Evidence map›Paper›PMID 41958833›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Quantifying single-cell responses to irradiation in 3D.

Joshua François, Alina Simerzin, Ashwini Jambhekar, Galit Lahav

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

4 authors.

Joshua FrançoisDepartment of Systems Biology, Blavantik Institute, Harvard Medical School, Boston, MA, United States.
Alina SimerzinDepartment of Systems Biology, Blavantik Institute, Harvard Medical School, Boston, MA, United States.
Ashwini JambhekarDepartment of Systems Biology, Blavantik Institute, Harvard Medical School, Boston, MA, United States.
Galit LahavDepartment of Systems Biology, Blavantik Institute, Harvard Medical School, Boston, MA, United States.

Funding

Dynamics, Regulation and Function of p53 in Single CellsR35GM139572 · NIGMS · HARVARD MEDICAL SCHOOL · PI Galit Lahav · 2021 to 2026
$4.7M
NIGMS NIH HHS R35 GM139572
6 · The paper itself

Abstract

Introduction: Understanding how cells respond to internal and external inputs requires investigating cells within three-dimensional (3D) environments, which better mimic physiological conditions. Compared to two-dimensional (2D) systems, 3D cultures more accurately simulate tissue architecture, including cell-cell and cell-extracellular matrix interactions, as well as gradients of oxygen and nutrients. Despite these advantages, quantifying signaling dynamics in 3D remains difficult due to limitations in imaging depth, phototoxicity, and computational analysis. Methods: We developed experimental and computational tools for tracking individual cells' responses in 3D. We focused on the response of human breast cancer cells to irradiation using a cell line that expresses a fluorescent reporter for the cell cycle regulator p21, which is activated by the tumor suppressor p53 after irradiation. We embedded individual cells and multicellular spheroids in a dual-Matrigel assay and used light sheet fluorescence microscopy (LSFM) to obtain high-resolution images at several time points post-irradiation. We then developed computational pipelines to obtain detailed reconstructions and quantitative analyses of p21 dynamics. Results: Individual dispersed cells exhibited a gradual, monotonic increase in the fraction of p21-positive cells, with the majority of cells becoming positive 24 h after irradiation. When applied to spheroids, the same system captured a transient decrease in the fraction of p21-positive cells post-irradiation, followed by a delayed pronounced rise only at 24 h. In addition, while the fraction of p21-positive cells increased in both systems, p21 intensity within induced cells remained relatively constant. This behavior is consistent with studies in 2D cultures showing that irradiation induces p53 oscillations, with each p53 pulse regulating the probability, rather than the magnitude, of p21 transcription. Notably, spatial mapping of annotated nuclei showed no dependence between p21 levels and radial cell position within spheroids. Comparisons between 2D, 3D single-cell, and spheroid data indicate that while the overall extent of p21 activation is similar across systems, the kinetics differ, with spheroids exhibiting slower induction. Discussion: The differences in features such as p21 induction kinetics observed in spheroids compared to 2D and 3D single-cell cultures post-irradiation likely reflect p21 signaling specific to cells in 3D configurations with cell-extracellular matrix constraints. Overall, the platform developed in this study provides a powerful framework to dissect heterogeneous signaling dynamics in physiologically relevant 3D contexts and can be extended to assess the effects of drug treatments on other complex multicellular structures.

Indexed as

3Dimagingmatrigel assaymicroscopyp21 (CDKN1A)spheroids

Identifiers

PMID41958833
PMCPMC13057534

What Socratic holds

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LicenceCC BY
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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 Socratic graph.