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High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins
Understanding how cancer cells interact with the surrounding microenvironment early in breast cancer development can provide insight into the initiation and progression of invasive breast cancers. The myoepithelial cell layer surrounding breast ducts acts as a physical barrier in early breast cancer...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163786/ https://www.ncbi.nlm.nih.gov/pubmed/34050191 http://dx.doi.org/10.1038/s41597-021-00924-9 |
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author | Duivenvoorden, Hendrika M. Brockwell, Natasha K. Nowell, Cameron J. Simpson, Kaylene J. Parker, Belinda S. |
author_facet | Duivenvoorden, Hendrika M. Brockwell, Natasha K. Nowell, Cameron J. Simpson, Kaylene J. Parker, Belinda S. |
author_sort | Duivenvoorden, Hendrika M. |
collection | PubMed |
description | Understanding how cancer cells interact with the surrounding microenvironment early in breast cancer development can provide insight into the initiation and progression of invasive breast cancers. The myoepithelial cell layer surrounding breast ducts acts as a physical barrier in early breast cancer, preventing cancer cells from invading the surrounding stroma. Changes to the expression profile and properties of myoepithelial cells have been implicated in progression to invasive carcinoma. Identifying the molecular drivers of myoepithelial cell-mediated tumour suppression may offer new approaches to predict and block the earliest stages of cancer invasion. We employed a high-content approach to knock down 87 different genes using siRNA in an immortalised myoepithelial cell line, prior to co-culture with invasive breast cancer cells in 3D. Combined with high-content imaging and a customised analysis pipeline, this system was used to identify myoepithelial proteins that are necessary to control cancer cell invasion. This dataset has identified prospective myoepithelial suppressors of early breast cancer invasion which may be used by researchers to investigate their clinical validity and utility. |
format | Online Article Text |
id | pubmed-8163786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81637862021-06-10 High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins Duivenvoorden, Hendrika M. Brockwell, Natasha K. Nowell, Cameron J. Simpson, Kaylene J. Parker, Belinda S. Sci Data Data Descriptor Understanding how cancer cells interact with the surrounding microenvironment early in breast cancer development can provide insight into the initiation and progression of invasive breast cancers. The myoepithelial cell layer surrounding breast ducts acts as a physical barrier in early breast cancer, preventing cancer cells from invading the surrounding stroma. Changes to the expression profile and properties of myoepithelial cells have been implicated in progression to invasive carcinoma. Identifying the molecular drivers of myoepithelial cell-mediated tumour suppression may offer new approaches to predict and block the earliest stages of cancer invasion. We employed a high-content approach to knock down 87 different genes using siRNA in an immortalised myoepithelial cell line, prior to co-culture with invasive breast cancer cells in 3D. Combined with high-content imaging and a customised analysis pipeline, this system was used to identify myoepithelial proteins that are necessary to control cancer cell invasion. This dataset has identified prospective myoepithelial suppressors of early breast cancer invasion which may be used by researchers to investigate their clinical validity and utility. Nature Publishing Group UK 2021-05-28 /pmc/articles/PMC8163786/ /pubmed/34050191 http://dx.doi.org/10.1038/s41597-021-00924-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Duivenvoorden, Hendrika M. Brockwell, Natasha K. Nowell, Cameron J. Simpson, Kaylene J. Parker, Belinda S. High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
title | High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
title_full | High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
title_fullStr | High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
title_full_unstemmed | High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
title_short | High-content siRNA 3D co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
title_sort | high-content sirna 3d co-cultures to identify myoepithelial cell-derived breast cancer suppressor proteins |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163786/ https://www.ncbi.nlm.nih.gov/pubmed/34050191 http://dx.doi.org/10.1038/s41597-021-00924-9 |
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