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Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression
[Image: see text] Aberrant lipid accumulation and marked changes in cellular lipid profiles are related to breast cancer metabolism and disease progression. In vitro, these phenomena are primarily studied using cells cultured in monolayers (2D). Here, we employ multicellular spheroids, generated usi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535773/ https://www.ncbi.nlm.nih.gov/pubmed/31139713 http://dx.doi.org/10.1021/acscentsci.8b00932 |
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author | Vidavsky, Netta Kunitake, Jennie A. M. R. Diaz-Rubio, Maria Elena Chiou, Aaron E. Loh, Hyun-Chae Zhang, Sheng Masic, Admir Fischbach, Claudia Estroff, Lara A. |
author_facet | Vidavsky, Netta Kunitake, Jennie A. M. R. Diaz-Rubio, Maria Elena Chiou, Aaron E. Loh, Hyun-Chae Zhang, Sheng Masic, Admir Fischbach, Claudia Estroff, Lara A. |
author_sort | Vidavsky, Netta |
collection | PubMed |
description | [Image: see text] Aberrant lipid accumulation and marked changes in cellular lipid profiles are related to breast cancer metabolism and disease progression. In vitro, these phenomena are primarily studied using cells cultured in monolayers (2D). Here, we employ multicellular spheroids, generated using the MCF10A cell line series of increasing malignancy potential, to better recapitulate the 3D microenvironmental conditions that cells experience in vivo. Breast cancer cell lipid compositions were assessed in 2D and 3D culture models as a function of malignancy using liquid chromatography coupled with mass spectrometry. Further, the spatial distribution of lipids was examined using Raman chemical imaging and lipid staining. We show that with changes in the cellular microenvironment when moving from 2D to 3D cell cultures, total lipid amounts decrease significantly, while the ratio of acylglycerols to membrane lipids increases. This ratio increase could be associated with the formation of large lipid droplets (>10 μm) that are spatially evident throughout the spheroids but absent in 2D cultures. Additionally, we found a significant difference in lipid profiles between the more and less malignant spheroids, including changes that support de novo sphingolipid production and a reduction in ether-linked lipid fractions in the invasive spheroids. These differences in lipid profiles as a function of cell malignancy and microenvironment highlight the importance of coupled spatial and lipidomic studies to better understand the connections between lipid metabolism and cancer. |
format | Online Article Text |
id | pubmed-6535773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-65357732019-05-28 Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression Vidavsky, Netta Kunitake, Jennie A. M. R. Diaz-Rubio, Maria Elena Chiou, Aaron E. Loh, Hyun-Chae Zhang, Sheng Masic, Admir Fischbach, Claudia Estroff, Lara A. ACS Cent Sci [Image: see text] Aberrant lipid accumulation and marked changes in cellular lipid profiles are related to breast cancer metabolism and disease progression. In vitro, these phenomena are primarily studied using cells cultured in monolayers (2D). Here, we employ multicellular spheroids, generated using the MCF10A cell line series of increasing malignancy potential, to better recapitulate the 3D microenvironmental conditions that cells experience in vivo. Breast cancer cell lipid compositions were assessed in 2D and 3D culture models as a function of malignancy using liquid chromatography coupled with mass spectrometry. Further, the spatial distribution of lipids was examined using Raman chemical imaging and lipid staining. We show that with changes in the cellular microenvironment when moving from 2D to 3D cell cultures, total lipid amounts decrease significantly, while the ratio of acylglycerols to membrane lipids increases. This ratio increase could be associated with the formation of large lipid droplets (>10 μm) that are spatially evident throughout the spheroids but absent in 2D cultures. Additionally, we found a significant difference in lipid profiles between the more and less malignant spheroids, including changes that support de novo sphingolipid production and a reduction in ether-linked lipid fractions in the invasive spheroids. These differences in lipid profiles as a function of cell malignancy and microenvironment highlight the importance of coupled spatial and lipidomic studies to better understand the connections between lipid metabolism and cancer. American Chemical Society 2019-04-19 2019-05-22 /pmc/articles/PMC6535773/ /pubmed/31139713 http://dx.doi.org/10.1021/acscentsci.8b00932 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Vidavsky, Netta Kunitake, Jennie A. M. R. Diaz-Rubio, Maria Elena Chiou, Aaron E. Loh, Hyun-Chae Zhang, Sheng Masic, Admir Fischbach, Claudia Estroff, Lara A. Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression |
title | Mapping and Profiling Lipid Distribution in a 3D Model
of Breast Cancer Progression |
title_full | Mapping and Profiling Lipid Distribution in a 3D Model
of Breast Cancer Progression |
title_fullStr | Mapping and Profiling Lipid Distribution in a 3D Model
of Breast Cancer Progression |
title_full_unstemmed | Mapping and Profiling Lipid Distribution in a 3D Model
of Breast Cancer Progression |
title_short | Mapping and Profiling Lipid Distribution in a 3D Model
of Breast Cancer Progression |
title_sort | mapping and profiling lipid distribution in a 3d model
of breast cancer progression |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535773/ https://www.ncbi.nlm.nih.gov/pubmed/31139713 http://dx.doi.org/10.1021/acscentsci.8b00932 |
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