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Ultrastructural Study of Microphysiological Systems of the Tumor Microenvironment

Authors: Paula Guerrero‐López; Karinna Georgiana Pele; Mariano Barrado; Pilar Alamán‐Díez; José Manuel García‐Aznar; Elena García‐Gareta;

Ultrastructural Study of Microphysiological Systems of the Tumor Microenvironment

Abstract

The importance of studying the ultrastructure is underwritten by decades of research. Ultrastructural features help to understand pathological processes or inform disease diagnosis. However, ultrastructural studies in the promising cancer‐on‐a‐chip models are practically nonexistent because of the complexity of sample preparation for electron microscopy techniques, which is particularly aggravated with these miniaturized models. Our aim was to study ultrastructural features of microphysiological systems (MPS) of the tumor microenvironment consisting of 3D multicellular tumor structures that were grown in hydrogel‐based cancer‐on‐a‐chip models. To this end, we selected two different MPS from our lab as examples and devised a sample preparation technique for their observation under dual‐beam focused ion beam scanning electron microscopy (FIB‐SEM) and transmission electron microscopy (TEM). The proposed methodology allowed high‐resolution visualization of both external and internal organization of 3D multicellular tumor structures, including cell–matrix interactions, cell–cell junctions, spheroid–spheroid contacts, matrix deposition, and extracellular vesicle‐mediated intercellular communication. This study demonstrates the feasibility of using advanced electron microscopy techniques to observe ultrastructural features of miniaturized cancer models, thus revealing a new dimension in the use of these models to study tumor processes and find new therapeutic targets.

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Spain
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research