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

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.

Authors

Institutions

Publication Details

Journal
BIO-PROTOCOL
Published
2025-01-01
DOI
https://doi.org/10.21769/bioprotoc.5331
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jeremy C. Simpson, Margaritha M. Mysior
BIO-PROTOCOL
3D Printing in Biomedical Research
article

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

Jeremy C. Simpson, Margaritha M. Mysior
article en

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.

BIO-PROTOCOLVol. 15(1373)
University College Dublin (IE)
Zero hunger
Openalex Percentile: Top 89%
3D Printing in Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An Automated Imaging Method for Quantification of Changes to the Endomembrane System in Mammalian Spheroid Models — Jeremy C. Simpson, Margaritha M. Mysior · BIO-PROTOCOL (2025) | TGRS Research Map | TGRS