Evidence map›Paper›PMID 40511411›Full record

ArticleBio-protocol2025

An Automated Imaging Method for Quantification of Changes to the Endomembrane System in Mammalian Spheroid Models.

Margaritha M Mysior, Jeremy C Simpson

Abstract read
In one paragraph

Article in Bio-protocol, 2025. 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

2 authors.

Margaritha M MysiorCell Screening Laboratory, School of Biology and Environmental Science, O'Brien Centre for Science, University College Dublin, Dublin, Ireland.
Jeremy C SimpsonCell Screening Laboratory, School of Biology and Environmental Science, O'Brien Centre for Science, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional cell models, such as spheroids, represent a more physiological arrangement in which cells can grow, allowing them to develop cell-cell interactions in all dimensions. The most common methods for growing spheroids are scaffold-based, typically using either extracellular matrix or hydrogels as a physical support for the cellular assembly. One key problem with this approach is that the spheroids that are produced can be highly variable in size and shape. The protocol presented here allows for the systematic production of uniform spheroids in a short time frame by utilising a micropatterned plate. We show that spheroids can be used to investigate fundamental research questions, such as how the endomembrane system is organised in cells. Our protocol can be used in a manual or automated manner, potentially allowing scaling up for screening applications. Furthermore, without the complication of removing the spheroids from the extracellular matrix or hydrogel, as would be required in scaffold-based systems, spheroids can easily be used in other downstream applications. Key features • This work builds upon the method developed by Monjaret et al. [1] and establishes a robust method to produce spheroids from HeLa Kyoto cells. • This protocol generates consistent populations of spheroids that can be used to investigate organelle biology and membrane trafficking pathways. • Entire spheroids can be analysed in a volumetric manner. • This method can be used in both manual and automated pipelines, thereby facilitating use in high-throughput and high-content screens.

Indexed as

3D cell cultureFluorescence microscopyHigh-content screeningMembrane traffickingRabsSpheroids

Identifiers

PMID40511411
PMCPMC12152110

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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.