

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Registered trials

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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.