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Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids
Three-dimensional cell spheroid models can be used to predict the effect of drugs and therapeutics and to model tissue development and regeneration. The utility of these models is enhanced by high throughput 3D spheroid culture technologies allowing researchers to efficiently culture numerous sphero...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841729/ https://www.ncbi.nlm.nih.gov/pubmed/31705048 http://dx.doi.org/10.1038/s41598-019-52007-w |
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author | Gabriel, Jonathan Brennan, David Elisseeff, Jennifer H. Beachley, Vince |
author_facet | Gabriel, Jonathan Brennan, David Elisseeff, Jennifer H. Beachley, Vince |
author_sort | Gabriel, Jonathan |
collection | PubMed |
description | Three-dimensional cell spheroid models can be used to predict the effect of drugs and therapeutics and to model tissue development and regeneration. The utility of these models is enhanced by high throughput 3D spheroid culture technologies allowing researchers to efficiently culture numerous spheroids under varied experimental conditions. Detailed analysis of high throughput spheroid culture is much less efficient and generally limited to narrow outputs, such as metabolic viability. We describe a microarray approach that makes traditional histological embedding/sectioning/staining feasible for large 3D cell spheroid sample sets. Detailed methodology to apply this technology is provided. Analysis of the technique validates the potential for efficient histological analysis of up to 96 spheroids in parallel. By integrating high throughput 3D spheroid culture technologies with advanced immunohistochemical techniques, this approach will allow researchers to efficiently probe expression of multiple biomarkers with spatial localization within 3D structures. Quantitative comparison of staining will have improved inter- and intra-experimental reproducibility as multiple samples are collectively processed, stained, and imaged on a single slide. |
format | Online Article Text |
id | pubmed-6841729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68417292019-11-14 Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids Gabriel, Jonathan Brennan, David Elisseeff, Jennifer H. Beachley, Vince Sci Rep Article Three-dimensional cell spheroid models can be used to predict the effect of drugs and therapeutics and to model tissue development and regeneration. The utility of these models is enhanced by high throughput 3D spheroid culture technologies allowing researchers to efficiently culture numerous spheroids under varied experimental conditions. Detailed analysis of high throughput spheroid culture is much less efficient and generally limited to narrow outputs, such as metabolic viability. We describe a microarray approach that makes traditional histological embedding/sectioning/staining feasible for large 3D cell spheroid sample sets. Detailed methodology to apply this technology is provided. Analysis of the technique validates the potential for efficient histological analysis of up to 96 spheroids in parallel. By integrating high throughput 3D spheroid culture technologies with advanced immunohistochemical techniques, this approach will allow researchers to efficiently probe expression of multiple biomarkers with spatial localization within 3D structures. Quantitative comparison of staining will have improved inter- and intra-experimental reproducibility as multiple samples are collectively processed, stained, and imaged on a single slide. Nature Publishing Group UK 2019-11-08 /pmc/articles/PMC6841729/ /pubmed/31705048 http://dx.doi.org/10.1038/s41598-019-52007-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gabriel, Jonathan Brennan, David Elisseeff, Jennifer H. Beachley, Vince Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids |
title | Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids |
title_full | Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids |
title_fullStr | Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids |
title_full_unstemmed | Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids |
title_short | Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids |
title_sort | microarray embedding/sectioning for parallel analysis of 3d cell spheroids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841729/ https://www.ncbi.nlm.nih.gov/pubmed/31705048 http://dx.doi.org/10.1038/s41598-019-52007-w |
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